Methane inversion from satellite, TRANSCOM workshop, Jena, 12-15 May 2003 Inverse modelling of methane sources and sinks using satellite observations Jan.

Slides:

Advertisements

Similar presentations

Martin G. Schultz, MPI Meteorology, Hamburg GEMS proposal preparation meeting, Reading, Dec 2003 GEMS RG Global reactive gases monitoring and forecast.

Advertisements

Henk Eskes GEMS overall validation workpackage Henk Eskes Royal Netherlands Meteorological Institute.

TM meeting, KNMI, 12 November 2003 EVERGREEN WP 4200: model intercomparison on transport and chemistry Peter Bergamaschi (JRC IES) Jan Fokke Meirink (KNMI)

Applications of space-borne Carbon- monoxide measurements in Atmospheric Chemistry and Air Quality Maarten Krol, Wageningen University / SRON / IMAU Jos.

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Inversion strategy 4D-var method adjoint model of TM3 CH4-only version has been.

Henk Eskes, William Lahoz, ESTEC, 20 Jan 2004 The role of data assimilation in atmospheric composition monitoring and forecasting Henk Eskes, William Lahoz.

Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT HYMN September 2007.

Setup of 4D VAR inverse modelling system for atmospheric CH 4 using the TM5 adjoint model Peter Bergamaschi Climate Change Unit Institute for Environment.

Ozone Assimilation in the Chemistry Transport Model CHIMERE using an Ensemble Kalman Filter (EnKF) : Preliminary tests over the Ile de France region 2.

Meteorological update and modeling plans within GEOMON Peter van Velthoven, KNMI Meteo status: almost complete up to April 2008.

Quantitative retrievals of NO 2 from GOME Lara Gunn 1, Martyn Chipperfield 1, Richard Siddans 2 and Brian Kerridge 2 School of Earth and Environment Institute.

Surface UV radiation monitoring based on GOME and SCIAMACHY Jos van Geffen 1,2, Ronald van de A 1, Michiel van Weele 1, Marc Allaart 1, Henk Eskes 1 1)

ECMWF CO 2 Data Assimilation at ECMWF Richard Engelen European Centre for Medium-Range Weather Forecasts Reading, United Kingdom Many thanks to Phil Watts,

Data assimilation of trace gases in a regional chemical transport model: the impact on model forecasts E. Emili 1, O. Pannekoucke 1,2, E. Jaumouillé 2,

The Averaging Kernel of CO2 Column Measurements by the Orbiting Carbon Observatory (OCO), Its Use in Inverse Modeling, and Comparisons to AIRS, SCIAMACHY,

Towards a multi-species variational assimilation system for surface emissions of CH 4, CO, H 2 I. Pison, F. Chevallier, and P. Bousquet Laboratoire des.

10/05/041 Utilisation of satellite data in the verification of HIRLAM cloud forecasts Christoph Zingerle and Pertti Nurmi.

Extracting Atmospheric and Surface Information from AVIRIS Spectra Vijay Natraj, Daniel Feldman, Xun Jiang, Jack Margolis and Yuk Yung California Institute.

A Variational Carbon Data Assimilation System (CDAS-4DVar)

Transcom, Paris 13 June 2005 Estimating Atmospheric CO 2 using AIRS Observations in the ECMWF Data Assimilation System Richard Engelen European Centre.

A 21 F A 21 F Parameterization of Aerosol and Cirrus Cloud Effects on Reflected Sunlight Spectra Measured From Space: Application of the.

Estimating regional sources and sinks of CO 2 for North America Using NOAA-CMDL measurements and the TM5 model Wouter Peters, NOAA CMDL TRANSCOM May 13th,

Evaluating the Impact of the Atmospheric “ Chemical Pump ” on CO 2 Inverse Analyses P. Suntharalingam GEOS-CHEM Meeting, April 4-6, 2005 Acknowledgements.

Assimilation of Aerosol Optical Depth Gé Verver 1, Bas Henzing 1, Peter van Velthoven 1 Cristina Robles-Gonzalez 2, Gerrit de Leeuw 2 1 KNMI, De Bilt,

Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators.

Hauglustaine et al., IGAC, 19 Sep 2006 Forward and inverse modelling of atmospheric trace gas at LSCE P. Bousquet, I. Pison, P. Peylin, P. Ciais, D. Hauglustaine,

Cirrus Cloud Boundaries from the Moisture Profile Q-6: HS Sounder Constituent Profiling Capabilities W. Smith 1,2, B. Pierce 3, and Z. Chen 2 1 University.

ECMWF's activities in atmospheric composition and climate monitoring

A NICE PLACE 1 Chemical Modelling & Data Assimilation D. Fonteyn, S. Bonjean, S. Chabrillat, F. Daerden and Q. Errera Belgisch Instituut voor Ruimte –

ICDC7, Boulder, September 2005 CH 4 TOTAL COLUMNS FROM SCIAMACHY – COMPARISON WITH ATMOSPHERIC MODELS P. Bergamaschi 1, C. Frankenberg 2, J.F. Meirink.

J.-F. Müller and T. Stavrakou IASB-BIRA Avenue Circulaire 3, 1180 Brussels AGU Fall meeting, Dec Multi-year emission inversion for.

« Data assimilation in isentropic coordinates » Which Accuracy can be achieved using an high resolution transport model ? F. FIERLI (1,2), A. HAUCHECORNE.

Tropospheric NO2 and ozone Ronald van der A, Michel Van Roozendael, Isabelle De Smedt, Jos de Laat, Ruud Dirksen, Folkert Boersma KNMI and BIRA-IASB Thessaloniki,

Ankie Piters Royal Netherlands Meteorological Institute Ministry of Infrastructure and Environment Measuring vertical profiles and tropospheric columns.

Tbilisi, GGSWBS'14 Optimization for inverse modelling Ketevan Kasradze 1 Hendrik Elbern 1,2

Tropospheric NO2 Ronald van der A, Michel Van Roozendael, Isabelle De Smedt, Ruud Dirksen, Folkert Boersma KNMI and BIRA-IASB Beijing, October 2008.

Page 1Validation by Satellite Intercomparison - ESRIN 9–13 December 2002 National Institute for Space Research Preliminary validation of the first SCIAMACHY.

Assimilating chemical compound with a regional chemical model Chu-Chun Chang 1, Shu-Chih Yang 1, Mao-Chang Liang 2, ShuWei Hsu 1, Yu-Heng Tseng 3 and Ji-Sung.

NMVOC emissions NMVOC emissions estimated from HCHO GOME-2 satellite data J-F. Muller, J. Stavrakou I. De Smedt, M. Van Roozendael Belgian Institute for.

Development of an EnKF to estimate CO 2 fluxes from realistic distributions of X CO2 Liang Feng, Paul Palmer

SCIAMACHY Validation Workshop, 6-8 Dec 2004, Bremen CO, CH4, CO2, and N2O columns retrieved from SCIAMACHY by WFM-DOAS: Algorithm, released data products,

ATMOSPHERIC CHEMISTRY APPLICATIONS WORKSHOP January 2004, ESTEC Albert P H Goede Objective of the Workshop User Consultation on present and future.

The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:

1 JRA-55 the Japanese 55-year reanalysis project - status and plan - Climate Prediction Division Japan Meteorological Agency.

Institut für Umweltphysik (iup) AMFIC Kick-off Meeting, 26 October 2007, KNMI, The Netherlands Carbon monoxide columns and methane column- averaged mixing.

Aristeidis K. Georgoulias Contribution of Democritus University of Thrace-DUTH in AMFIC-Project Democritus University of Thrace Laboratory of Atmospheric.

Retrieval of Methane Distributions from IASI

COST 723 kick-off workshop, ESTEC, Nordwijk, Assimilation of space and air borne measurements in a tropospheric chemistry transport model.

Atmospheric Inventories for Regional Biogeochemistry Scott Denning Colorado State University.

10-11 October 2006HYMN kick-off TM3/4/5 Modeling at KNMI HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the.

ICDC7, Boulder September 2005 Estimation of atmospheric CO 2 from AIRS infrared satellite radiances in the ECMWF data assimilation system Richard.

HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT Status of TM model Michiel.

Evaluation of model simulations with satellite observed NO 2 columns and surface observations & Some new results from OMI N. Blond, LISA/KNMI P. van Velthoven,

PBL FTS Institute Retreat June 16-19, 2008 – Chorus ATM-Group Simultaneous use of greenhouse gas concentration measurements and meteorological measurements.

Error correlation between CO 2 and CO as a constraint for CO 2 flux inversion using satellite data from different instrument configurations Helen Wang.

Henk Eskes, ERS-ENVISAT symposium 2004 Retrieval, validation and assimilation of SCIAMACHY ozone columns Henk Eskes, Ronald van der A, Ellen Brinksma,

1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,

Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: H 2 O retrieval from IASI.

Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December D-VAR chemical data assimilation of ENVISAT chemical.

ESA :DRAGON/ EU :AMFIC Air quality Monitoring and Forecasting In China Ronald van der A, KNMI Bas Mijling, KNMI Hennie Kelder KNMI, TUE DRAGON /AMFIC project.

Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.

CAPACITY User Requirements by Albert P H Goede 7 April 2004, KNMI Objective of Work Package 1000 Definition of User Requirements for Operational Monitoring.

HYMN: Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT TM4 model evaluations

27-28/10/2005IGBP-QUEST Fire Fast Track Initiative Workshop Inverse Modeling of CO Emissions Results for Biomass Burning Gabrielle Pétron National Center.

Ship emission effect on Houston Ship Channel CH2O concentration ——study with high resolution model Ye Cheng.

Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and

Henk Eskes, Jan Fokke Meirink, Ankie Piters

Monika Kopacz, Daniel Jacob, Jenny Fisher, Meghan Purdy

Intercomparison of SCIAMACHY NO2, the Chimère air-quality model and

Hartmut Bösch and Sarah Dance

Presentation transcript:

Methane inversion from satellite, TRANSCOM workshop, Jena, May 2003 Inverse modelling of methane sources and sinks using satellite observations Jan Fokke Meirink, Henk Eskes, Michiel van Weele, Albert Goede Royal Netherlands Meteorological Institute (KNMI)

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Overview EVERGREEN SCIAMACHY inverse modelling strategy first experiments

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 EVERGREEN EnVisat for Environmental Regulation of GREENhouse gases EC 5 th framework programme Feb – Feb Objective: use ENVISAT (SCIAMACHY and MIPAS) measurements for inverse modelling of GHG emissions Partners: KNMI (NL, coordinator), Univ. Bremen (DE), Univ. Leicester (GB), Univ. Heidelberg (DE), NILU (NO), SRON (NL), MPI-BGC (DE), BIRA-IASB (BE), UPMC-SA (FR), RWE-Rheinbraun (DE), Univ. Liège (BE), EC-JRC-IES (IT) website:

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 EVERGREEN: tasks Retrieval and validation: CH4, CO, (CO2), O2 columns; clouds Radiation budget modelling: use of measured trace gas distributions in radiative forcing calculations (Inverse) modelling: CH4, CO, CO2 emission inventory (forward) model intercomparison ( 222 Rn, SF 6,...) inverse modelling

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 SCIAMACHY on ENVISAT CH4 CO CO2

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 SCIAMACHY measurements No useful retrievals yet: calibration problems (mainly dark current correction) ice layers on the detectors, channel 7 and 8 NIR retrieval quality will depend on: albedo: over water low signal-to-noise ratio solar zenith angle clouds

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 SCIAMACHY: example nadir measurements (simulated)

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Chemistry-transport model TM3 horizontal resolution: 7.5x10 / 3.75x5 / 2.5x2.5 deg vertical resolution: 19 / 31 layers up to 10 hPa slopes scheme for advection ECMWF meteorology 37 tracers (22 transported) CBM-4 scheme for NMHC chemistry nudging at model top to climatology (O3) and UARS data (CH4) single-tracer version with OH fields from full model

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Planned model setup in Evergreen horizontal resolution: 2x3 deg extension of model in vertical direction: use subset of ECMWF layers up to 0.1 hPa nudging of CH4 to surface observations to have model reproduce measured NH-SH gradient up-to-date emissions from WP 4100

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Inversion strategy 4D-var method adjoint model of TM3 CH4-only version has been developed optimize surface fluxes and initial CH4 field expected: in the beginning adjustments to CH4 field, later to surface fluxes time frame: 1 week to 1 month

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May D var (1)

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 cost function 4D var (2) state vector x = [c,f] background error covariance observation error covariance observatio n observatio n operator model

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May D var (3) gradient of the cost function adjoint model

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Preconditioning S diagonal matrix with standard deviations LL T symmetric matrix with correlations

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 First experiments First week of January 2000 Sat.obs. taken from perturbed model run Optimize emissions only Background error covariance Standard deviation: 50% of emission Horizontal correlation function: Gaussian with length scale of 1000 km Observation error covariance Diagonal; standard deviation: 0.5% of column

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 A priori emissions

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Perturbed run 50% enhanced emissions

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Effect on CH4 field after one week

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Pseudo satellite observations

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Optimized CH4 emissions

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Resulting CH4 field

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Setting  obs to 2%

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Adding 0.5% noise to sat.data

Methane inversion from satellite, TRANSCOM meeting, Jena,12-15 May 2003 Summary EU project EVERGREEN for emission estimates of CH4, CO, and possibly CO2, using satellite data. SCIAMACHY has the potential of measuring CH4 and CO columns, but first some calibration problems have to be solved. Inverse modelling of CH4 using 4D-var has been set up at KNMI and first experiments have been done.