IWGGMS June 2016, Kyoto, Japan. XCO 2 and XCH 4 retrievals: The GHG-CCI CRDP3 data set
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1 IWGGMS June 2016, Kyoto, Japan SCIAMACHY CCI Integration Meeting, ECMWF, and March GOSAT 2011 XCO 2 and XCH 4 retrievals: The GHG-CCI CRDP3 data set Michael Buchwitz, Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany and the GHG-CCI team The Inversion Lab
2 GHG-CCI Team The Inversion Lab M. Buchwitz, M. Reuter, O. Schneising, J. Heymann, M. Hilker, S. Noël, H. Bovensmann, J. Notholt, T. Warneke, J. P. Burrows, IUP, Univ. Bremen, Germany, Science lead, project management, SCIAMACHY CO 2 & CH 4, S5P CH 4, lead CRDP+ATBD+PVIR, validation (lead) CCI Integration Meeting, ECMWF, March 2011 H. Boesch, W. Hewson, R. Parker, EOS Group, Univ. Leicester (UoL), UK, Project management, GOSAT CO 2 & CH 4, OCO-2 CO 2,, lead SVR+CECR, CRDP data server O. Hasekamp, R. Detmers, I. Aben, S. Houweling, T. T. v. Leeuwen, C. Frankenberg (JPL/CalTech), SRON, Utrecht, The Netherlands, GOSAT CO 2 & CH 4 (in coop. with KIT) & SCIAMACHY CH 4 (in coop. with JPL), S5P CH 4, lead DARD+PSD+PUG+SSD, inverse modelling A. Laeng, A. Butz, G. Stiller, KIT, IMK-ASK, Karlsruhe, Germany, MIPAS CH 4, GOSAT CO 2 & CH 4 (in coop. with SRON) C. Crevoisier, R. Armante, LMD, CNRS/IPSL, France, IASI CO 2 & CH 4, ACE-FTS CO 2 B. Dils, E. De Wachter, M. De Mazière, BIRA, Brussels, Belgium, Validation G. Lichtenberg, B. Aberle, DLR, IMF, Germany, System engineering (lead), SCIAMACHY calibration F. Chevallier, LSCE, France, Climate Research Group (CRG) lead, lead URD+CAR, user requirements & inverse modelling CO 2 P. Bergamaschi, M. Alexe, EC-JRC, Air and Climate Unit, IES, Ispra, Italy, User requirements and inverse modelling CH 4 T. Kaminski, M. Scholze (Lund Univ.), The Inversion Lab, Germany, User requirements CO 2 and CCDAS J. Marshall, MPI-BGC, Jena, Germany, User requirements and inverse modelling CO 2 and CH 4 P. Palmer, L. Feng, Univ. Edinburgh (UoE), UK, User requirements and inverse modelling CH 4 D. Brunner, A.-M. Sundström, EMPA, Switzerland, User requirements & inter-comparisons focus CO 2 C. Zehner, ESA/ESRIN, Frascati, Italy, ESA technical officer 2
3 ESA Climate Change Initiative (CCI) to generate Essential Climate Variables (ECVs) ESA programme led by Mark Doherty & Pascal Lecomte, ESA ECV projects: Aerosol-CCI Cloud-CCI Fire-CCI GHG-CCI - CO 2 & CH 4 Glaciers-CCI LandCover-CCI OceanColour-CCI Ozone-CCI SeaLevel-CCI SST-CCI SoilMoisture-CCI SeaIce-CCI IceSheets-CCI (Greenland, Antarctica) plus cross-ecv: Data Portal & ToolBox + CMUG (Climate Modelling User Group) Lead: Roger Saunders (Met Office Hadley Centre) Met Office Hadley Centre, ECMWF, MPI- Meteorology, Météo France, IPSL, SMHI, DLR
4 ECV GHG? Essential Climate Variable Greenhouse Gases? CO 2 and CH 4 are the two most important greenhouse gases emitted by humans & increasing atmospheric concentrations result in global warming. Observed and predicted temperature change (AR5) Future? Reliable climate prediction requires a good understanding of the natural and anthropogenic (surface) sources and sinks of CO 2 and CH 4. Important questions are, for example Where are they? How strong are they? How do they respond to a changing climate? A better understanding requires appropriate global observations and (inverse) modelling. ECV GHG (GCOS-154 *) ): Retrievals of greenhouse gases, such as CO 2 and CH 4, of sufficient quality to estimate regional sources and sinks. *) SYSTEMATIC OBSERVATION REQUIREMENTS FOR SATELLITE-BASED DATA PRODUCTS FOR CLIMATE
5 GHG-CCI project SCIAMACHY/ENVISAT Global satellite observations Global information on near-surface CO 2 & CH 4 Global observations TANSO/GOSAT (Other: OCO-2, S5P, ) Reference observations Upper layer CO 2 & CH 4 IASI, MIPAS, SCIA/occ, AIRS, ACE-FTS, Validation Calibration (L 0-1) Calibrated radiances Retrieval (L 1-2) Atmospheric GHG distributions Improved information on GHG sources & sinks Inverse modelling (L 2-4) 5
6 GHG-CCI Tasks Task 1 Requirements Management Documents incl. peer-reviewed publications Task 5 Product Assessment Annual iterative improvement cycles Task 2 Algorithm Development Data products (CRDPs) Task 4 Production Task 3 System Evolution Task 6 - Management Phase-1 Prototype 6
7 Requirements GCOS 154 (2011) GHG-CCI URD v
8 GHG-CCI: Data 8
9 CRDP3: Overview
10 Satellite XCO 2 products ESA CCI GHG-CCI SCIAMACHY & GOSAT CRDP3 10
11 Satellite XCO 2 products ESA CCI GHG-CCI SCIAMACHY & GOSAT CRDP3 EU MACC/CAMS GOSAT NRT 11
12 Satellite XCO 2 products ESA CCI GHG-CCI SCIAMACHY & GOSAT CRDP3 EU MACC/CAMS GOSAT NRT NASA OCO-2 12
13 CRDP3: XCO
14 CRDP3: XCH
15 See also /Living_Planet_Symposium/ Methane_and_carbon_dioxide_on_the_rise 15
16 CRDP3: PVIR PVIR v4 (188 pages) 16
17 Validation Example: SCIAMACHY/BESD XCO Lamont, Oklahoma, USA: 17
18 GHG-CCI: Estimates of achieved data quality (#) : CRDP#3 XCO 2 Sensor Algorithm Random error [ppm] SCIAMACHY on ENVISAT SCIAMACHY on ENVISAT TANSO on GOSAT TANSO on GOSAT SCIAMACHY & GOSAT SCIAMACHY & GOSAT TANSO on GOSAT BESD v WFMD v3.9 OCFP v6.0 (UoL-FP) SRFP v2.3.7 (RemoTeC) EMMA v2.1a EMMA v2.1b EMMA v2.1c Required G / B / T < 1 / 3 / 8 - Data quality versus required performance: XCO 2 Systematic error [ppm] < 0.2 / 0.3 / 0.5 < 1 Stability ( ) [ppm/year] / / / / / [0.01, 0.04] / / / / / / / / / / / / / / / < 0.2 / 0.3 / 0.5 < 0.2 (#) As estimated (mostly) by comparison with ground-based TCCON observations neglecting TCCON accuracy (1-sigma) of 0.4 ppm Green numbers: at least URDv2 threshold requirement fulfilled; single values random and systematic errors are 1-sigma; ( ) Long-term drift only Details (section) VAL (Sect. 3) DP (6.1.1) EMMA (6.1.5) QC/QA (7.1) VAL (3) DP (6.1.2) DP (6.1.1) EMMA (6.1.5) QC/QA (7.1) VAL (3) DP (6.1.3) EMMA (6.1.5) QC/QA (7.1) VAL (3) DP (6.1.4) EMMA (6.1.5) QC/QA (7.1) VAL (3) EMMA (6.1.5) VAL (3) EMMA (6.1.5) VAL (3) EMMA (6.1.5) /URD GHG-CCI v2/ /GCOS -154/ PVIR v4
19 Data quality versus required performance PVIR v4
20 How large is the European (*) C sink? Overview based on recent peerreviewed publications: (*) Continental / TransCom Europe New in-situ & SCIAMACHY & GOSAT in-situ & GOSAT IPCC AR5 pre-ipcc Reuter et al. (submitted) 20
21 GHG-CCI: Publications Number of peerreviewed publications using GHG-CCI data sets / GHG-CCI funding acknowledged: 53
22 CRDP3: CAR User assessments: Model comparisons, flux inversion results, : (94 pages) 22
23 CRDP3: More... data, documents, figures, animations, Animations CRDP3: -> Image Gallery Carbon Dioxide -> Image Gallery Methane Acknowledgements: Many thanks to GOSAT 3 Parties (JAXA, NIES, MOE): GOSAT Level 1 products, very good cooperation, organizing IWGGMS-12, Research conducted as part of GOSAT RA1 PI project CONSCIGO ESA for funding the GHG-CCI project and for GOSAT data via ESA Third Party Mission (TPM) ftp access ESA / DLR for SCIAMACHY Level 1 data products EU for funding the MACC(H2020) / CAMS(Copernicus) projects TCCON for TCCON products NASA / JPL / Colorado State Univ. for OCO-2 Level 2 products 23
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