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Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere HYMN 6 month progress meeting K. Petersen, M. De Mazière

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

HYMN 6 month progress meeting

K. Petersen, M. De Mazière

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

HYMN Meeting Tenerife May, 4th 2007

• Common measurement strategy

• Preliminary historical time series column abundances and vertical profiles for CH4 and N2O in database

• Optimised retrieval parameters and associated retrieval error budget

• Strategy for the validation of the satellite measurements

• Set up model intercomparison

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

- Report submitted February 2007

- Pressure measurements (time resolution, accuracy) ?- Ny Alesund (UniHB) yes / every minute / 0.2 hPa- Kiruna (UniKarl-IMK-ASF) ?- Harestua (Chalmers) ?- Bremen (UniHB) yes / every minute / 0.2 hPa- Zugspitze (FZK-IMK-IFU) ?- Jungfraujoch (ULg) ?- Izana (UniKarl-IMK-ASF) ?- Paramaribo (UniHB) yes / ~every 10 min. / 1.0 hPa- La Réunion (BIRA-IASB) yes / every 10 sec. / 0.5 hPa- Polarstern (UniHB) yes / ~every 10 min. / 0.2 hPa

agreement performing pressure measurements and/or using data from weather stations. For mountain stations averaging is necessary due to (wave) fluctuations. Accuracy of 1 hPa suffices and can be reached with most sensors NCEP/ECMWF data: KNMI provides ECMWF data to test sensitivity of retrieval to T-profile

Common measurement strategy

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

-Which retrieval parameters (common/individual micro windows, altitude grid, …? ) where possible use same micro windows for all stations to allow analysis of latitudinal dependence of errors in model and satellite data every station uses its own altitude grid

- archived parameters (individual measurements/daily means, averaging kernels, surface pressure, …) individual measurements, meta-data file

- Data format (HDF, NASA Ames, CDF, …? )HDF, same variables/parameters as discussed in NDACC/IRWGmeta-data file for asc2hdf conversion tool: Martine

- Database (KNMI ftp-server: ftppro.knmi.nl, directory: incoming/FTIR ) user: hymn, pw: ask Peter van Velthoven

- N2O (retrieval and updated time series as in UFTIR ? )

Deadline month 12 (September 2007) !

Preliminary historical time series column abundances and vertical profiles for CH4 and N2O in database

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

- Cell measurements (May 2007, UB/IMK-FZK)

- Error budget (Frank Hase)

Deadline month 20 (May 2008) !

Optimised retrieval parameters and associated retrieval error budget

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

- Comparison of total columnsUse dry air columns? Sciamachy also seems to do this (division by CO2)

- Direct comparison FTIR-satellite or comparison FTIR and satellite using a model ? (Satellite-model and FTIR-model comparisons are straightforward)Preferably also do FTIR-satellite comparison

- Footprint of satellite - Variability within pixel area ?- FTIR measurement outside pixel area ?- Use model as intermediate step?

Read paper by Sussmann et al. in ACP,5, 2419-2429 (2005)http://www.atmos-chem-phys.net/5/2419/2005/acp-5-2419-2005.pdf

Strategy for the validation of the satellite measurements

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

Set up model intercomparison

- Archived simulations with N2O and CH4 are not very suitable for comparison with FTIR – comparison can only be done in a climatological sense, e.g. monthly mean

- prescribed surface concentrations of N2O and CH4 were used until now output from LMDZINCA and OsloCTm2 on ftp-server in /incoming/CTM

- New model runs will be done this summer

- Locations (), dates + times of FTIR measurements, averaging kernels of observed profiles for new model runs

archive instantaneous or averaged FTIR observations ? Instantaneous!

- Comparison model-FTIR: every group will do the comparison for their own sites!- Model data will be provided in separate files for each site each day (at 12h LT or 10-16h LT mean)

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

• Next meeting:October 2007 (Bristol?)• meta-data file: Martine (July 2007)• submit historical dataset within month 12 (September 2007), (focus

on 2004, if possible extend to 2003 and until end of 2006, CH4 and N2O)

• KNMI: provide ECMWF profiles for the sites (August 2007)• comparison ECMWF/NCEPerror estimation: looking for

literature?/references? (note that NCEP-ECWMF T-differences vary due to frequent model changes)

• CH4 cell measurements: provide results (July 2007)• error budget: Frank• distribute new microwindows for testing at other sites: Corinne• test of taking water into account (dry air column averaged VMR ?),

esp. at tropical stations

Summary/Conclusions

Forschungszentrum Karlsruhein der Helmholtz-Gemeinschaft

Universität Karlsruhe (TH)

Time series of CH4 in Kiruna

Kiruna site (67.83°N, 20.42°E, 420 m asl.)Bruker 120 HR

approx. 35 measurement days in 2007 (until today)

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 20073.0

3.5

4.0

1996 1998 2000 2002 2004 2006

10

20

30

40

tota

l col

umn

[ *10

19 c

m-2

]

alti

tude

[km

]

year

0

0.08

0.16

0.24

0.32

0.40

vmr

Forschungszentrum Karlsruhein der Helmholtz-Gemeinschaft

Universität Karlsruhe (TH)

1999 2000 2001 2002 2003 2004 2005 2006

2.8

2.9

tota

l col

umn

[ *10

19 c

m-2

]

1999 2000 2001 2002 2003 2004 2005 2006

10

20

30

40

vmr

year

altit

ude

[km

]

0

0.5

1.0

1.5

2.0

2.4

Time series of CH4 in Izana

Izaña site (28.3° N, 16.5° W, 2367 m asl )Bruker 120 M / 125 HR*, *: three months side-by-sideIntercomparison

approx. 35 measurement days in 2007(until today)

Forschungszentrum Karlsruhein der Helmholtz-Gemeinschaft

Universität Karlsruhe (TH)

Correlation between total column amounts of N2O and CH4 in Kiruna and Izana

3.2 3.3 3.4 3.5 3.6 3.75.4

5.6

5.8

6.0

6.2

6.4

N2O

[x1

01

8 c

m-2

]

CH4 [x1019 cm -2]

R=0.946slope = 0.17912

Kiruna

2.70 2.75 2.80 2.85 2.90 2.954.8

4.9

5.0

5.1

5.2

N2O

[x1

018 c

m-2

]

CH4 [x1019 cm -2]

IzanaR = 0.7479slope = 0.16664

Research Center Karlsruhe Ralf Sussmann

IMK-IFU Garmisch-Partenkirchen Zugspitze and Garmisch FTIR

Current HYMN relevant work at IMK-IFU:

• performing continuous measurements with 2 FTIRs (Garmisch and Zugspitze)

• looking for HYMN PhD student (start in summer 2007)

• working on manuscript „N2O trend over Europe retrieved from 6 FTIR stations“ (to be finalized in May/June)

Question: what will be the state of the ACP special issue? Otherwise manuscript to be reformatted for GRL/JGR?

• adapting the Garmisch FTIR with TCCON components (detectors, optics, solar tracker, GPS, pressure sensors: see talk at TCCON meeting)

Questions:

• interested in discussing the set up of the model-FTIR intercomparison

These slides should contain a short outline of the progress

> since the start of HYMN and in addition questions to be

discussed for > the progress of HYMN.

J. Mellqvist, Chalmers

Chalmers activities in the Hymn project

•34 measurement days have been conducted since the start of the project , sep 1 2006.

•A student has been trained to work with measurements and retrievals

•A first retrieval of methane has been conducted using three different microwindows

•Instrumental problems with occasional phase shifts has being worked on.

•Further automization is being implemented

J. Mellqvist, Chalmers

Retrieval of a few microwindows

3.0E+19

3.1E+19

3.2E+19

3.3E+19

3.4E+19

3.5E+19

3.6E+19

3.7E+19

3.8E+19

3.9E+19

19940615 19960614 19980614 20000613 20020613 20040612 20060612

CH4 2650cm-1CH4 2835 + 2921cm-1CH4 uftir 5 mw'sPoly. (CH4 uftir 5 mw's)

J. Mellqvist, Chalmers

Questions

• Which are the best microwindows-How can one avoid oscillations

• Quality of the spectroscopic data

J. Mellqvist, Chalmers