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CryoVEx 2011Campaign Implementation Plan

Prepared by: Timothy Pearson, Mike WoodingIssue: v0.2Date: December 2010Status: Draft

document.doc

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The purpose of this document is to provide an overall plan for future campaign activities focused on the validation of CryoSat-2 products. This plan includes information on the overall context for CryoSat-2-related campaigns, a detailed summary of the planned campaigns and information on the design of detailed field experiments.

CryoSat-2 CVRT Management

Malcolm DavidsonESTECPostbus 299Noordwijk 2200 AGThe NetherlandsTel: +31 71 565 5957Fax: +31 71 565 5675Email: [email protected]

Duncan WinghamDept of Space & Climate PhysicsUniversity College LondonGower StreetLondon, WC1E 6BTUKTel: + 44 20 7419 3677Fax: + 44 20 7419 3418Email: [email protected]

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CONTENTS

1. INTRODUCTION........................................................................................................................82. OVERVIEW.................................................................................................................................92.1. Overall objectives.........................................................................................................................92.2. List of Participants......................................................................................................................112.3. Summary of sites, PIs and validation objectives.........................................................................132.4. Location of the validation activities............................................................................................132.5. Schedule......................................................................................................................................142.6. Additional information................................................................................................................16

3. CAMPAIGN RESOURCES.......................................................................................................173.1. Aircraft........................................................................................................................................173.2. Airborne instruments...................................................................................................................223.3. Ships............................................................................................................................................273.4. Submarine measurement equipment...........................................................................................293.5. Ground-based measurement equipment......................................................................................303.6. Deployment of resources............................................................................................................33

4. LAND ICE ACTIVITIES...........................................................................................................354.1. Greenland interior.......................................................................................................................354.2. Austfonna, Svalbard....................................................................................................................394.3. Devon Island...............................................................................................................................43

5. SEA ICE ACTIVITIES...............................................................................................................495.1. Alert/Canadian Arctic.................................................................................................................495.2. Fram Strait...................................................................................................................................545.3. Baltic Sea....................................................................................................................................58

6. CRYOSAT-2 DATA ACCESS..................................................................................................616.1. CroSat-2 products.......................................................................................................................616.2. Payload Data Ground Segment (PDGS).....................................................................................616.3. Data access for cal/val users.......................................................................................................616.4. CUT.............................................................................................................................................636.5. Timescale....................................................................................................................................63

7. CONTACTS................................................................................................................................647.1. PIs................................................................................................................................................647.2. Aircraft operators........................................................................................................................647.3. Participants..................................................................................................................................64

Appendix 1 Co-located observations over sea ice..................................................................................66Appendix 2 Ground-based measurement methodologies.......................................................................67

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LIST OF FIGURES

Figure 2.1 Graphical representation of sources of error.........................................................................11Figure 2.2 Approximate location of CryoVEx 2011 activities...............................................................13Figure 3.1 Norlandair Twin Otter (OY-POF).........................................................................................17Figure 3.2 OY-POF instrument configuration........................................................................................17Figure 3.3 ASIRAS antenna (left) and laser scanner (right) mounted on OY-POF...............................18Figure 3.4 Sites to be visited by Norlandair Twin Otter, Spring 2011...................................................18Figure 3.5 Impression of ‘Polar 5’ (C-GAWI) equipped with EM Bird.................................................20Figure 3.6 CReSIS Radar Sensors on board NASA P-3B (N426NA)....................................................22Figure 3.7 ASIRAS operation.................................................................................................................23Figure 3.8 ATM data acquired on the first CryoSat-2 underflight.........................................................24Figure 3.9 Example of LVIS data...........................................................................................................25Figure 3.10 EM Bird installed on ‘Polar 5’............................................................................................26Figure 3.11 Helicopter-borne EM Bird...................................................................................................27Figure 3.12 RV Lance.............................................................................................................................27Figure 3.13 KV Svalbard........................................................................................................................28Figure 3.14 RV Aranda...........................................................................................................................28Figure 3.15 Typical AUV, Gavia, in its deployment ice hole................................................................29Figure 3.16 Sledge-mounted GPR (Austfonna, University of Oslo)......................................................30Figure 3.17 Snow depth derived from a sledge-mounted 800MHz GPR, Austfonna, 2007..................30Figure 3.18 UCL snow radar...................................................................................................................31Figure 3.19 University of Edinburgh VHB radar...................................................................................31Figure 3.20 Typical set-up for ground-based EM ice thickness surveys................................................32Figure 4.1 Plot of the EGIG Transect.....................................................................................................36Figure 4.2 Intensive observation site with corner reflector in background (left)....................................37Figure 4.3 Predicted CryoSat-2 orbits over Austfonna Ice Cap and annual GPS/GPR survey lines......41Figure 4.4 Location of sites on the Devon Ice Cap.................................................................................44Figure 4.5 Sun halo over Summit Camp, Devon Ice Cap, Nunavut.......................................................45Figure 4.6 Predicted CryoSat-2 orbits over Devon Ice Cap, Nunavut, 4 April-25 May 2011................47Figure 5.1 Proposed ‘Polar 5’ flight lines from Alert.............................................................................51Figure 5.2 In-situ ice and snow thickness / properties measurement......................................................52Figure 5.3 Location of CryoVEx 2011 activities in the Fram Strait.......................................................55Figure 5.4 Schematic of Baltic Sea experiment design..........................................................................59Figure 5.5 Predicted CryoSat-2 orbits over the Bay of Bothnia.............................................................60Figure 6.1 Data distribution mechanisms for CryoSat-2 cal/val users...................................................62Figure 6.2 Screenshot of the EOLi-SA catalogue browser.....................................................................62Figure 6.3 CUT interface........................................................................................................................63Figure 7.1 Effect of sea ice drift on acquisition of co-located observations...........................................66Figure 7.2 Typical coffee-can arrangement............................................................................................69

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LIST OF TABLES

Table 2.1 CryoSat-2 mission requirements...............................................................................................8Table 2.2 CryoSat-2 validation requirements with related chapters in CCVC document........................9Table 3.1 Complete schedule of OY-POF charter, Spring 2011............................................................18Table 3.2 Basler BT-67 (DC-3) and its mission performance data........................................................19Table 3.3 Lockheed Martin P-3B mission performance data.................................................................20Table 3.4 CReSIS Radar Sensors on board NASA P-3B (N426NA).....................................................25Table 6.1 Overview of CryoSat-2 products............................................................................................60

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REFERENCE DOCUMENTS

[R1] CryoSat Mission Requirements Document, CS-RS-UCL-SY-0001, Issue 1, 21 September 1999, Centre for Polar Observation & Modelling, Department of Space & Climate Physics, University College London, UK

[R2] CryoSat Mission and Data Description, CS-RP-ESA-SY-0059, Issue 3, 2 Jan 2007, ESTEC, The Netherlands

[R3] CryoSat Calibration and Validation Concept (CCVC), CS-PL-UCL-SY-0004, Issue 1, 14 November 2001, Centre for Polar Observation & Modelling, Department of Space & Climate Physics, University College London, UK

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ACRONYMS AND ABBREVIATIONS

ALS Airborne Laser Scanner (AWI)

AO Announcement of Opportunity

AP Alternating Polarisation Mode (ASAR)

ASAR Advanced Synthetic Aperture Radar (Envisat)

ASIRAS Airborne Synthetic Aperture and Interferometric Radar Altimeter System

ATM Airborne Topographic Mapper (NASA)

AUV Automated Underwater Vehicle

AVHRR Advanced Very High Resolution Radiometer (NOAA)

AWI Alfred Wegner Institute

AWS Automatic Weather Station

CCVC CryoSat Calibration and Validation Concept

CIP Campaign Implementation Plan

CNES Centre National d'Études Spatiales

CPOM Centre for Polar Observation & Modelling (UCL)

CR Corner Reflector

CReSIS Center for Remote Sensing of Ice Sheets

CUT CryoSat User Tool

CVRT Calibration, Validation and Retrieval Team

DTU Danmarks Tekniske Universitet (Danish Technical University)

EGIG l’Expedition Glacialogique Internationale au Groenland

EM Electromagnetic

EOLi-SA Earth Observation Link – Stand-alone

EOPI Earth Observation Principal Investigator

ESA European Space Agency

ESRIN ESA Centre for Earth Observation (ESA)

ESTEC European Space Research and Technology Centre (ESA)

FBR Full Bit Rate

FDM Fast Delivery Ocean product (SIRAL)

FMCW Frequency Modulated Continuous-wave radar

FMI Finnish Meteorological Institute

FOS Flight Operations Segment

FYI First-year Ice

GDR Geophysical Data Record

GPR Ground Penetrating Radar

GPS / DGPS Global Positioning System / Differential Global Positioning System

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HAM High Altitude Mode (ASIRAS)

INS Inertial Navigation System

LAM Low Altitude Mode (ASIRAS)

LRM Low-resolution Mode (SIRAL)

LSS Last Summer Surface

LTA Long-term Archiving

LVIS Laser Vegetation Imaging Sensor (NASA)

MCoRDS Multicoherent Radar Depth Sounder (CReSIS)

MDD Mission and Data Description

MODIS Moderate Resolution Imaging Spectroradiometer (NASA)

MURM Mission and User Requirements Management

MYI Multi-year Ice

NASA National Aeronautics and Space Administration

NOAA National Oceanic and Atmospheric Administration

NPI Norwegian Polar Institute

NRT Near-real time

PDS / PDGS Payload Data Segment / Payload Data Ground Segment

PI Principal Investigator

RSAC Remote Sensing Applications Consultants Ltd

SARIn SAR-Interferometric Mode (SIRAL)

SIRAL Synthetic Aperture Interferometric Radar Altimeter (CryoSat-2)

SPRI Scott Polar Research Institute

UCL University College London

VHB Very High Bandwidth

WSM Wide Swath Mode (ASAR)

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1. INTRODUCTION

The Earth Explorer satellites of the European Space Agency’s (ESA) Living Planet Programme are missions focussed on specific Earth system issues and are selected through open, scientific competition. The CryoSat-2 mission provides measurements of mass and thickness fluctuations in the Earth’s land and marine ice fields to the wider scientific and applications community. The measurements are of particular importance for the testing and verification of mesoscale and regional numerical models that include cryospheric components, and for improving the understanding of present changes in global sea level. The wider community requires measurements that need no further processing for their application and which are supported by estimates of their uncertainty.

CryoSat-2, launched on 8 April 2010, is a replacement of the CryoSat satellite that was lost due to launch failure on 8 October 2005. The CryoSat-2 announcement of opportunity (AO) is aimed at establishing the uncertainty in measurements of sea ice thickness and land ice thickness change. In the frame of the CryoSat mission, a Calibration, Validation and Retrieval Team (CVRT) was previously established and has been augmented by new Principal Investigators following the second AO. The role of the CVRT is to help elaborate details of coordinated cal/val strategy, to contribute to cal/val efforts and to provide feedback to ESA on the results thereof.

ESA has supported extensive pre-launch validation campaigns by providing simultaneous overflights of surface experiments performed by CVRT members in Greenland, Canada, Svalbard and the Arctic Ocean in 2003, 2005, 2006, 2007 and 2008. These experiments were coordinated by the CVRT to ensure optimal use of the aircraft and maximise the value of data. Moving forwards, ESA will coordinate further campaigns aimed at the validation and calibration of CryoSat-2 data products in relation to the commissioning phase of the satellite.

The purpose of the CryoVEx2011 Campaign Implementation Plan (CIP) is to describe the plans for validation activities to be carried out in the Arctic during Boreal Spring 2011 and to demonstrate how these meet the stated requirements laid out in the CryoSat Calibration and Validation Concept (CCVC) document [R3]. The plan includes information on the overall context of the CryoSat-2 Cal/Val Campaign, a summary of the planned activity and detailed information on the design of field experiments, the groups responsible for their implementation, their schedule, and the related schedule of satellite and ground segment operations.

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2. OVERVIEW

2.1. Overall objectives

A full description of the CryoSat-2 mission objectives is provided in the CryoSat Mission Requirements document [R1]. The scientific requirements demand that CryoSat-2 measures variations in the thickness of perennial sea and land ice fields to the limit allowed by natural variability (see Table 2.1). The measurements provided by CryoSat-2 will have associated with them a level of measurement uncertainty. This uncertainty arises from:

imperfections in the measurement system, leading to errors in the level 1b data (note that the data processing levels for CryoSat-2 are described in the CryoSat Mission and Data Description document [R2]);

imperfections in, or lack of knowledge of the geophysical assumptions used to transform the level 1b data to level 2 and higher.

The first of these sources of uncertainty is the subject of calibration, while the second is the subject of validation.

Requirement Sea Ice105 km2

Ice Sheets104 km2

Ice Sheets13.8×106 km2

Minimum Latitude 50° 72° 63°

System Measurement Accuracy 1.6 cm/yr 3.3 cm/yr 0.7 cm/yr

Performance 1.2 cm/yr 2.7 cm/yr 3.3 cm/yr 0.12 cm/yr

Mode SAR LRM SARIn SARIn/LRM

Table 2.1 CryoSat-2 mission requirements

A comprehensive evaluation of the contributions to these uncertainties and the potential methods available to estimate them is given in the CCVC document [R3]. It is shown that to verify the mission requirements it is necessary to determine the covariance of the level 1b and level 2 errors, and that this places considerable demands on the nature and quantity of the independent measurements used to verify the uncertainties. The document [R3] is effectively the source of requirements for calibration and validation, as well as a summary of means available to satisfy these requirements.

The overall objective of all CryoSat-2 validation activities is thus to assess and quantify uncertainty in the CryoSat-2 measurements of sea ice thickness and land ice thickness change. The principal means for carrying out this program will be through dedicated, independent, ground-based and airborne campaigns along with detailed investigations of retrieval methods applied to the satellite measurements.

In Table 2.2 the validation requirements are listed as a function of the source of error in the CryoSat-2 products. The requirements for land and sea ice validation are subdivided and a reference to the appropriate chapter in the CCVC is given for each source. In terms of the planning of validation campaigns, the requirements listed in Table 2.2 have a number of important implications, which need to be addressed in the validation plan.

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Error Source CCVC [R3] Chapter Required measurements for validation

Land Ice

1) Snowfall fluctuation 3.2

Ice core observations

Reappraisal of existing accumulation records

Shallow firn radar measurements

Improved ablation modelling

2) Near surface density 3.3Improved modelling using in situ forcings

Densification time-series

3) Retrieval error – time-varying penetration 3.4.2, 3.4.3

Comparison with airborne or ICESat laser measurements

Detailed investigation of time-variant 13.8Ghz volume scattering using airborne laser/radar systems

In situ transponder measurements

4) Retrieval error - atmospheric refraction error 3.4.2 Model investigations of expected contribution

Sea Ice

5) Snow loading 4.2

In situ measurements

Reappraisal of existing snow depth records

Very narrow beam firn radar measurements

6) Ice Density 4.3Helicopter electromagnetic thickness and freeboard measurements

Sea ice coring

7) Preferential sampling 4.1, 4.5Coincident laser altimetry and imagery

Coincident CryoSat-2 measurements and imagery

8) Freeboard error - Geometric & penetration errors 4.4.2, 4.4.3

Comparison with airborne or ICESat laser measurements

Detailed investigation of time-variant 13.8Ghz volume scattering using airborne laser/radar systems

9) Freeboard error - Ocean Tide Error 4.4.1, 4.4.2 Direct measurement from CryoSat-2 satellite data

10) Freeboard error - Ocean Geoid error 4.4.1, 4.4.2

Comparison with CHAMP and GRACE satellite measurements

Comparison with ground survey

11) Freeboard error - Ocean variability error 4.4.1, 4.4.2 Direct measurement from CryoSat-2 satellite data

12) Freeboard error - atmospheric refraction error 4.4.1, 4.4.2 Model investigations of expected contribution

Table 2.2 CryoSat-2 validation requirements with related chapters in CCVC document

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Figure 2.1 Graphical representation of sources of errorkey sources highlighted in blue

2.2. List of Participants

AWI

Helm, VeitHendricks, StefanHerber, AndreasSteinhage, Daniel

DTU Space

Forsberg, ReneSkourup, Henriette

Finnish Meteorological Institute

Haapala, JariHeiler, IstvánLensu, Mikko

Geological Survey of Canada

Burgess, DaveDemuth, Michaelvan Wychen, Wes

Laboratoire d'Oceanographie de Villefranche

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Doble, Martin

NASA

Krabill, WilliamStudinger, Michael

NOAA/NESDIS/ORA Lab for Satellite Altimetry

McAdoo, David

Norwegian Polar Institute

Gerland, SebastianKohler, JackBrandt, OlaFarsstrøm, SanjaGjerland, AudunGranskog, MatsGoodwin, HarveyHansen, EdmondRenner, AngelikaTårand, AnnaTronstad, Stein

Scott Polar Research Institute

Morris, Liz

University College London

Laxon, SeymourGiles, Katherine

University of Alberta

Haas, ChristianSharp, MartinBeckers, JustinDanielson, BradGascon, GabrielleGeai, Marie-LaureTremaine, Terry

University of Edinburgh

Nienow, Petede la Peña, Santiago

University of Oslo

Hagen, Jon OveEiken, TrondSchuler, ThomasIms, Torbjørn

University of Ottawa

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de Jong, Tyler

2.3. Summary of sites, PIs and validation objectives

Site PI Validation objectives addressed

1 2 3 4 5 6 7 8 9 10 11 12

Greenland interior Morris/Nienow

Austfonna, Svalbard Hagen

Devon Island Demuth/Sharp

Alert/Canadian Arctic Haas

Fram Strait Gerland

Baltic Sea Haapala

2.4. Location of the validation activities

Figure 2.2 shows the approximate locations of the PI-led activities described in the rest of this document. Where activities extend over a very large area, a general, central point is indicated.

Figure 2.2 Approximate location of CryoVEx 2011 activities

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green = land ice campaigns; blue = sea ice campaigns

2.5. Schedule

The formal Commissioning Phase of the CryoSat-2 mission came to an end in October 2010. Commissioning has so far addressed technical issues and instrument functionality but, since validation with ground data is seasonally dependant and the satellite has yet to ‘live’ through a Boreal winter, data products are not yet fully tested. Therefore, the CVRT will be engaged in Commissioning activities through Spring 2011 in order to provide a first assessment of data products, and report on instrument calibration activities. The CryoSat-2 Validation Workshop will be held on 1-3 February 2011 at ESRIN, Frascati, Italy.

The activities of CryoVEx 2011 are concentrated in April and May 2011, although work in the Baltic Sea will take place earlier. All activities, and in particular the flight schedules of the aircraft involved in the campaign, are subject to weather conditions and the plan is flexible to account for this.

During the ‘Science’ mission phase that follows the commissioning phase, the CVRT will support the validation of data products, investigations of retrieval algorithms and ongoing monitoring of the instrument system and data products. They will support the System Performance and Retrieval Algorithm Workshop, which will consolidate the experience gained after 18 months of CryoSat-2 operation.

An important outcome of the System Performance and Retrieval Algorithm Workshop will be a consolidated recommendation from the CVRT as to the optimal level 1b and level 2 retrieval algorithms with which to reprocess the data. The reprocessing of the entire data set is foreseen in the mission planning because the primary instrument carried by CryoSat-2 – the synthetic aperture interferometric radar altimeter (SIRAL) – is a new type of radar altimeter. Past experience shows that with new sensors, retrieval algorithms may be greatly improved in the light of experience gained in using the data. Evaluation of the performance of retrieval algorithms is also greatly helped by supporting ground observations. It is for this reason that the two activities of algorithm design and validation are integrated within the activities of the CVRT.

It is anticipated that some validation activities, together with ongoing system and data monitoring, will continue throughout the mission lifetime, nominally 3.5 years after launch.

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2.6. Additional information

To support potential users of the CryoSat-2 mission, and in particular to support the cal/val activities, three documents have been prepared to provide a detailed description of the mission as a whole.

The CryoSat Mission Requirements Document [R1]: This document contains a description of the scientific context of the mission, the scientific and measurement objectives and how these are related, an introduction to the thickness and elevation retrievals, and an outline of the satellite system and data products. This document is of general interest. It is, essentially, a large portion of the contents of the original CryoSat mission proposal. The technical information is expanded and updated in the MDD (see below).

The CryoSat Mission and Data Description (MDD) [R2]: This document provides a technical description of the CryoSat mission sensors, platform, ground segment, operations, and data products. This document is of general interest. It contains, in particular, details of the mission phases, orbits, instrument measurement modes, management of satellite operations and explanation of planned data products.

The CryoSat Calibration and Validation Concept (CCVC) [R3]: This document describes the objective of the validation and calibration activity, and the range of surface measurements of importance in achieving these calibration and validation objectives. It provides both a theoretical framework for understanding the validation objectives, and a range of practical approaches and experiments. It is particularly aimed at individuals or groups interested in field activities in support of the CryoSat-2 mission.

CryoSat-2 is very substantially a replica of CryoSat, intended to fulfil the original CryoSat mission. The small changes between CryoSat-2 and the original satellite are described in the MDD.

In addition to these documents, a scientific description of the mission, the level 1b and level 2 retrieval algorithms and their verification may be found in:

Wingham et al. (2006), CryoSat: A mission to determine the fluctuations in Earth’s land and marine ice fields, Advances in Space Research, 37:841-871

These documents, which will be updated from time to time, and other material relating to the CryoSat-2 mission, can be downloaded from the CryoSat-2 website at http://eopi.esa.int/CryoSat-2CalVal.

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3. CAMPAIGN RESOURCES

3.1. Aircraft

3.1.1. Norlandair Twin Otter

A De Havilland Canada DHC-6-300 Twin Otter (OY-POF) with wheels and skis will be chartered from Norlandair by DTU Space from 11 April to 8 May 2011. The aircraft was formerly owned by Air Greenland and is based at Kangerlussuaq.

The Twin Otter is suitable for a short take-off and landing site (required runway ~200m) and has a maximum range of 1500km (6 hours’ flying) with airspeeds up to 250km/h.

Figure 3.3 Norlandair Twin Otter (OY-POF)

The Twin Otter is adapted to fly ASIRAS, a laser scanner and APL’s D2P radar altimeter (see Figure3.4). Differential GPS and inertial systems provide positioning accuracies to within 10-40cm and 0.05 degrees (depending on atmospheric conditions). A nadir-looking digital camera is also mounted on the aircraft, providing continuous images which can be correlated with other data to provide a record of the flight line.

Figure 3.4 OY-POF instrument configuration

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Figure 3.5 ASIRAS antenna (left) and laser scanner (right) mounted on OY-POF

The aircraft carries 5 personnel (2 pilots, a mechanic and 2 scientists).

In 2011 OY-POF will perform a tour of most CryoVEx sites (see Table 3.3 and Figure 3.6) to conduct flights in coordination with CryoSat-2 ground tracks and other campaign activities. For this purpose, the aircraft will be configured to carry ASIRAS and a laser scanner, the same instrumentation that were flown in 2006 and 2008. During the Easter period (21-25 April 2011), OY-POF will return to Kangerlussuaq to conduct flights for a Danish national project, PROMICE, using a different instrument configuration. Between campaigns, when the aircraft is empty of instrumentation, OY-POF may be used to ferry scientists and equipment into the Greenland interior (see §4.1).

Figure 3.6 Sites to be visited by Norlandair Twin Otter, Spring 2011

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blue: activities before Easter; green: activities after Easter

Week Date Activities

Apr

il

15

11 Kangerlussuaq: Install instruments

12 Install instruments, local test flight

13 Kangerlussuaq – Thule AB – Alert

14

Alert

15

16

17

16

18

19 Alert – Thule AB – Kangerlussuaq

20 Spare

21 Change instruments

22 Change instruments

23 PROMICE flights (Danish national project)

24 Change instruments

17

25 Change instruments

26 Kangerlussuaq – Ilulissat

EGIG line, CryoSat-2 track

27 Ilulissat – EGIG-line – Constable Point – Station Nord

28 Station Nord – Svalbard

29 Austfonna (Kongsvegen)

30 Flight north of Svalbard, RV Lance (CryoSat-2 track)

May

1 Spare

18

2 Svalbard – St. Nord, local flight St. Nord

3 St. Nord – Thule AB

4 Devon Ice Cap

5 Spare

6 Thule AB – Kangerlussuaq

7 Spare

8 Uninstall instruments

Table 3.3 Complete schedule of OY-POF charter, Spring 2011

The following personnel are involved in Norlandair Twin Otter operations:

Name Institution

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Forsberg, Rene DTU Space

Skourup, Henriette DTU Space

3.1.2. AWI ‘Polar 5’

A Basler BT-67 (DC-3) aircraft, ‘Polar 5’ (C-GAWI), has been purchased by AWI to undertake surveys in the Polar Regions. It is equipped with an EM system (see Figure 3.7), an Airborne Laser Scanner (ALS) and a nadir video & photography system.

Maximum payload 3,500kg

Endurance for ferry 3,500km

Endurance 600/1,000kg 2,600/2,100km

Number of passengers 18 PAX

Min./max. cruising speed 156/390km/h

Take off/landing speed 116/120km/h

Maximum take-off elevation 4,100m

Pitch angle during flight 0°

Power supply each engine 400A

Table 3.4 Basler BT-67 (DC-3) and its mission performance data(values account for crew and 45’ fuel reserve but no skis)

Figure 3.7 Impression of ‘Polar 5’ (C-GAWI) equipped with EM Bird

During Spring 2011, from 1 March to 6 May, ‘Polar 5’ will participate in PAM-ARCMIP (Pan-Arctic Measurements and Arctic Regional Climate Model Simulations), which aims to provide a unique snapshot of trace gases and aerosol distributions, meteorological conditions, and sea ice distribution in

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the inner Arctic. As part of this schedule, the aircraft will visit Barrow, Inuvik, Resolute Bay, Alert, Eureka, Station Nord and Longyearbyen. Those operations in Alert (11-18 April 2011) and Longyearbyen (29 April – 4 May 2011) will be coordinated to additionally serve the objectives of the CryoVEx 2011 Campaign.

It is foreseen that ‘Polar 5’ EM Bird operations out of Alert, Canada, will be repeated for the period 2011-2012.

The following personnel are involved in ‘Polar 5’ operations:

Name Institution

Hendricks, Stefan (PI) AWI

Herber, Andreas AWI

Steinhage, Daniel AWI

Helm, Veit AWI

Haas, Christian University of Alberta

3.1.3. Kenn Borek Twin Otter

A second Twin Otter will be chartered from Kenn Borek Air Ltd (KBAL), a diversified aircraft charter and leasing operation in Canada.

It will be used primarily to ferry ground teams and equipment in and out of Alert and from Alert to two preselected sites on the Arctic Ocean sea ice.

3.1.4. NASA P-3B

The Lockheed Martin P-3B aircraft (N426NA), based at Wallops Flight Facility, Virginia, USA, is ideally suited for low altitude heavy lift airborne science missions. The NASA P-3B has a long history of supporting cryosphere studies, and due to the long range of the aircraft, it is able to support ice sheet studies in both the Arctic and Antarctic polar regions from bases at more temperate latitudes.

Flight duration 8-12hrs

Payload ≤ 16,700lbs

Altitude 28,000 feet

Airspeed 330 knots

Range ≤ 3,800 nautical miles

Table 3.5 Lockheed Martin P-3B mission performance data

From 2009 to 2016, N426NA will take part in Operation IceBridge, which uses instrumented aircraft to bridge the observational gap between ICESat and ICESat-2, thus providing a cross-calibrated 17-year time series of ice sheet and sea ice elevation data together with CryoSat-2. In addition to laser altimetry, IceBridge is using the most comprehensive and sophisticated suite of instruments ever flown in polar research to yield an unprecedented three-dimensional view of the Arctic and Antarctic ice sheets, ice shelves, and sea ice.

N426NA generally operates in the Arctic, covering Greenland and the Arctic Ocean. In 2011 it will be active from March to mid-May. Among other instrumentation, it will be equipped with four radars for

Tim Pearson, 09/12/10,
MD: Who is responsible contact?
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snow and ice thickness measurements (see Figure 3.8). The MCoRDS array is the largest external structure ever flown on a P-3.

N426NA operations may be coordinated with ground-based activities to contribute to the CryoVEx dataset.

Figure 3.8 CReSIS Radar Sensors on board NASA P-3B (N426NA)

The following personnel are involved in N426NA operations:

Name Institution

Studinger, Michael NASA

Krabill, William NASA

McAdoo, David NOAA/NESDIS/ORA Lab for Satellite Altimetry

3.2. Airborne instruments

3.2.1. ASIRAS

Within the frame of the CryoSat mission, ESA has developed an airborne proxy for ‘SIRAL’ radar altimeter on CryoSat-2. The Airborne Synthetic Aperture and Interferometric Radar Altimeter System (ASIRAS) has been integrated into an airborne platform and operates with simultaneous laser altimetry and optical imagery to provide detailed information on the interaction of the radar echo with land- and sea-ice surfaces.

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ASIRAS was built by Radar Systemtechnik (RST) of Switzerland with the support of the Alfred Wegner Institute (AWI) and Optimare for implementation and operation on an aircraft.

The instrument can be flown at altitudes of 300m to 7km with a typical recording time of 5 hours. It is fully supported with onboard differential GPS and an inertial navigation system (INS) providing high-precision navigation and aircraft attitude (pitch and roll) data.

The ASIRAS instrument operates with a centre frequency of 13.5 GHz with a bandwidth of of 100MHz to 1GHz. The pulse transmit/receive antenna half power beam widths are 10° along track and 2.5° across track, resulting in a beam limited footprint of 50×5m for flight altitudes of 1100m above any surface. The instrument is designed with two modes of operation. High altitude mode (HAM) operates at altitudes above ~1000 m as phase coherent pulse-width limited radar with interferometric capability with optional manual or on-board (automatic) surface tracking. At lower altitudes a new mode was built into the system in 2005. The low altitude mode (LAM) operates as a FMCW at operationally programmable ranges of altitudes between 0 and 1200m (tested between 300-1000m). LAM does not include interferometric capability, nor does it allow surface tracking. An updated LAM mode (LAM-A) with reduced data volume was verified in 2007. A side-effect of LAM-A is that the ASIRAS to surface range may not vary more than 20m (t.b.c.) and is therefore suited only to surfaces with minimal topography (open water and sea ice). For 2011, new software has been implemented.

Figure 3.9 ASIRAS operation(left) ASIRAS operating modes; (top right) ASIRAS waveforms over multi-year (MY) and first year

(FY) sea ice; (bottom right) ASIRAS waveforms over corner reflectors (arrows) on sea ice

Further information concerning the performance of the ASIRAS radar and its data may be found at:

MY FY

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ftp.cryosat.esa.int

Username: cryo-calvalaoPassword: cryo_validationDirectory: from_estec/Documents/

3.2.2. Laser scanners

The DTU Space laser scanner is a near-infrared laser altimeter with a scan angle of ±30° corresponding to a swath width of 300-500m at a flight altitude of 300-500m. The footprint at 300m is 0.75×1.00m. The normal data rate is 8 kHz, giving 208 measurements across track and 1.5-2.0m line spacing. The laser scanner measurements are combined with differential GPS and inertial navigation system observations and nadir looking photography. The estimated accuracy is ±2cm in addition to any error from the GPS position.

The AWI Airborne Laser Scanner (ALS) provides a swath of height measurements at a scan rate of 18kHz. The scan angle is ±22.5°, giving 45° in total, and the expected height accuracy 10-15cm. A strip of approximately 400m on the ground is imaged from a flight altitude of 500m. Each scan consists of 113 single laser shots spread across the swath, giving an across track sampling distance of approximately 4m.

The Airborne Topographic Mapper (ATM) is a scanning laser altimeter developed and used by NASA for observing the Earth's topography for several scientific applications, foremost of which is the measurement of changing arctic and antarctic icecaps and glaciers. It typically flies on the NASA P-3B aircraft or on a Twin Otter at an altitude between 400 and 800m (1,500ft) above ground level, and measures topography to an accuracy of 10-20cm. The ATM platform incorporates GPS (global positioning system) receivers and inertial navigation system (INS) attitude sensors.

Figure 3.10 ATM data acquired on the first CryoSat-2 underflight

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NASA's Laser Vegetation Imaging Sensor (LVIS, a.k.a. the Land, Vegetation, and Ice Sensor), is an airborne laser altimeter designed to quickly and extensively map surface topography as well as the relative heights of other reflecting surfaces within the laser footprint. LVIS is capable of operating from 500 m to 10 km above ground level with footprint sizes from 1 to 60m. Laser footprints can be randomly spaced within the 7° telescope field-of-view, constrained only by the operating frequency of the ND:YAG Q-switched laser (500Hz). A significant innovation of the LVIS altimeter is that all ranging, waveform recording, and range gating are performed using a single digitiser, clock base, and detector. The surface height distribution of all reflecting surfaces within the laser footprint can be determined, for example, tree height and ground elevation. The LVIS, which also includes data from an integrated inertial navigation system (INS) and global positioning system (GPS), is designed, developed and operated by the Laser Remote Sensing Laboratory, at Goddard Space Flight Center. The instrument is typically flown on board a NASA DC-8 aircraft.

Figure 3.11 Example of LVIS data

3.2.3. Radars

NASA’s P-3B, N426NA, has a suite of four radar instruments with an operating range of 190MHz to 15GHz (see Table 3.6).

Instrument Measurements Frequency (Bandwidth)

MCoRDS

Ice ThicknessBed CharacteristicsBed ImagingInternal Layering

195MHz (30MHz)

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Accumulation Internal Layering 750MHz (300MHz)

Snow RadarSnow CoverInternal LayeringTopography

4.5GHz (4GHz)

Ku-Band Snow CoverTopography 14GHz (4GHz)

Table 3.6 CReSIS Radar Sensors on board NASA P-3B (N426NA)

With a total of 15 receive elements in the antenna, distributed across the wingspan of the P-3, the MCoRDS instrument has the sensitivity required to sound the deepest parts of fast-flowing glaciers.

3.2.4. EM sensors

EM sensor systems manufactured by Ferra Dynamics, known as EM Birds, are owned and operated by AWI, NPI and the University of Alberta. The airborne sensors provide independent precise measurements of actual sea ice thickness using the principle of electromagnetic induction sounding. The sensor is suspended beneath an aircraft or helicopter at heights of between 10-20m above the ice surface (see Figure 3.13). Total (ice plus snow) thickness data is collected every 3-4m with an accuracy of ±10cm over level ice. The EM Bird also includes a laser altimeter to measure the distance to the ice surface, which provides additional information about surface roughness and pressure ridge statistics.

A helicopter-borne system (sometimes called HEM Bird) has a typical range of 300 nautical miles and typically flies at a speed of approximately 100km/h.

Figure 3.12 EM Bird installed on ‘Polar 5’

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Figure 3.13 Helicopter-borne EM Bird

3.3. Ships

3.3.1. RV Lance

From 26 April to 16 May 2011, the RV Lance will conduct an interdisciplinary cruise north of Svalbard to make transect(s) across the marginal ice zone and the ice shelf edge and conduct ice stations.

The ship is accompanied by a helicopter equipped with the EM Bird instrument.

RV Lance has an IceCam permanently installed.

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Figure 3.14 RV Lance

The following personnel are involved in RV Lance operations:

Name Institution

Gerland, Sebastian Norwegian Polar Institute

Granskog, Mats Norwegian Polar Institute

Renner, Angelika Norwegian Polar Institute

3.3.2. KV Svalbard

The Norwegian ice breaker KV Svalbard could be used in support of sea ice activities in the Fram Strait, either on an additional cruise earlier in April or in place of RV Lance (§3.3.1).

Figure 3.15 KV Svalbard

3.3.3. RV Aranda

FMI will conduct a sea ice cruise in the Bay of Bothnia from 22 February to 5 March 2011. The cruise is interdisciplinary, addressing sea-ice dynamics and biogeochemical studies as well as collecting field data for satellite remote sensing and model validation studies.

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Aranda is a modern, ice-reinforced research vessel. She was planned for Baltic Sea research but, in principle, is able to operate in all seas. The length of the ship is 59.2m, with a beam of 13.8m and gross register tonnage of 1,734GT. The ship accommodates a research staff of 25 persons.

In addition to a complete oceanographic measurement capability, the RV Aranda is equipped with ice-cam, a radar digitising unit and a ship-borne EM31 for sea-ice studies.

Figure 3.16 RV Aranda

The following personnel are involved in RV Aranda operations:

Name Institution

Haapala, Jari Finnish Meteorological Institute

3.4. Submarine measurement equipment

3.4.1. Automated Underwater Vehicle

An Automated Underwater Vehicle (AUV) could be made available from the University of Cambridge to conduct draft surveys in coordination with airborne acquisitions.

With its range of 70km, the AUV is capable of making long transects or gridded surveys, although beneath 100% sea ice it must be tethered and is therefore restricted to a typical radius of ~150m.

The imaging swath is 100m wide and navigation accuracy on long transects is ±100m over 10km.

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Figure 3.17 Typical AUV, Gavia, in its deployment ice hole

The Cambridge University AUV could be operated from RV Lance.

The following personnel are involved in AUV operations:

Name Institution

Doble, Martin Laboratoire d'Oceanographie de Villefranche

3.5. Ground-based measurement equipment

3.5.1. Ground Penetrating Radar

Snow radars are Ground Penetrating Radars (GPR) with high enough frequency and resolution to see the annual layer.

Geological Survey of Canada GPR, 13GHz

University of Oslo / NPI GPR, 800MHz and/or 500MHz

UCL snow radar

University of Edinburgh VHB radar, centre frequency 10GHz bandwidth, 16GHz, located in Alert, to be used in Greenland Interior if it can be transferred in time.

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Figure 3.18 Sledge-mounted GPR (Austfonna, University of Oslo)

Figure 3.19 Snow depth derived from a sledge-mounted 800MHz GPR, Austfonna, 2007

Figure 3.20 UCL snow radar

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Figure 3.21 University of Edinburgh VHB radar

3.5.2. EM

The EM31 is a commercially available ground conductivity meter which can be used to rapidly and accurately measure the total (snow plus ice) thickness of sea ice. It operates with a signal frequency of 9.8kHz and has transmitting and receiving coils spaced 3.66m apart, which can be operated in vertical or horizontal dipole mode. Sea ice thickness measurements are usually performed in the horizontal dipole mode (HDM), and ice thickness results from a simple, logarithmic relationship with the measured apparent conductivity, which can be applied once the conductivity of the seawater is known. The EM31 can be mounted on a sled (see #) and can obtain continuous measurements while moving.

During all CryoVEx sea ice validation activities, EM31s will be used to provide upscaling from spase drill-hole measurements to larger spatial scales obtained by airborne measurements, where the drill-hole measurements will be used for calibration. This procedure will provide more representative data on the ice thickness distribution of a certain floe than could be obtained by drill-hole measurements alone, and is therefore ideal for comparison with the airborne surveys. Snow thickness data will be obtained at each measurement location using a snow stake.

Figure 3.22 Typical set-up for ground-based EM ice thickness surveysshowing an EM31 mounted on a pulka sled and a coincident measurement of snow thickness using a

snow stake

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A Geonics EM31 owned by NPI will be used on ice stations during the RV Lance cruise. Further instruments owned by FMI and the University of Alberta will be used during the campaign.

3.5.3. Neutron probe

An ice auger is used to create a 10m access hole and the neutron density probe is raised slowly from the base of the hole recording the density profile as it progresses.

3.5.4. DGPS

Height measurement accuracy is expected to be better than 5cm using kinematic GPS and with post processing of measurements from fixed point and roving GPS.

There is a requirement for DGPS observation of the corner reflector sites to be used for post-processing of airborne data. Observations of corner reflectors should last at least 2hrs. The corner reflector sites should also be positioned on site with an accuracy of approximately 5 m and the position carefully relayed to the airborne teams.

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3.6. Deployment of resources

3.6.1. By site

Site Airborne sensors Ground-based equipment Aircraft Ship

 

ASI

RA

S

Lase

r sca

nner

EM B

ird

CR

eSIS

GPR

EM Neu

tron

pro

be

Rou

ghne

ss p

rofil

er

Cof

fee-

can

DG

PS

Cor

ner r

efle

ctor

s

AW

S

   

Greenland interior OY-POF

Twin OtterC-130

Austfonna, Svalbard OY-POF

Devon Island OY-POF

Alert/Canadian Arctic ? OY-POFPolar 5

Twin Otter

Fram Strait OY-POFPolar 5

HelicopterRV Lance

Baltic Sea Helicopter RV Aranda

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3.6.2. By time

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4. LAND ICE ACTIVITIES

4.1. Greenland interior

Proposal ID PI Institution

1268 Elizabeth Morris Scott Polar Research Institute

1278 Peter Nienow University of Edinburgh

4.1.1. Validation purpose

Error sources to be addressed

1 2 3

The main objectives of the activity are:

to quantify errors in the retrieval of land ice elevation by the SIRAL instrument; and

to assess the extent to which elevation changes in the ice reflect actual changes in ice mass.

CryoVEx experiments in Spring and Autumn 2011 are an opportunity to:

provide ground truth for ASIRAS and SIRAL;

extend the accumulation record by 4 years (currently c.25 years);

investigate densification over short time scales.

In particular, the work will seek to assess the effect of short-term fluctuations in accumulation surface density and compaction on the accuracy of satellite measurements of the long-term trend in ice sheet elevation.

Furthermore, the waveform retracker will be improved and a backscatter model produced for the percolation zone.

4.1.2. Overview of measurement activities

The validation activities are to take place along a transect across Greenland’s interior. Two ground teams (UK1 and UK2) will be active on different parts of the ice sheet and for different periods.

The EGIG (l’Expedition Glacialogique Internationale au Groenland) Transect runs approximately East-West across the central part of Greenland, along latitude 70°N, and covers a wide variety of snow and ice regimes due to height variations along the transect (see Figure 4.23). It has been used for glaciological research since the 1950s.

In 2011, existing radar and ground data will be extended across the percolation zone – dry snow zone boundary, i.e. from T21 down to T12, collecting a full suite of complementary spring and autumn data for the same year.

The transect from T21 to Summit will be covered in Spring and Autumn by UK1.Thus, pairs of measurements separated in time will be obtained and the densification rate can be calculated.

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Figure 4.23 Plot of the EGIG Transect

4.1.3. Airborne measurements

Platform Instruments

OY-POF ASIRAS, DTU Space laser scanner

OY-POF will conduct overflights at T21 on 26 and 27 April 2011.

Overflights will be made from a base in Ilulissat. On the second flight day, the aircraft will continue across Greenland to Constable Point on the east coast.

4.1.4. In situ measurements

Platform Instruments

Ground-based equipment GPSNeutron probeVHB radarCorner reflector

UK1

The UK1 team (Morris) will move from Summit down to T21 via T41 (where a depot of food and fuel will be laid).

At points along the transect, the following measurements will be made:

density profiles at sites along an ASIRAS flight line to link in with the airborne radar data;

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density profiles over a range of densification conditions.

Figure 4.24 Intensive observation site with corner reflector in background (left)

UK2

The UK2 team (Nienow) will be uplifted to T21 in time for the OY-POF overflights. After exchanging equipment with UK1, they will travel towards T12 and then move up to Summit via T41 (where a depot of food and fuel will be laid).

At points along the transect, the following measurements will be made:

snow pits/cores (see Appendix 2);

VHB radar profiles.

On the transect between T21 and T12, surveys will be made at approximately 10km intervals, ensuring intersection with CryoSat-2 ground tracks.

4.1.5. Satellite data

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL

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4.1.6. Provisional schedules

20 April 2011 Ferry UK1 and density profiling equipment to Summit by C-130,Lay food and fuel depot for UK1 at T41 and Ferry UK2 and VHB radar to T21 by Twin Otter

22 April 2011 UK1 leave from Summit with density profiling equipment

26 & 27 April 2011 Overflights of OY-POF with ASIRAS at T21

6 May 2011 UK1 joins UK2 at T21; equipment exchange

UK2 (Santiago de la Peña) with VHB radar proceed to T12

6-9 May 2011 Lay depots at T41 and T21 andFerry UK1 from T21 by Twin Otter (OY-POF?)

15 May 2011 UK2 proceed to Summit with radar

24 May 2011 Ferry UK2 from Summit by C-130

Note that a travelling party cannot carry both the density profiling equipment and the VHB radar.

Travelling parties must be resupplied (petrol, food and cooking fuel) every ~200 km at depots laid in advance.

4.1.7. Participants

As in previous years, Liz Morris and Pete Nienow will continue to be involved.

Name Institution

Morris, Liz SPRI

Nienow, Pete University of Edinburgh

de la Peña, Santiago University of Edinburgh

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4.2. Austfonna, Svalbard

Proposal ID PI Institution

1277 Jon Ove HagenJack Kohler

University of OsloNorwegian Polar Institute

4.2.1. Validation purpose

Error sources to be addressed

1 2 3

Of the three established Norwegian Polar Institute (NPI) fieldwork sites in Svalbard, Austfonna (centred at 79.5°N, 25°E; elevation 0-800m a.s.l.) is the largest (8,200km2) and most suitable for CryoSat-2 validation activities.

The overall objective of the activity is to measure spatial variations in near-surface density, snow pack layering and snowfall fluctuations over the ice cap. The validation exercise will characterise retrieval errors due to:

temporal changes in snow surface caused by densification and snowfall;

complex topography that potentially affects the recovered elevation when the sensor is in interferometric mode.

CryoSat-2 data will be validated by obtaining accurate ground-based measurements of snowpack properties relevant to electromagnetic scattering and monitoring elevation changes due to snowfall fluctuations and snow/firn densification processes.

The priorities for activities in 2011 are:

1) to assess the accuracy of surface elevations derived from CryoSat-2 L2 data;

2) to assess the extent to which elevation changes in the ice reflect actual changes in ice mass;

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3) to assess the potential for CryoSat-2 data to be used for mapping snow accumulation over ice caps;

4) to relate CryoSat-2 waveforms to surface and near-surface conditions on the ice cap.

Continued measurements are required to maintain long-term thickness change experiments that were set up in 2004.

4.2.2. Overview of measurement activities

Measurements will be obtained along annual transects crossing Austfonna from west to east and from north to south, and additionally along two CryoSat-2 ground tracks. A detailed measurement program will also be carried out at the summit.

4.2.3. Airborne measurements

Platform Instruments

OY-POF ASIRAS, DTU Space laser scanner

OY-POF will arrive on Svalbard on 28 April 2011 for overflights on 29 April. The aircraft is due to leave Svalbard on 2 May 2011.

4.2.4. In situ measurements

Platform Instruments

Ground-based equipment Corner reflectorsNeutron probe (UK)DGPSGPR (800MHz)Automatic Weather Station (AWS)Thermistor stringsAblation stakes

In Spring 2011, GPS-profiles will be surveyed along the ground tracks of CryoSat-2 orbits 472 and 797 (see Figure 4.25). Ground-based radar (800MHz) will be used to measure snow thickness and facies data.

Density data will be derived from snow pits (see Appendix 2). If it is feasible to borrow (and transport) a spare neutron probe from the UK (located in Greenland in October 2010), this will be used to provide extra measurements.

Surface roughness may also be measured.

Measurement Technique Properties to be Measured

Static and kinematic DGPS Surface elevation validation, large scale surface roughness

500Mhz GPR along validation transects Snow thickness distribution, Density layer variation

Snow pits to previous summer surface, digital photography

Accumulation and near surface density validation, Snow density, grain size , grain type, layer identification,

Stakes along profiles Surface Mass balance (Summer, Winter, and net)

Corner reflectors ASIRAS and CryoSat-2 elevation calibration

Automatic weather station (AWS) Snow depth, solar radiation, wind speed, air temperature

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Temperature loggers Surface temperature/lapse rates

4.2.5. Satellite data

Transects across the ice cap will follow the intersecting ground tracks of two CryoSat-2 overpasses, for which data will be acquired (see Figure 4.25).

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL 472797

Figure 4.25 Predicted CryoSat-2 orbits over Austfonna Ice Cap and annual GPS/GPR survey lines (red)

4.2.6. Provisional schedules

Field work will take place during a period of at least 3 weeks, beginning at the end of April (earliest 26 April 2011).

4.2.7. Participants

Name Institution

Hagen, Jon Ove University of Oslo

Eiken, Trond University of Oslo

Schuler, Thomas University of Oslo

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Ims, Torbjørn University of Oslo

Tårand, Anna NPI

Farsstrøm, Sanja NPI

Gjerland, Audun NPI

The ground team will have Iridium Satellite telephones, numbers:

+8816 4144 5009

+8816 4144 5010

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4.3. Devon Island

Proposal ID PI Institution

1257 Michael DemuthDavid Burgess Geological Survey of Canada

1290 Martin Sharp University of Alberta

4.3.1. Validation purpose

Error sources to be addressed

1 2 3

The priorities for activities in 2011 are:

1) to assess the accuracy of surface elevations derived from CryoSat-2 L2 data;

2) to assess the potential for CryoSat-2 data to be used for mapping snow accumulation over ice caps across the Queen Elizabeth Islands;

3) to relate CryoSat-2 waveforms to surface and near-surface conditions on the ice cap.

Continued measurements along the original CryoSat cal/val transect (ASIRAS Line 623) are required to maintain long-term thickness change experiments that were set up in 2004.

4.3.2. Overview of measurement activities

Validation activities are concentrated on the Devon Ice Cap, which occupies the easternmost third of Devon Island. Primary field sites are situated at approximate elevations of 1,800m (site 1, percolation zone), 1,500m (site 2, firn zone), 1,200m (site 3, superimposed ice zone), and 650m (site 4, ablation zone). The main base camp is situated at site 1 (Summit Camp, 75.33988°N, 82.67631°W). The four

Devon Island

GREENLAND

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main study sites are located along the original North-South ASIRAS Line 623 validation transect/flight track that was established in 2004. Additional flight tracks are to include the East-West ASIRAS Line 450 (established in 2006) and the CryoSat-2 orbit paths predicted for 20 April and 1 May 2011 (see Figure 4.26).

For the verification of the ASIRAS signal along the Devon transect, accurate retrieval of Level 2 information, i.e. surface elevations and last summer surface (LSS), is required. In addition, end of winter snow pack variability will be quantified along the transect, in terms of thickness, density and mass.

GPR measurements are planned at the time of overflights.

Figure 4.26 Location of sites on the Devon Ice Cap

Note that there is an offset between the main transect (ASIRAS Line 623, based on reference orbit Track 12 of the original CryoSat mission) and CryoSat-2 ground tracks: since the main transect is well established with some permanent equipment, it cannot be moved and the closest CryoSat-2 overpasses, in time and space, during the period of the campaign, have been selected as a best compromise (see Figure 4.28). The 1 May overpass intersects the main transect close to site 1; the 20 April overpass is offset to the west of the main transect. Measurements that use portable equipment can be made along the CryoSat-2 ground tracks; however, those using permanently installed instruments will necessarily be made in their usual positions.

4.3.3. Airborne measurements

Platform Instruments

OY-POF ASIRAS, DTU Space laser scanner

N

EW

S

85O

80O

75O

70O

65O

85O

80O

75O

70O

65O

EllesmereIsland

*

Greenland

Arctic Ocean

Devon Island

Devon Ice Cap

-140O -120O -100O -80O -60O

-140O -120O -100O -80O -60O

Site 1 (1,800m)Summit Camp

Site 4 (650m)

Site 2 (1,400m)

ASIRAS Line 623

May 1, 2011 CryoSat-2 Predicted Orbit Path

ASIRAS Line 450

Site3 (1,000m)

April 20, 2011 CryoSat-2Predicted Orbit Path

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OY-POF will overfly Devon Island from a base at Thule. Overfights are scheduled for 4 May 2011, with a spare day in the flight schedule on 5 May.

In addition to the original CryoSat-2 transect (ASIRAS Line 623), an east-west line (ASIRAS Line 450) plus the 20 April and 1 May 2011 CryoSat-2 orbit paths will be flown.

Good communications between aircraft and ground crew are essential.

4.3.4. In situ measurements

Platform Instruments

Ground-based equipment Corner reflectorsStatic and kinematic DGPS1GHz and 500Mhz GPRCoffee cansKu-band ScatterometerAutomatic weather station (AWS)HOBO temperature loggers

A set of 3 corner reflectors will be located near site 1, at the intersection of the main transect and ASIRAS Line 450.

Latitude Longitude

Centre Corner Reflector 75.33809 -82.67739

Figure 4.27 Sun halo over Summit Camp, Devon Ice Cap, Nunavut

Measurement Technique Properties to be Measured

Static and kinematic DGPS Surface elevation validation, large scale surface roughness

1GHz and 500Mhz GPR along validation transect(s) Density layer variation; also calibrates dielectric modelling

Ku-band scatterometer Dielectric properties of the near surface firn

Coffee cans (Site 1) (see Appendix 2) Densification process at different levels of the snowpack

Snow trenches to previous summer surface and up to 20m in length

Accumulation and near surface density validation

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Digital (visible and IR) photography of snow pits and trenches Snow density, grain size , grain type, layer identification

Ice cores of 3m depth:

Bulk density and electromagnetic measurements

Visual stratigraphy and density profiles

Stakes in nested arrays and along profiles Surface Mass balance (Summer, Winter, and net)

Corner reflectors ASIRAS and CryoSat-2 elevation calibration

Automatic weather station (AWS) Snow depth, solar radiation, wind speed, air temperature

HOBO temperature loggers Surface temperature/lapse rates

To address priority 1, static GPS (with an accuracy of ±2cm in z) will be used for measurements at 1km intervals along transects, and to locate the summit corner reflector. Kinematic GPS (with an accuracy of ~±5cm in z) will be used along the entire length (50km) of the main transect and, at each of the 4 main study sites, in a 50m grid pattern over several areas slightly larger than the CryoSat-2 footprint (300×1000m).

To address priority 2, the team will make use of shallow cores (1-5m), snow pits (see Appendix 2) or snow depth measurements (with a probe), GPR (500MHz and 1GHz), infrared photography (to determine grain size, precise layer identification) and a Ku-band scatterometer (and/or FMCW).

Work on priority 3 requires knowledge of temporal and spatial variability in accumulation and meteorological conditions on the ice cap and how these will affect surface heights retrieved from CryoSat-2 data. To address this, the team will make use of automatic weather stations measuring snow depth, temperature, etc. (9 in total on Devon Island; 3 along the main transect), shallow cores (1-5m), snow pits or snow depth measurements (with a probe), GPR (500MHz and 1GHz), infrared photography (to determine grain size, precise layer identification) and a Ku-band scatterometer (and/or FMCW). Some validation measurements will be made along the northern extension of the transect (where maximum ASIRAS power returns were obtained in previous experiments).

4.3.5. Satellite data

A CryoSat-2 overpasses on 20 April and 1 May 2011 have been selected for use in the campaign (see Figure 4.28). The coordinates of the ground tracks are derived from ESA’s predicted orbit file: since these become more accurate closer to the actual date of the overpass, they will be updated at the end of March 2011.

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Figure 4.28 Predicted CryoSat-2 orbits over Devon Ice Cap, Nunavut, 4 April-25 May 2011

Satellite acquisitions from RADARSAT-2 (Fine Beam) and TerraSar-X (Tandem) have been requested for the approximate period of the CryoSat-2 and ASIRAS overflights. Spatial coverage of the auxiliary satellite data will include all three transects: ASIRAS Line 623 (original validation transect) and the 20 April and 1 May CryoSat-2 predicted orbit paths.

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL 20 April 20111 May 2011

RADARSAT-2 Fine Beam early May 2011

TerraSAR-X Tandem early May 2011

4.3.6. Provisional schedules

15 April 2011 Uplift from Resolute onto Devon Ice Cap

4/5 May 2011 OY-POF Overflights with ASIRAS/Laser scanner

27 May 2011 Uplift from Devon to Resolute

4.3.7. Participants

Name Institution

Demuth, Michael Geological Survey of Canada

Burgess, Dave Geological Survey of Canada

van Wychen, Wes Geological Survey of Canada

de Jong, Tyler University of Ottawa

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Sharp, Martin University of Alberta

Danielson, Brad University of Alberta

Tremaine, Terry University of Alberta

Gascon, Gabrielle University of Alberta

Geai, Marie-Laure University of Alberta

The ground team will have Iridium Satellite telephones; phone numbers will be relayed to the flight crew when available.

Contact at Resolute Bay – Polar Continental Shelf Project (PCSP):

Mike Kristjanson, tel: 867 252 3872HF: SSB 4472.5 kHz Call Sign ‘26Resolute’VHF: AM Airband 122.90 MHz (122.10 standby)

High-level data analysis will be funded by CSA through a PhD or equivalent in radar remote sensing, beginning by 1 April 1 2011 at the latest.

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5. SEA ICE ACTIVITIES

5.1. Alert/Canadian Arctic

Proposal ID PI Institution

1241 Christian Haas University of Alberta

5.1.1. Validation purpose

Error sources to be addressed

5 6 7 8

The objective of the activity is to address the following uncertainties:

ice thickness distribution / surface roughness;

error covariance;

isostasy;

snow penetration;

preferential sampling.

The Canadian Arctic Sea Ice Mass Balance Observatory (CASIMBO) is a long-term measurement programme carried forward by the University of Alberta in continuation of earlier activities in the framework of the European/ESA Greenice and CryoVEx projects. It involves systematic, large-scale in-situ and airborne snow and ice measurements which will provide important input for CryoSat-2 validation.

CryoVEx activities address the different components of the sea ice thickness profile, i.e. ice thickness, snow thickness, ice freeboard, and snow surface elevation, which are sensed differently by the different sensors. EM sounding is the only method that obtains direct ice thickness estimates, and therefore is essential for the validation of CryoSat-2 thickness retrievals, which are derived from freeboard measurements and assumptions of the isostatic balance, for which the densities of snow and ice need to be known. However, obtained thicknesses represent total sea ice thickness, i.e. ice plus snow thickness. Therefore, differences between EM and CryoSat-2 thickness retrievals are expected and will be resolved by additional snow thickness measurements using the combination of airborne laser and radar altimetry, ground penetrating radar, and in-situ snow thickness profiling.

ASIRAS will be used to validate CryoSat-2 freeboard measurements, and to address questions about the origin of the radar returns, which may result from a scattering level above the snow-ice interface. Analysis of ASIRAS/ALS/EM co-variance will provide information on penetration and, if differences are observed, can also point to density differences or errors in the ASIRAS retracking or datation.

Corner reflectors are a key tool, both as a vertical reference and also to identify datation errors. It is essential that in-situ data is collected carefully in their vicinity to properly relate corner reflector return waveforms to the properties of the surrounding snow.

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5.1.2. Overview of measurement activities

A number of validation sites will be established along a suitable CryoSat-2 ground track across various multiyear and first-year ice regimes with strong regional thickness gradients. These sites will be equipped with corner reflectors and paired GPS beacons. Their exact location will be determined by available opportunities to safely land a Twin Otter aircraft, but should be within ~1km of the satellite ground track if possible. In any case, selected sites should be representative of ice conditions at the closest point on the ground track and in the wider region and cover a range of sea ice thicknesses (including multi- and first-year ice).

Over a 7-day period, the validation sites will be revisited by ground teams to conduct intensive in-situ measurements of snow and ice properties coincident with aircraft overflights (and at some point the CryoSat-2 overpass). Measurements should be made only in temperatures much lower than -10°C.

Permission is required to conduct research in Nunavut Territory: this will be obtained by the University of Alberta and Environment Canada.

5.1.3. Airborne measurements

Platform Instruments

Polar 5 EM Bird, ALS, nadir video & photography

OY-POF ASIRAS, DTU Space laser scanner

Kenn Borek Twin Otter (field teams and ground-based equipment)

OY-POF will be present in Alert from 13 to 19 April 2011.

‘Polar 5’ will be present in Alert from 10 to 19 April 2011 and will conduct 6-10 measurement flights.

The ‘Polar 5’ aircraft carrying an EM Bird and an Airborne Laser Scanner will make flights over the sea ice directly from Alert. Possibilities of using NP38, a Russian drifting station in the Arctic Ocean north-north-west of Alert, as a staging post for refuelling (see Figure 5.29) will be examined; however, this depends on the exact location of the station at the time of the campaign (likely to be out of range given the deployment position of 76°N 177°W in October 2010 and typical ice drift speeds) and whether it is serviceable (i.e. ice landing strip in a safe condition). A transfer flight to NP38 could be conducted from Sachs Harbour on Banks Island, earlier in ‘Polar 5’’s Spring 2011 schedule, if this was more appropriate.

Flight operations will be planned according to the following priorities:

1. 2-3 simultaneous flights of ‘Polar 5’ and OY-POF, coincident with CryoSat-2 overpasses;

2. short local flights around Alert.

Deviations of ≤1km will be made from the CryoSat-2 track to fly directly over validation sites, where these are offset due to ground team landing requirements.

Tim Pearson, 09/12/10,
MD: Add detail on provision of fuel for all 3 aircraft
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Figure 5.29 Proposed ‘Polar 5’ flight lines from Alertcovering the strong thickness gradients across different ice regimes between Canada and the North

Pole; flight lines will be adjusted to match CryoSat overpasses; background shows example of Ku-band backscatter observed by QuikScat in April 2009 (red: high, multiyear ice; green/blue: low,

first-year ice)

5.1.4. In situ measurements

Platform Instruments

Ground-based equipment Corner reflectorsGPS beaconsSnow radarGround EMRotating laserThermistor stringSnow depth measurerSnow density kitDrilling equipment

A ground team of six people will fly in the Kenn Borek Twin Otter to validation sites previously identified and marked with corner reflectors and paired GPS beacons. The following measurements will be made at each site, time permitting:

Line survey- 10m intervals

snow depthsnow density (if practical)air/snow/ice temperatureground EMsnow freeboard measured by rotating laser

Line survey- 100m intervals

snow radar survey (depends on ease of pulling it along the line)snow pits (see Appendix 2)drill holes (ice thickness/freeboard/draft)

Lead survey freeboard measurements next to leads

Grid survey snow depth at each grid point

Tim Pearson, 09/12/10,
MD: Add technical detail
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-15×15m around corner reflector (i.e. ASIRAS across track footprint*), ½-1m spacing (depending on time)

~5 snow pits at selected locations in gridsnow radar surveys at snow pitsrotating laser measurements over grid areathermistor string

*N.B. This assumes that ASIRAS overflies the corner reflector; the aircraft GPS and the buoy GPS need to be cross-calibrated so that the area closest to the corner reflector, sampled by ASIRAS, can be surveyed.

Figure 5.30 In-situ ice and snow thickness / properties measurement

5.1.5. Satellite data

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL

Envisat ASAR WSMAP HH/HV

5.1.6. Provisional schedules

Aircraft operations from Alert are constrained to the period 10-19 April, for which special permission has been obtained to access the airfield during the annual Operation Boxtop.

On each visit to a validation site, in situ measurements will follow a fixed routine, commencing after the associated ASIRAS overflight. For a team of six scientists, this will be as follows:

Hour Grid Survey Line Survey Left Line Survey Right Other

1 4 pax set up grid

2 pax set up line one side of CR, tape for 500m, flags every 100m (carry EM and snow depth measurer)

2

1 pax rotating laser

1 pax snow depth (help with snow radar when finished)

2 pax snow radar and snow pits

2 pax walk back to CR, measuring SD and EM every 10m

Tim Pearson, 09/12/10,
MD: more on schedule?
Tim Pearson, 09/12/10,
MD: more on auxiliary measurements
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3 1-2 pax finish snow pits

2-3 pax snow radar every 100m

2 pax set up line other side of CR, tape for 500m, flags every 100m (carry EM and snow depth measurer)

41-2 pax snow pits/bulk density/temperature/ drilling

2 pax walk back to CR, measuring SD and EM every 10m

2-3 pax snow radar every 100m

54-5 pax snow pits/bulk density/temperature/ drilling

1-2 pax on lead survey, collecting equipment etc.

5.1.7. Participants

Name Institution

Haas, Christian University of Alberta

Laxon, Seymour University College London

Giles, Katherine University College London

Hendricks, Stefan AWI

Beckers, Justin University of Alberta

Tim Pearson, 09/12/10,
MD: more on contact details
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5.2. Fram Strait

Proposal ID PI Institution

4513 Sebastian Gerland Norwegian Polar Institute

5.2.1. Validation purpose

Error sources to be addressed

5 6 7 8

In this activity, CryoSat-2 ice thickness data will be compared to the long-term measurement of ice draft. Long-term measurement of snow and ice conditions will allow temporal changes in radar scattering to be examined. Measurement during intensive field campaigns will focus on the determination of sub-footprint scale variability of thickness and direct comparison of laser, electromagnetic (EM) and in situ data with respect to CryoSat-2 data.

The main goals of the activity are:

contributions to sea ice thickness cal/val with in situ measurements over both multi-year ice and seasonal ice;

quantification of the role of snow and ice properties (spring and autumn);

assessment of regional spatial gradients, and inter-annual variability versus trends.

The work proposed is organised under several projects: EU Damocles, NFR IPY iAOOS Norway, Norwegian-Russian collaboration on sea ice drifting stations, NPI long-term fast ice monitoring Kongsfjorden (Svalbard) and NPI long-term multiyear sea ice monitoring Fram Strait.

5.2.2. Overview of measurement activities

The main research area for the activity is north and northwest of Svalbard (‘Fram Strait’ is perhaps a misnomer, derived from earlier versions of the CryoSat Validation Plan). Central to the sea ice physics work are two long ice drifting stations. The continuous observations on those stations will be supplemented by short ice stations/helicopter stations to extend the datasets temporally and spatially. A key issue for sea ice physics is to observe changes on multiyear ice with high temporal resolution over a longer time period than is possible during conventional ship expedition ice stations of less than 1-day duration.

The most relevant experiments contributing to CryoVEx 2011 are:

detailed in situ snow properties surveys (especially snow density and snow thickness);

detailed sea ice thickness surveys.

From 26 April to 16 May 2011, the RV Lance will conduct an interdisciplinary cruise north of Svalbard to make transect(s) across the marginal ice zone and the ice shelf edge and conduct ice stations.

Ice thickness surveys will be conducted along CryoSat-2 orbit lines over different ice types (FYI, MYI, refrozen leads) using a HEM Bird and a ground-based EM instrument. Note that transects must be of sufficient length for comparison with CryoSat-2 data; alternatively, an area 3×30km could be characterised over a prolonged time period (~1 month).

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OY-POF and ‘Polar 5’ will perform longer overflights during their respective tours of the Arctic.

A tethered AUV could be deployed from the ship at ice stations.

In a collaboration between NPI and the University of Tromsø, high resolution SAR satellite calibration and validation studies will also be undertaken.

Figure 5.31 Location of CryoVEx 2011 activities in the Fram Strait

5.2.3. Airborne measurements

Platform Instruments

Helicopter EM Bird

OY-POF ASIRAS, DTU Space laser scanner

Polar 5 EM Bird, ALS, nadir video & photography

OY-POF will rendezvous with RV Lance from Svalbard on 30 April 2011 and conduct overflights along CryoSat-2 ground tracks.

‘Polar 5’ will be operating from Longyearbyen from 29 April to 4 May 2011 and will conduct 4-6 measurement flights during this period.

Ice thickness surveys with EM from a ship-based helicopter are planned along CryoSat-2 ground tracks.

5.2.4. In situ measurements

Platform Instruments

Drifting ice stations EM31GPS

RV Lance IceCamAUV

Ice stations will be conducted, with in situ work carried out in parallel with airborne measurements. The following measurements are planned.

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Snow and ice density: Snow and ice density are highly relevant for the determination of the hydrostatic stage of the ice floe. Densities will be measured daily in snow pits (see Appendix 2) and from ice cores. Hourly snow density will be measured in high temporal resolution experiments. Snow densities are measured in snow pits with a half-litre tube and a spring balance. Ice density is measured daily by weighing 7cm core pieces.

Snow and ice thickness: These data will be collected along lines with classic methods (drilling, stake sounding and freeboard measurement) and with ground electromagnetics (EM31). For the long drifting stations, a fixed grid pattern will be revisited daily. The grid will be ideally a 200×200m with lines along the edges and two lines crossing through the centre. The entire grid will be measured with EM and snow stakes every 5m, and some 10 drillings will be applied at selected level ice positions with different thicknesses in order to calibrate the electromagnetics. Readings will be taken at long stakes every 10m along a separate 50m line, from above and below (AUV/divers) at least twice during the drift of a long station.

Ice observations: Regular ice observations from the ship’s bridge are planned every 3 hours, using NPI’s ice observation scheme. Photographs will be taken in 3 directions (port, starboard, ahead). RV Lance has an IceCam permanently installed.

Jari Haapala (FMI, see §5.3) could contribute to this activity by making detailed snow and ice density measurements and providing an EM31 instrument and five beacons for tracking of ice motion.

5.2.5. Satellite data

Acquisition of high resolution SAR products from Radarsat and Envisat is anticipated under related projects in which NPI is already involved. Some ice ground truth data will be made available in exchange for these products, which will be used to extend local findings spatially around ice stations and to quantify ice drift. Products from satellites with visible sensors (AVHRR, MODIS) will be used for albedo parameterisation work ongoing at NPI.

In addition, Envisat ASAR WSM images in VV polarisation are required.

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL

Envisat ASAR WSM (VV)

Radarsat

5.2.6. Provisional schedules

From 26 April to 16 May 2011, the RV Lance will conduct an interdisciplinary cruise north of Svalbard to make transect(s) across the marginal ice zone and the ice shelf edge.

Annual cruises to the Fram Strait in September are also planned for several years to come. Additional cal/val experiments based on Svalbard could be arranged (at Kongsfjorden or Storfjorden) or linked to the planned process studies and monitoring work.

5.2.7. Participants

Name Institution

Gerland, Sebastian NPI

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Brandt, Ola NPI

Granskog, Mats NPI

Goodwin, Harvey NPI

Hansen, Edmond NPI

Renner, Angelika NPI

Tronstad, Stein NPI

Haapala, Jari Finnish Meteorological Institute

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5.3. Baltic Sea

Proposal ID PI Institution

1244 Jari Haapala Finnish Meteorological Institute

5.3.1. Validation purpose

Error sources to be addressed

5 6 7 8

In this activity, CryoSat-2 ice thickness data will be compared to the long-term measurement of ice draft. Long-term measurement of snow and ice conditions will allow temporal changes in radar scattering to be examined. Measurement during intensive field campaigns will focus on the determination of sub-footprint scale variability of thickness and direct comparison of laser, electromagnetic (EM) and in situ data with respect to CryoSat-2 data.

The objectives of the activity are:

to validate CryoSat-2-derived elevation along satellite swaths;

to determine the effect of seasonal variation of snow/ice on the radar echo;

to relate waveforms to sub-footprint scale ice thickness variability;

to relate waveforms to ice types;

to develop an advanced sea-ice thickness retrieval algorithm.

5.3.2. Overview of measurement activities

Work will be carried out in the context of the SafeWin field campaign during February and March 2011.Intensive field measurements will be undertaken in the Northeast sector of the Gulf of Bothnia (Baltic Sea). The target region should include a mixture of ice types with different ages.

Measurements, some of which could be made along CryoSat-2 swaths, will include:

sea ice/snow field measurements (freeboard, thickness, density);

complementary observations (water level, other satellite-derived parameters);

seasonal ice/snow monitoring in the fast ice region.

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Figure 5.32 Schematic of Baltic Sea experiment design

5.3.3. Airborne measurements

Platform Instruments

Helicopter EM Bird

The University of Alberta will conduct EM Bird measurements during the field campaign to determine large-scale ice thickness. The EM Bird system also includes a laser altimeter for freeboard measurements.

5.3.4. In situ measurements

Platform Instruments

Ground-based equipment Ice coring auger and other ice and snow physics measurement instrumentsRidge drilling setEM31Rotating laser

Measurements will be made to determine the following:

snow thickness and density;

sea ice thickness, freeboard and density;

ridge properties (porosity, snow).

These measurements will be conducted as described in §5.1.4.

Long-term monitoring station

Two-weekdrifting ice station

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5.3.5. Satellite data

Figure 5.33 Predicted CryoSat-2 orbits over the Bay of Bothniain January (green), February (blue) and March (red) 2011

ASAR images will be acquired to determine large scale sea ice characteristics.

Satellite Instrument Mode Track Date

CryoSat-2 SIRAL

Envisat ASAR

5.3.6. Provisional schedules

Ice and snow monitoring operations will extend from December 2009 to May 2012. Work will be carried out in the context of the SafeWin field campaign during February and March 2011.

5.3.7. Participants

Name Institution

Haapala, Jari Finnish Meteorological Institute

Heiler, István Finnish Meteorological Institute

Lensu, Mikko Finnish Meteorological Institute

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6. CRYOSAT-2 DATA ACCESS

6.1. CroSat-2 products

SIRAL Data Product Main Characteristics Data Volume

L1b Full Bit Rate (FBR)Time-ordered, raw data consisting of complex individual echoes prior to the application of synthetic aperture, interferometric or accumulation processing.

50 Gbytes/day

L1b Multi looked Wave Form data

Multi-looked echoes.

Waveform power data are averaged. SARIn data contains multi-looked phase.

Full engineering and geophysical corrections applied.

2.5 Gbytes/day

Level 2 GDR

Consolidated products on orbit basis (GDR) containing LRM, SAR and SARIn.

These are time-ordered elevation values (of ice, ocean or land) and, in the case of sea ice, ice thickness.

60 Mbytes/day

Level 2 FDM Fast Delivery Ocean for oceanographic and meteorologist use. 35 Mbytes/day

Table 6.7 Overview of CryoSat-2 products

6.2. Payload Data Ground Segment (PDGS)

The Payload Data Segment (PDS) will be located in Kiruna Salmijärvi. The PDS is in charge of science data ingestion from the FOS acquisition system and of level 0 and higher level products generation, archiving and distribution. Distribution activities comprise automatic distribution, systematic distribution and special distribution commands.

The Long-term Archiving (LTA) will be located in Toulouse (CNES). The LTA is in charge of archiving all the CryoSat-2 data, received from the PDS and locally generated through re-processing, for up to 10 years after the start of routine operations, and to generate corresponding metadata and forward it to the Master Catalogue. It also allows on-request distribution of archived high level products to users.

The User Services (including MURM) will be located in ESRIN. The User Services allow users to access and visualise information on the CryoSat-2 archived products through a catalogue function. The MURM’s main role is collecting and managing all the requirements for CryoSat-2 data acquisition and dissemination and presenting them in a Gantt chart or as a projection on a geographical map, the various timelines corresponding to satellite or ground segment activity.

6.3. Data access for cal/val users

Cal/val users will have access to FBR data, other L1b data, L2 data and auxiliary data. Registration is via submission of a proposal to the EOPI Portal, which also serves as the principal point of contact between ESA and users throughout the course of the project (including regular report submission).

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Following acceptance of a proposal, users will be automatically registered with User Services and the PDS, allowing automatic data delivery and the possibility to make specific data requests using the EOLi-SA catalogue browser.

Figure 6.34 Data distribution mechanisms for CryoSat-2 cal/val users

Figure 6.35 Screenshot of the EOLi-SA catalogue browser

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6.4. CUT

The CryoSat User Tool (CUT) will enable visualisation of CryoSat-2 products on a world map and interrogation of product headers. It will also calculate and plot the footprint of CryoSat-2 products, for planning or data ordering purposes.

The software also acts as an FTP client for accessing CryoSat products on remote servers.

The software will be available from Earthnet Online (earth.esa.int).

Figure 6.36 CUT interface

6.5. Timescale

Data will be distributed to cal/val users 2-3 months after satellite launch, once SC/GS verification is completed. Level 2 products will be verified but not fully validated.

During the Science Phase, requested products will be distributed to cal/val users in near-real time (NRT) using on-board orbit localisation. When precise orbit data is available (after 30 days), routine processing will take place at the PDS and products will be distributed to all users. New processing algorithms will be developed after approximately 2 years so that the entire archive can be reprocessed in the LTA and made available to all users.

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7. CONTACTS

7.1. PIs

Name Institution email

Burgess, Dave Geological Survey of Canada [email protected]

Demuth, Michael Geological Survey of Canada [email protected]

Gerland, Sebastian NPI [email protected]

Haapala, Jari Finnish Meteorological Institute [email protected]

Haas, Christian University of Alberta [email protected]

Hagen, Jon Ove University of Oslo [email protected]

Kohler, Jack NPI [email protected]

Morris, Liz SPRI [email protected]

Nienow, Pete University of Glasgow [email protected]

Sharp, Martin University of Alberta [email protected]

7.2. Aircraft operators

Name Institution email

Forsberg, Rene DTU Space [email protected]

Hendricks, Stefan AWI [email protected]

7.3. Participants

Name Institution email

Beckers, Justin University of Alberta

Brandt, Ola NPI

Danielson, Brad University of Alberta

de Jong, Tyler University of Ottawa

de la Peña, Santiago University of Edinburgh

Doble, Martin Laboratoire d'Oceanographie de Villefranche

Eiken, Trond University of Oslo [email protected]

Farsstrøm, Sanja NPI

Gascon, Gabrielle University of Alberta

Geai, Marie-Laure University of Alberta

Giles, Katherine University College London

Gjerland, Audun NPI

Goodwin, Harvey NPI [email protected]

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Name Institution email

Granskog, Mats NPI

Hansen, Edmond NPI [email protected]

Heiler, István FMI

Helm, Veit AWI [email protected]

Herber, Andreas AWI [email protected]

Ims, Torbjørn University of Oslo

Krabill, William NASA [email protected]

Laxon, Seymour University College London [email protected]

Lensu, Mikko Finnish Meteorological Institute

McAdoo, David NOAA/NESDIS/ORA Lab for Satellite Altimetry

[email protected]

Renner, Angelika NPI [email protected]

Skourup, Henriette DTU Space [email protected]

Schuler, Thomas University of Oslo [email protected]

Steinhage, Daniel AWI [email protected]

Studinger, Michael NASA [email protected]

Tårand, Anna NPI

Tremaine, Terry University of Alberta

Tronstad, Stein NPI [email protected]

van Wychen, Wes Geological Survey of Canada

Cullen, Rob ESA-ESTEC [email protected]

Francis, Richard ESA-ESTEC [email protected]

Parrinello, Tommaso ESA-ESRIN [email protected]

Pearson, Tim RSAC [email protected]

Wooding, Mike RSAC [email protected]

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Appendix 1 Co-located observations over sea ice

When obtaining co-located measurements over sea ice, the problem of sea ice drift, at rates of between 3 and 30cms-1 (i.e. up to 1km/h or 0.5 knots) must be addressed. The issue is that a straight flight track, of a satellite or an aircraft, traces an oblique path across the sea ice surface if it moves in a non-parallel direction below. For co-located observations from platforms moving at different speeds, use of identical headings would result in swaths of data across the sea ice surface with different orientations.

Two alternative methods have been identified to ensure that airborne sensors and CryoSat-2 instruments observe the same swath of sea ice:

compute flight track headings as vectors that compensate for sea ice drift and the difference in velocity between the aircraft and satellite (see Figure 7.37);

obtain a comprehensive set of observations, distributed in time and space, to be compared to spatially and temporally averaged CryoSat-2 measurements.

The feasibility of the second alternative is not in doubt, but is more demanding of resources than the first. The current baseline for the sea ice validation activities is therefore the first alternative; however, for this approach to be successful a number of conditions must be fulfilled:

1. the sea ice velocity must be uniform and constant in the sampled region during the measurement period;

2. the sea ice velocity must be predicted sufficiently in advance to compute flight tracks;

3. the starting point must lie on the CryoSat-2 ground track on the sea ice;

4. it must be logistically possible to plan flights and assemble the airborne platforms at the starting point;

5. the airborne platforms must fly with the planned heading and speed.

Figure 7.37 Effect of sea ice drift on acquisition of co-located observations

sea ice drift

CryoSat track

required aircraft

heading

resultant path on sea ice surface

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Appendix 2Ground-based measurement methodologies

1. Snow pits

Snow pack measurements should be undertaken in snow pits dug to at least 1m deep or down to the previous year’s layer. Snow layering in the snow pit walls should be mapped and samples taken to determine snow density, grain size and temperature. Samples should also be taken for chemical analysis to identify the presence of salts which might affect the dielectric properties of the surface.

The protocol for snow pit measurements is as follows:

1. The snow pit should be orientated so that the snow facies to be analysed is on the pit wall facing north (i.e. on the south side of the snow pit, to avoid direct illumination by the sun).

2. The pit should be dug at least to the firn layer (ie. snow surviving from the end of the previous ‘mass-balance year’) or to a depth of 1m – whichever is greater. The ‘pit face’ should be at least 1m across.

3. The ‘pit face’ must be cleaned (flattened) with a shovel (or snow saw) and then brushed using a brush with plastic bristles (a normal brush is ok if no water chemistry analyses will be performed) to reveal the individual stratigraphic layers.

4. The depth within the snow pack of each snow layer, and its thickness, should be measured using a tape measure or ruler at the mid-point of the ‘pit face’.

5. Each layer should then be tested for the following:

Crystal size/structure: a few snow crystals are sprinkled onto a water-proofed sheet of millimetre-scale graph paper and observed through a ×10 hand lens. The mean crystal size and type are recorded (LaChapelle’s “Field Guide to Snow Crystals” (1992), available from IGS, Cambridge is very good).

Density: using a tube of known length and diameter, a horizontal core of snow is withdrawn from each layer (avoiding compaction of the snow during the extraction) and weighed in a bag of known weight (either by spring balance or with another form of scale). The density is computed from the values of snow mass and volume. Larger tubes clearly provide a better average of the snow density; however, small tubes are necessary for measuring thin snow layers.

Hardness: the hardness of each layer should be tested by hand. The standard procedure is to gently push the following objects (in order) into each snow facies with a penetration force of about 50N and record when the snow layer fails (i.e. when an impression is made on the snow surface).1

- Clenched fist

- 4 fingers

- 1 finger

- Pen (i.e. ~0.5cm diameter)

- Knife

1 ICSI International Snow Classification Manual, http://www.crrel.usace.army.mil/techpub/CRREL_Reports/reports/Seasonal_Snow.pdf

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Other observations: evidence of any dirt layers (windblown dust) or other distinctive physical characteristics should be recorded. In particular, the presence of ice lenses across the pit face should be noted and their total area relative to the snow face estimated. If there is any free water present in the snow pack (e.g. moist/saturated), this should also be noted.

6. At the end of sampling, it is advisable to check that information on all layers has been recorded, and particularly that the sum of layer thicknesses is equal to the total pit depth.

2. Coffee-can technique

The ‘coffee-can’ technique (Hamilton and Whillans, 2000) is used to make independent measurements of surface elevation change. It involves determining the difference between the long-term mean mass balance at each measurement site and the vertical velocity of markers embedded in the ice or firn. In the accumulation area, the long-term mean accumulation rate will be determined using shallow ice coring techniques. A 20m deep borehole is drilled and the density profile of the ice core measured. In situ 137Cs gamma spectrometry will be used to detect the depth of the 1963 ‘bomb layer’ in the borehole, allowing a mean accumulation rate since 1963 to be determined. This information will be supplemented by conducting Neutron Probe density profiling in the same hole. The accumulation velocity at each site is defined as the accumulation rate (Mgm-2a-1) divided by the density of the firn/ice at the level of the marker (Mgm-3).

To determine the vertical ice velocity at each site, 4 additional boreholes, respectively 4m, 8m, 12m and 16m deep, are drilled at each site. Density profiles are measured at each borehole. A steel marker attached to a non-stretchable steel cable is heated at the surface and lowered to the base of each borehole where it freezes into the ice. The upper end of the cable passes out through a section of pipe installed in the top of each hole. The pipe keeps the cable clear of snow accumulation and acts as a mount for a GPS antenna. With the cable under constant tension, the height of an annulus attached to the cable is determined relative to the pipe top on each visit. This allows calculation of the vertical velocity of the marker relative to the pipe top. The motion of the pipes is determined on each visit using precision differential GPS techniques. From these GPS measurements, the component of vertical velocity due to downslope flow can be determined (as the product of the horizontal velocity and the slope in the direction of flow). The net rate of ice thickness change at each site is equal to the sum of the accumulation velocity, the vertical velocity of the marker, and the downslope component of vertical velocity. The technique is reliable as long as the slope of the best-fit line to a plot of marker vertical velocity against the inverse of density for each site is approximately equal to the negative of the inverse of the accumulation rate at the site (Hamilton and Whillans, 2000).

The 'coffee-can' technique described above provides a direct means of measuring rates of densification at sites in the accumulation area, and their seasonal and inter-annual variability. If the vertical density profile in each borehole and the vertical velocity of each marker are known, then the vertical ice flux at the level of each marker can be calculated. The change in ice mass in the depth increment between markers is defined by the vertical divergence of ice flux between measurements taken at times t1 and t2. At t1, the mean density and mass of ice in a 1m2 column of ice separating 2 markers can be calculated from the density profile. Assuming no horizontal divergence, the ice mass in the column at t2 is equal to the sum of the mass at t1 and the change in mass over the measurement interval. If the two markers have different vertical velocities, the volume of the ice column separating the 2 markers changes over the measurement period. The mean density at t2 is then calculated as the mass of ice in the column at t2

divided by the volume of the column at t2. The rate of densification is the change in density divided by the period of measurement. The proposed experimental design provides some insight into the magnitude of short-term fluctuations in the rate of densification.

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Figure 7.38 Typical coffee-can arrangement