10-11 October 2006HYMN kick-off HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT-2006-037048

10-11 October 2006 HYMN kick-off

HYMNHYMN

Hydrogen, Methane and Nitrous oxide:Trend variability, budgets and interactions with

the biosphere

GOCE-CT-2006-037048

Hydrogen, Methane and Nitrous oxide:Trend variability, budgets and interactions with

the biosphere

GOCE-CT-2006-037048


ContentsContents

• Objectives• Partners• Project overview• Work packages• Project structure & critical dependencies• Expectations kick-off • Dissimination?

• Objectives• Partners• Project overview• Work packages• Project structure & critical dependencies• Expectations kick-off • Dissimination?


ObjectivesObjectives

• Improve process models of land-biosphere-atmosphere exchange of the HYMN gases and provide global and regional estimates of their natural sources and sinks.

• Provision of multi-year global satellite data sets of CH4 and CO and long-term time series of CH4 and N2O at a range of observing stations.

• Provide advice on further optimization of monitoring networks for the HYMN gases.

• Quantify atmospheric loss of CH4 and H2 and the impact of changing anthropogenic and natural (climate-induced) emissions on regional OH trends and on current and future global CH4 and H2 levels.

• Quantify how the possible future change to a hydrogen economy will affect the H2 distribution and the distribution of CH4 and O3 through changes in emissions of H2 and pollutants (NOx, CO, VOCs).

• Evaluate simulations with a new coupled atmospheric chemistry-biosphere model for CH4, N2O and H2 by comparison with ground based and satellite observations on a global and regional scale.

• New estimates of the sources and sinks of CH4 and H2 including their temporal and spatial variability.

• Improve process models of land-biosphere-atmosphere exchange of the HYMN gases and provide global and regional estimates of their natural sources and sinks.

• Provision of multi-year global satellite data sets of CH4 and CO and long-term time series of CH4 and N2O at a range of observing stations.

• Provide advice on further optimization of monitoring networks for the HYMN gases.

• Quantify atmospheric loss of CH4 and H2 and the impact of changing anthropogenic and natural (climate-induced) emissions on regional OH trends and on current and future global CH4 and H2 levels.

• Quantify how the possible future change to a hydrogen economy will affect the H2 distribution and the distribution of CH4 and O3 through changes in emissions of H2 and pollutants (NOx, CO, VOCs).

• Evaluate simulations with a new coupled atmospheric chemistry-biosphere model for CH4, N2O and H2 by comparison with ground based and satellite observations on a global and regional scale.

• New estimates of the sources and sinks of CH4 and H2 including their temporal and spatial variability.


ConsortiumConsortium

No Partner Short name Country

1 Royal Netherlands Meteorological Institute (coordinator) KNMI NL

2 University of Bristol UNIVBRIS UK

3 University of Oslo UiO NO

4 University of Heidelberg UHEI.IUP DE

5 Centre National de la Recherche Scientifique-Laboratoire des Sciences du Climat et de l’Environnement

CNRS-LSCE FR

6 University of Bremen Uni-HB DE

7 Belgian Institute for Space Aeronomy BIRA-IASB BE

8 University of Liège ULg BE

9 Chalmers Tekniska Hoegskola Aktiebolag Chalmers SV

10 Forschungszentrum Karlsruhe, Institut für Meteorologie und Klimaforschung – Atmospheric Environmental Research

FZK-IMK-IFU DE

11 University of Karlsruhe, Institut für Meteorologie und Klimaforschung – Atmospheric Trace Constituents and Remote Sensing

UniKarl DE

12 Commisariat à l’Energie Atomique - Laboratoire des Sciences du Climat et de l’Environnement

CEA-LSCE FR


Work packagesWork packages

WP2 Biosphere-atmosphereinteractions

WP

1 P

roje

ct M

anag

emen

t

HYMN

WP3 Satelliteobservations

WP5 Model Integration and

Evaluation

WP4 Observationsfrom ground networks

WP6 Inverse Modelling and 4d-var

Data Assimilation

Modules

Satellite obs

FTIR obsSurface obs

Integrated Models

Monitoring database

Sinks and sources

Suggestions for Improvements

Trends

Assessment


WP2 Biosphere-atmosphere interactions

WP2 Biosphere-atmosphere interactions

Objective: further develop and provide a climate-driven global biosphere/land model for HYMN gases

Based on LPJ and including

• CH4 emissions from wetlands, permaforst• CH4, CO, Nox, H2 emissions from fires• N2O & Nox fluxes from soils (microbes)• H2 fluxes from N-fixation

Set up interface to at least one of the global atmospheric chemistry models

Objective: further develop and provide a climate-driven global biosphere/land model for HYMN gases

Based on LPJ and including

• CH4 emissions from wetlands, permaforst• CH4, CO, Nox, H2 emissions from fires• N2O & Nox fluxes from soils (microbes)• H2 fluxes from N-fixation

Set up interface to at least one of the global atmospheric chemistry models


WP3 Satellite observationsWP3 Satellite observations

Objectives• consistent data set of SCIAMACHY CH4 and CO from 2003

onward + error estimates• consistent data set of IMG/IASI CH4 + error estimates• investigate combined SIAMACHY-IASI CH4 retrieval

Objectives• consistent data set of SCIAMACHY CH4 and CO from 2003

onward + error estimates• consistent data set of IMG/IASI CH4 + error estimates• investigate combined SIAMACHY-IASI CH4 retrieval

Clerbaux et al., ACP, 2003


WP4 Observations from ground-based networksWP4 Observations from ground-based networks

Objectives• Perform FTIR measurements at 7 stations (28-80 N) once

a week (if sky is clear) during HYMN (2006-2009).• 3-month measurement campaign at La Réunion• Optimise, standardise retrieval and error estimates CH4,

N2O• Construct historical time series• Validate satellite CH4 with FTIR

Objectives• Perform FTIR measurements at 7 stations (28-80 N) once

a week (if sky is clear) during HYMN (2006-2009).• 3-month measurement campaign at La Réunion• Optimise, standardise retrieval and error estimates CH4,

N2O• Construct historical time series• Validate satellite CH4 with FTIR


WP5 Model integration and evaluation

WP5 Model integration and evaluation

Objectives

• Evaluate current chemistry models against satellite and ground-based observations

• Same for new coupled biosphere-chemistry model

• Quantify the effect of changing natural and anthropogenic emissions (including climate-driven vegetation fluxes) on CH4, OH, O3 and H2 – on decadal time scales

• Quantify the effect of the transformation to a hydrogen economy

Objectives

• Evaluate current chemistry models against satellite and ground-based observations

• Same for new coupled biosphere-chemistry model

• Quantify the effect of changing natural and anthropogenic emissions (including climate-driven vegetation fluxes) on CH4, OH, O3 and H2 – on decadal time scales

• Quantify the effect of the transformation to a hydrogen economy

Frankenberg et al., Science, 2005, supp. material.


WP6 Inverse modelling & data assimilation

WP6 Inverse modelling & data assimilation

Objectives

• Derive error estimates for model and observational errors (satellite and surface-based)

• Determine surface fluxes of CH4 and H2 (1980-2000) by inverse modelling and data assimilation

• Estimate evolution of OH (1980-2000)

Objectives

• Derive error estimates for model and observational errors (satellite and surface-based)

• Determine surface fluxes of CH4 and H2 (1980-2000) by inverse modelling and data assimilation

• Estimate evolution of OH (1980-2000)

Meirink et al., 2006 (Evergreen)


Project structureProject structure

WP2 Biosphere-atmosphereinteractions

WP3 Satelliteobservations

WP5 Model Integration and

Evaluation

WP4 Observationsfrom ground networks

WP6 Inverse Modelling and 4d-var

Data Assimilation

observations

modelling

Model Observations com-parison Group (MOG)

Mod

el I

nteg

rati

on

Gro

up (M

IG)

Steering Committee

European Commission

CoordinatorWP1 Project management


Critical dependenciesCritical dependenciesBetween model development and model application

• WP2 (UBRIS): to interface global biosphere model to an atmospheric chemistry transport model (month 18, D2.3)

to be applied in WP5 (led by Un. Oslo) to evaluate feedbacks.

Model Integration Group (MIG): KNMI, UBRIS, Un.Oslo and LSCE: addresses coupling issues.

Between observations and modelling

• WP4 (FTIRs, led by Uni-HB) to deliver preliminary historical data (D4.2, month 12) and improved/extended data (D4.5, month 24).

• WP3 (satellites, led by Un. Heid.) to deliver preliminary SCIAMACHY & IMG/IASI data (D3.2, D3.3, month 18) and final data (D3.4, D3.5, month 33)

to be used by WP5 (led by Un. Oslo) for model evaluation and by WP6 (led by LSCE) for inverse modelling.

Model-Observations comparison Group (MOG) : KNMI, Un.Heid., 2 x FTIR (Un. Bremen, BIRA): data selection, data exchange between modellers and observation groups.

MOG and MIG may need to convene between semi-annual meetings!

Between model development and model application

• WP2 (UBRIS): to interface global biosphere model to an atmospheric chemistry transport model (month 18, D2.3)

to be applied in WP5 (led by Un. Oslo) to evaluate feedbacks.

Model Integration Group (MIG): KNMI, UBRIS, Un.Oslo and LSCE: addresses coupling issues.

Between observations and modelling

• WP4 (FTIRs, led by Uni-HB) to deliver preliminary historical data (D4.2, month 12) and improved/extended data (D4.5, month 24).

• WP3 (satellites, led by Un. Heid.) to deliver preliminary SCIAMACHY & IMG/IASI data (D3.2, D3.3, month 18) and final data (D3.4, D3.5, month 33)

to be used by WP5 (led by Un. Oslo) for model evaluation and by WP6 (led by LSCE) for inverse modelling.

Model-Observations comparison Group (MOG) : KNMI, Un.Heid., 2 x FTIR (Un. Bremen, BIRA): data selection, data exchange between modellers and observation groups.

MOG and MIG may need to convene between semi-annual meetings!


Workshop expectationsWorkshop

expectations• Define coupled model configurations (processes, exchange

between atmosphere and biosphere models)

• First discussion of methodologies for retrieval and error quantification observations (incl. needs for inverse modelling)

• Definition of set-up for model evaluation against observations

• Define model runs for past and future changes and inversions

Set up cooperations !

• Define coupled model configurations (processes, exchange between atmosphere and biosphere models)

• First discussion of methodologies for retrieval and error quantification observations (incl. needs for inverse modelling)

• Definition of set-up for model evaluation against observations

• Define model runs for past and future changes and inversions

Set up cooperations !


For later For later

Following sheets are for later during the kick-off workshopFollowing sheets are for later during the kick-off workshop


Technical matters Technical matters

• Website, ftp-server, mailing lists• Deliverables• Website, ftp-server, mailing lists• Deliverables


Website, mailing listsWebsite, mailing lists

http://www.knmi.nl/samenw/hymn

Asked for domainname: www.hymn.org

Internal websiteuser hymn password biosphere

Internal ftp-siteftp ftppro.knmi.nl user hymn password wYa6Hdb9

Mailing lists:[email protected] : [email protected] : participants including [email protected] : administrative contactsNote: these do not include the CEC officer Dr. I. Troen

Responsible administrative person at KNMI: Anne [email protected]

http://www.knmi.nl/samenw/hymn

Asked for domainname: www.hymn.org

Internal websiteuser hymn password biosphere

Internal ftp-siteftp ftppro.knmi.nl user hymn password wYa6Hdb9

Mailing lists:[email protected] : [email protected] : participants including [email protected] : administrative contactsNote: these do not include the CEC officer Dr. I. Troen

Responsible administrative person at KNMI: Anne [email protected]


Deliverables Deliverables

Deliverable ready=deliverable document available on website for technical review !

See template and instructions on internal website

Deliverable ready=deliverable document available on website for technical review !

See template and instructions on internal website

http://www.knmi.nl/samenw/hymn/internal/deliverables.htm





Deliverables for the first 18 months

Deliverables for the first 18 months

Del.No[1]

Deliverable name WP no. Lead participant

Est. Person months

Nature

[2]

Disseminationlevel

[3]

Delivery date[4] (project

month)

D1.1 Mailing list 1 1 0,1 O Pu 1

D1.2 Internal website and ftp-site 1 1 0,3 O PP 3

D1.3 External website 1 1 0.5 O Pu 3

D1.4 Project presentation 1 1 0,1 O Pu 4

D4.1 Report on common measurement strategy 4 6 6 R Pu 8

D1.5 Information leaflet about project 1 1 0,3 O Pu 12

D4.2 For all FTIR stations: preliminary historical time series of total column abundances and vertical profiles for CH4 and

N2O (for model evaluation and satellite validation)

4 6-11 24 O PP/Pu4* 12

D3.1 First report on estimates of possible statistical and systematic errors for retrievals from SCIAMACHY

3 4 6 R Pu 15

D2.1 A structurally complete, initial version of a comprehensive, climate-driven global model for the exchanges of key reactive trace gas species between the atmosphere and the terrestrial biosphere, built on the LPJ dynamic global vegetation modelling framework ready for coupling to the atmospheric chemistry-transport model

2 2 24 P PP 18

D3.2 First set of total columns CH4 and CO from the year 2003

onwards, retrieved from SCIAMACHY

3 4 12 O PP/Pu4* 18

D3.3 First set of total CH4 columns retrieved from IMG/IASI

including error estimates

3 5 5 O PP/Pu4* 18

D5.1 Output from sensitivity runs (in database) 5 1,3,5 20 O PP/Pu4* 18


Deliverables for month 19-30

Deliverables for month 19-30

Del.No[1]


Est. Person months

Nature

[2]

Disseminationlevel

[3]


month)

D4.3 Assessment report of associated retrieval error budget 4 6 4 R Pu 20

D4.4 Report on optimized retrieval strategy 4 10 4 R Pu 20

D4.5 For all FTIR stations: revised historical time series of total column abundances and vertical profiles for CH4 and N2O

(for model evaluation and satellite validation)

4 6-11 37 O PP/Pu4* 24

D4.6 Preliminary results on the validation of the satellite data with FTIR observations from all sites. At all sites solar absorption measurements extent back several years, hence the validation can be done for the lifetime of SCIAMACHY, IMG and first years of IASI.

4 7 10 R Pu 24

D5.2 Report on the influence of the biosphere on trends and variability in CH4, H2 and N2O

5 5 3 R Pu 27

D5.3 Output from decadal runs (in database) 5 1,3,5 30 O PP/Pu4* 27

D6.1 Report on model performances in terms of forward simulations of CH4, H2, and N2O using a-priori

distribution of emissions and atmospheric sinks and derived error and biases against model results and observations

6 5 20 R Pu 27

D2.2 Report on the evaluation of the model’s ability to simulate observed trace gas fluxes from observations in different regions

2 2 5 R Pu 27

D2.3 A comprehensive, climate-driven global model fully set up to interface with the atmospheric chemistry-transport models

2 2 20 P PP 28

D5.4 Report on variability in the trends of CH4, H2 and N2O and

associated feedbacks

5 3 4 R Pu 28


Deliverables last 6 monthsDeliverables last 6 months

Del.No[1]


Est. Person months

Nature

[2]

Disseminationlevel

[3]


month)

D3.4 Complete final set of total columns CH4 and CO from the

year 2003 onwards, retrieved from SCIAMACHY

3 4 14 O PP/Pu4* 33

D3.5 Complete set of total CH4 columns retrieved from

IMG//IASI

3 5 5 O PP/Pu4* 33

D3.6 Final report on estimates of possible statistical and systematic errors for retrievals from SCIAMACHY

3 4 4 R Pu 36

D4.7 For all FTIR stations: time series of total column abundances and vertical profiles for CH4 and N2O,

extending to the last year of the project

4 6-11 14 O PP/Pu4* 36

D4.8 Final results on the validation of the satellite data with FTIR observations from all sites

4 7 5 R Pu 36

D5.5 Assessment report on the possible future effects on methane and ozone and on climate and pollution levels of the transformation to a hydrogen economy

5 3 20 R Pu 36

D6.2 Report on emissions of CH4 and H2 over the 1980-2000

period derived from inverse modeling of available satellite and ground-based observations on a regional basis. Comparison with a priori emissions

6 5 22 R Pu 36

D6.3 Report on fully optimized distributions of emissions, production, and sinks for CH4 and H2 obtained through

4D var data assimilation

6 1 25 R Pu 36

D1.6 Information leaflet about project results 1 1 0,2 O Pu 36

D1.7 Final project report 1 1 1 R Pu 37

D1.8 Final Plan for using and disseminating knowledge 1 1 0,2 R Pu 37

D1.9 Report on raising public participation and awareness 1 1 0,3 R Pu 37


Other matters Other matters

On following slidesOn following slides


Dinner Dinner

• De Witte Swaen, Dorpstraat 8, De Bilt

How many participants? Vegetarians?

• De Witte Swaen, Dorpstraat 8, De Bilt

How many participants? Vegetarians?

hotel

restaurant


Facilities Facilities

• PC with access to internet outside meeting room

• Taxis can be ordered at the reception desk

• PC with access to internet outside meeting room

• Taxis can be ordered at the reception desk

Documents

10-11 October 2006HYMN kick-off HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT-2006-037048