The seasonal variation of the CO2 flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI

Geophysical Research Letters

Volumn 41, Issue 5, 2014, Pages 1809-1815

  Basu, S ^a,b,c   Krol, M ^a,c,d   Butz, A ^e   Clerbaux, C ^f   Sawa, Y ^g   Machida, T ^h   Matsueda, H ^g   Frankenberg, C ⁱ   Hasekamp, O P ^a   Aben, I ^a  

^a SRON NETHERLANDS INSTITUTE FOR SPACE RESEARCH   (Netherlands)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UTRECHT UNIVERSITY   (Netherlands)

^d WAGENINGEN UNIVERSITY   (Netherlands)

^e KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^f SORBONNE UNIVERSITÉ   (France)

^g METEOROLOGICAL RESEARCH INSTITUTE   (Japan)

^h NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

ⁱ CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

CONTRAIL; GOSAT; IASI; inverse modeling; Tropical Asia

Indexed keywords

BIOSPHERICS; ESTIMATION; INVERSE PROBLEMS; SURFACE MEASUREMENT; TROPICS;

CONTRAIL; GOSAT; IASI; INVERSE MODELING; TROPICAL ASIA;

CARBON DIOXIDE;

BIOMASS BURNING; CARBON DIOXIDE; FLUX MEASUREMENT; GOSAT; IASI; IN SITU MEASUREMENT; INVERSE ANALYSIS; SEASONAL VARIATION; TRACE GAS; TROPICAL ENVIRONMENT;

ASIA;

EID: 84895856326     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2013GL059105     Document Type: Article

References (26)

1. Adler, R. F., et al. (2003), The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present), J. Hydrometeorol., 4 (6), 1147-1167, doi: 10.1175/1525-7541(2003)004<1147: TVGPCP>2.0.CO;2.
2. 2, Atmos. Chem. Phys., 13, 8695-8717, doi: 10.5194/acpd-13-4535-2013.
3. 2 from simulated space-borne measurements of backscattered near-infrared sunlight: Accounting for aerosol effects, Appl. Opt., 48 (18), 3322-3336, doi: 10.1364/AO.48.003322.
4. 2 sources and sinks: Theoretical study in a variational data assimilation framework, J. Geophys. Res., 112, D09307, doi: 10.1029/ 2006JD007375.
5. Christian, T., B. Kleiss, R. Yokelson, R. Holzinger, P. Crutzen, W. Hao, B. Saharjo, and, D. Ward, (2003), Comprehensive laboratory measurements of biomass-burning emissions: 1. Emissions from Indonesian, African, and other fuels, J. Geophys. Res., 108 (D23), 4719, doi: 10.1029/2003JD003704.
6. Fan, Y., and, H. van den Dool, (2008), A global monthly land surface air temperature analysis for 1948-present, J. Geophys. Res., 113, D01103, doi: 10.1029/2007JD008470.
7. Fortems-Cheiney, A., et al. (2009), On the capability of IASI measurements to inform about CO surface emissions, Atmos. Chem. Phys., 9 (22), 8735-8743, doi: 10.5194/acp-9-8735-2009.
8. Frankenberg, C., et al. (2011), New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity, Geophys. Res. Lett., 38, L17706, doi: 10.1029/ 2011GL048738.
9. Gatti, L. V., et al. (2014), Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements, Nature, 506 (7486), 76-80.
10. George, M., et al. (2009), Carbon monoxide distributions from the IASI/METOP mission: Evaluation with other space-borne remote sensors, Atmos. Chem. Phys., 9 (21), 8317-8330, doi: 10.5194/acp-9-8317-2009.
11. Guerlet, S., S. Basu, A. Butz, M. C. Krol, P. Hahne, S. Houweling, O. P. Hasekamp, and, I. Aben, (2013a), Reduced carbon uptake during the 2010 Northern Hemisphere summer as observed from GOSAT, Geophys. Res. Lett., 40, 2378-2383, doi: 10.1002/grl.50402.
12. 2 from GOSAT shortwave infrared measurements, J. Geophys. Res. Atmos., 118, 4887-4905, doi: 10.1002/jgrd.50332.
13. Hurtmans, D., P. -F. Coheur, C. Wespes, L. Clarisse, O. Scharf, C. Clerbaux, J. Hadji-Lazaro, M. George, and, S. Turquety, (2012), FORLI radiative transfer and retrieval code for IASI, J. Quant. Spectrosc. Radiat. Transfer, 113 (11), 1391-1408, doi: 10.1016/j.jqsrt.2012.02.036.
14. Krol, M., S. Houweling, B. Bregman, M. van den Broek, A. Segers, P. van Velthoven, W. Peters, F. Dentener, and, P. Bergamaschi, (2005), The two-way nested global chemistry-transport zoom model TM5: Algorithm and applications, Atmos. Chem. Phys., 5 (2), 417-432, doi: 10.5194/acp-5-417-2005.
15. Krol, M., et al. (2013), How much CO was emitted by the 2010 fires around Moscow?, Atmos. Chem. Phys., 13 (9), 4737-4747, doi: 10.5194/acp-13-4737-2013.
16. Kuze, A., H. Suto, M. Nakajima, and, T. Hamazaki, (2009), Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring, Appl. Opt., 48 (35), 6716-6733, doi: 10.1364/AO.48.006716.
17. 2 and other trace gas species using commercial airlines, J. Atmos. Oceanic Technol., 25 (10), 1744-1754, doi: 10.1175/2008JTECHA1082.1.
18. Mu, M., et al. (2011), Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide, J. Geophys. Res., 116, D24303, doi: 10.1029/2011JD016245.
19. Navon, I. M., and, D. M. Legler, (1987), Conjugate-gradient methods for large-scale minimization in meteorology, Mon. Weather Rev., 115, 1479-1502.
20. 2 fluxes using passenger aircraft based measurements, J. Geophys. Res., 117, D11303, doi: 10.1029/2012JD017474.
21. Novelli, P., and, K. Masarie, (2013), Atmospheric carbon monoxide dry air mole fractions from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network, 1988-2012, version: 2013-06-18.
22. 2 measurements, Atmos. Chem. Phys., 11 (9), 4163-4175, doi: 10.5194/acp-11-4163-2011.
23. 2 concentration data in surface source inversions, Geophys. Res. Lett., 28 (1), 175-178, doi: 10.1029/2000GL011912.
24. 2 in the upper atmosphere, J. Geophys. Res., 117, D05305, doi: 10.1029/2011JD016933.
25. van der Werf, G. R., et al. (2010), Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009), Atmos. Chem. Phys., 10 (23), 11,707-11,735, doi: 10.5194/acp-10-11707-2010.
26. van Leeuwen, T. T., and, G. R. van der Werf, (2011), Spatial and temporal variability in the ratio of trace gases emitted from biomass burning, Atmos. Chem. Phys., 11 (8), 3611-3629, doi: 10.5194/acp-11-3611-2011.