EUMETSAT GPRC Report

GSICS Exec Panel-122012-05-30

EUMETSAT GPRC Report

Slide: 1

Tim Hewison, Marianne Koenig, Sebastien Wagner, Rob Roebeling, Peter Miu, Jörg Schulz, Harald Rothfuss EUMETSAT


Overview

• Satellite Status

• GEO-LEO IR Products for current Meteosats using IASI

• GEO Solar-band Channels for current Meteosats

• Re-calibration of Meteosat archive data

• Other

Slide: 2


EUMETSAT space segment – current planning

00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40YEAR...

METEOSAT FIRST GENERATION

METEOSAT-6

METEOSAT-7

METEOSAT SECOND GENERATION

METEOSAT-8

METEOSAT-9

METEOSAT-10

METEOSAT-11

METEOSAT THIRD GENERATION

MTG-l-1

MTG-S-1

MTG-l-2

MTG-l-3

MTG-S-2

MTG-l-4

EUMETSAT POLAR SYSTEM (EPS)

METOP-A

METOP-B

METOP-C

EPS SECOND GENERATION

OCEAN SURFACE TOPOGRAPHY MISSION

JASON-2

JASON-3

JASON CONTINUITY OF SERVICES (CS)

THIRD-PARTY PROGRAMMES

GMES SENTINEL-3

GMES SENTINEL-4 ON MTG

GMES SENTINEL-5 ON EPS SECOND GENERATION

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Operations – Satellites Status

Operational status of the geostationary and LEO systems is stable:

– Meteosat-7 at 57.5° E is servicing the IODC (Indian Ocean Data Coverage) Mission

– Meteosat-8 (MSG-1) is located to 9.5° East and performs the operational rapid scanning service.

– Meteosat-9 (MSG-2) provides primary service at 0°.– Metop A Low Earth Polar Orbit System performance is

stable and all instruments are in an operational state. – Jason 2 Low Earth Inclined Orbit System service for Near

Real Time products has confirmed to be stable.

Slide: 4

MSG-3 and


Summary of planned Launches

2012-06-19 MSG-3

2012-07 Metop-B

2013: GMES Sentinel 3 A (ESA)

2014: Jason 3

2015: MSG-4

2016-2017: Metop-C

2017: GMES Sentinel 3B (ESA)

2018: 1st MTG-I

2017: 1st Jason CS (after Jason 3)

2019: 1st MTG-S (with GMES Sentinel 4 Instrument)

2019: 1st EPS-SG Satellite ready for launch (VII, IRS, MWS, S5, etc)

2021: 2nd EPS-SG Satellite mission ready for launch (ASCAT, MWI)

2022: 2nd MTG-I

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Operational Support for Forthcoming Launches

• Support commissioning of Meteosat-10 (MSG3)• by running prototype inter-calibration wrt Metop-A/IASI• Validate potential variations to official SRF• Perform SEVIRI Solar Channel Calibration & analyse

• Monitor Metop-A/IASI and Metop-B/IASI • by double-differencing against Meteosat/SEVIRI• also applicable to Metop-A/HIRS and Metop-B/HIRS

• Starting planning inter-calibration activities for Sentinel-3• SLSTR – Sea and Land Surface Temperature Radiometer• OLCI - Ocean and Land Colour Instrument

Slide: 6


Sentinel-3: Continuity of ENVISAT Ocean Observation

Launch Expected end 2013Operated by EUMETSAT for GMES (EU programme)

EUMETSAT plan inter-comparison activities: cal/val, performance monitoring, inter-calibrationfollowing GSICS principles and methodologies

• SLSTR IR: • IR comparison with IASI • Currently studying SNO v Statistical

method• NWP also possible

• OCLI + SLSTR Solar:• Compare with LEO instruments

(MODIS, VIIRS, …)• Combination of invariant targets• and Direct ray-matching methods• Also compare with GEOs

– potential reference instruments!

Sea and Land Surface

Temperature Radiometer

Ocean and Land Colour

Instrument

Microwave Radiometer

SAR Radar Altimeter

X-band Antenna

DORIS Antenna

S-band Antenna

Laser retro-

reflector

GPS

Slide courtesy of Craig Donlon (ESA)


Overview





• Other

Slide: 8


GSICS Activities at EUMETSAT

• GEO-LEO IR Products for current Meteosats using IASI:• GSICS Corrections – revised netCDF convention• GSICS Bias Monitoring – Developing new web-based Tool• Uncertainty Analysis – manuscript submitted for special issue• Ice Contamination – manuscript submitted for special issue

• GEO Solar-band Channels for current Meteosats:• Review of SEVIRI Solar Channel Calibration System• Implementation of GSICS DCC inter-calibration v MODIS• Development of Lunar Calibration method

• Evaluating methods to re-calibrate Meteosat archive data:• Using multiple NOAA/Metop/HIRS as reference

• Instrument Event Logs – covered under agenda item 8.2


IR Products for current Meteosats using IASI

• GSICS Corrections• Near-Real-Time and Re-Analysis Corrections updated daily since

2008• Published in netCDF format on GSICS Data and Products Server• Now in Demonstration mode, based on prototype code• Pre-Operational candidate, based on Operational code

– but unresolved differences• GSICS Bias Monitoring

• Prototype static plots published on web pages since 2008• Developed interactive tool to generate plots directly from

netCDF files• Uncertainty Analysis

• Published for each Correction• Ice Contamination Model

• Developed to explain trend in bias of IR13.4 channel


Example of New Bias Monitoring ToolReads data directly in netCDF format from GSICS Servers

EUMETSAT Development Prototype: http://10.11.15.74/GSICSCalPlotter/

http://10.11.15.74/GSICSCalPlotter/


Overview





• Other

Slide: 14


Meteosat Solar Band Calibration Activities

Inter-calibration with MODIS using Deep Convective Clouds Implementation of the GSICS ATBD (Doelling, 2011)

Vicarious calibration using desert targets + sea targets (current official calibration) SEVIRI Solar Channel Calibration System (presented in Daejeon, 2011)

METEOSAT imagers

- MVIRI (Meteosat First Generation)- SEVIRI (Meteosat Second

Generation)- FCI (Meteosat Third Generation)

Lunar Calibration Collaboration with USGS

Preparation to MSG3 launch + reprocessing activities


SEVIRI Solar Channel Calibration System

-5

0

5

10

15

20

Eff

ec

t o

n t

he

slo

pe

(in

%)

Impact of uncertainties (in radiance)

VIS06

VIS08

NIR16

= 30% = 20% = 100%(Ref = 0.1)

= 2% = 1%

-5

0

5

10

15

20

25

30

Eff

ec

t on

th

e s

lop

e (i

n %

)

Impact of uncertainties (in reflectance)

VIS06

VIS08

NIR16

= 30% = 20% = 100%(Ref = 0.1)

= 2% = 1%

Uncertainty analysis on the Radiative Transfer Model (defined as our calibration reference):

• Atmospheric gaseous composition• Geometry (geo-location)• Aerosol load• Surface properties

Biggest source of uncertainties: surface properties + aerosols (no surprise but quantified).

(Presented at EUMETSAT Conference, Sept 2011)

Future work:• Assessment of the current system

uncertainties to be continued• Re-assessment of the desert target

stability + definition of new targets with associated BRF

• Improvement of the RTM• Re-evaluation of the reference against

reference instruments• Implementation of additional methods

such as DCC or homogeneous water clouds (in particular for MTG-FCI non-window channels)


Meteosat Solar Band Calibration using Lunar Observations

SEVIRI Level 1.0 image (forward and backward scan)

Meteosat SEVIRI: • Lunar observations available in the 4 image corners• More than 100 potential observations / year

Achievements: 1. Development of an automatic extraction tool for

lunar observations for LRES channels2. Creation of a database of lunar observations with

MSG1 and MSG23. Collaboration with USGS proof of concept: inter-

band calibration using the ROLO model as a reference works ! (~1% relative error)

Future work:

• Consolidation of the extraction tool for RSS data and HRVIS• Consolidation of the existing database of lunar observations (MSG1

/ MSG2)• Assessment of lunar calibration capacities with MFG-MVIRI sensor• Operational extraction of the SEVIRI lunar observations• Development of a tailored version of the ROLO model in order to

perform operationally lunar calibration (MSG / MTG)


Slide: 18

Preliminary results for SEVIRI onboard Meteosat-8 and -9

Courtesy T. Stone, USGSTo be presented in IGARSS Munich 2012

SEVIRI – Meteosat 8 SEVIRI – Meteosat 9

Note: End at the end of 2005 after the start of Rapid Scan Service

Results to be used only for inter-band calibration and drift monitoring

Lunar calibration method and instrument are stable. SD <1% - consistent with expected performance of ROLO BUT is it affected by seasonality?

Relative difference between channels = consistent with current findings in terms of absolute calibration.


Inter-calibration against MODIS/Aqua using DCCs

Test

on

th

e v

iew

zen

ith

an

gle

MODIS (scan N and N+1)MODIS (scan N+1)SEVIRI

SEVIRI – 12:57

MODIS 13:00

FINAL DCCs for both MODIS Aqua and SEVIRI (Met 9)

• Implementation still on-going• Process for checking-in MODIS + SEVIRI images in place• Thresholding to extract DCCs in place for MODIS + SEVIRI• Ray-matching to establish bias between MODIS and SEVIRI BT missing

(BUT numbers provided by D. Doelling)• Spectral transformation of the data missing (BUT numbers for the

spectral adjustment provided by D. Doelling)• Angular transformation of the data ( use of an Angular Distribution

Model) missing• PDF transformation of data in place• Gain derivation on a monthly basis in place (in radiance, using modal

approach)• Uncertainty analysis to associate an uncertainty estimate to the

derived gain missingCurrent difficulties: data storage for MODIS + GEO data no monitoring system in place yet


Overview





• Other

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HIRS Data – Objectives Prerequisites and Benefits

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Objective:To recalibrate time-series Meteosat First Generation and Meteosat Second

Generation infrared radiances from 1982 till date using a superior instrument as reference.

Prerequisites:• Inter-calibration back to 1982• Target accuracy over the time-series better than 1 K• Inter-calibration with uncertainty estimate

Method• Select reference instrument• Assess the uncertainties through systematic review of spectral conversion

functions• Define the inter-calibration approach• Reprocess and validate the Data processing and verification


METEOSAT 1984-2005 Archive evaluation using radiosondes

METEOSAT2MET3

MET4

MET3

METEOSAT4 METEOSAT5 METEOSAT7MET6

Comparisons between the METEOSAT BTs and the simulated BTs from radoisoundings: (+) represent the raw data, (◊) represent the homogeneised data. The histogram shows the nb of soundings used for comparison.

Courtesy of Helene Brogniez and Rémy Roca, LMD

Can we do better than that and extend to SEVIRI?

ISCCP DX Normalized Instead of nominal

Upgrade of calibration technique (van de Berg, et al., 95)Upgrade of calibration technique

(Schmetz, 1989)


Traditional inter-calibration approach

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GSICS Exec Panel-122012-05-30 Slide: 24

Delta

Delta Correction to transfer from one reference to another

• Defined as differences between inter-calibration functions

• Defined in channel-space of monitored instrument• No need for direct comparisons of references

Proposed GSICS inter-calibration approach

GSICS Exec Panel-122012-05-30 Slide: 25

Delta

Delta time steps inserted for illustration onlyIn practice, deltas defined from simultaneous double-differences

Proposed GSICS inter-calibration approach


Overview





• Other

Slide: 26


Update on Actions

GRWG06_17: Find out time overlaps between geostationary satellites (commissioning and operational periods), find out about the availability of such data and publish this information on the GSICIS Wiki

EUMETSAT have generated an Excel file, presenting on a daily basis the availability of the Meteosat satellite data in COM or OPE mode from the Data Centre. It includes a rudimentary chart, which we plan to improve in the future ,e.g. provide on web site, add zooming capability, select / deselect

Slide: 27

Documents

EUMETSAT GPRC Report