Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide

Remote Sensing of Environment

Volumn 203, Issue , 2017, Pages 109-124

  Kaminski, T ^a   Scholze, M ^b   Vossbeck, M ^a   Knorr, W ^b   Buchwitz, M ^c   Reuter, M ^c  

^a The Inversion Lab   (Germany)

^b LUND UNIVERSITY   (Sweden)

^c UNIVERSITY OF BREMEN   (Germany)

Author keywords

Carbon fluxes; Column integrated carbon dioxide; GOSAT; SCIAMACHY; Terrestrial carbon cycle; Uncertainty estimation; Variational data assimilation

Indexed keywords

ATMOSPHERIC CHEMISTRY; ATMOSPHERIC MOVEMENTS; BIOSPHERICS; BOTTLES; CLIMATE CHANGE; CLIMATE MODELS; DIGITAL STORAGE; GREENHOUSE GASES;

CARBON CYCLES; CARBON FLUXES; COLUMN INTEGRATED CARBON DIOXIDE; CYCLE DATA; GOSAT; SCIAMACHY; TERRESTRIAL CARBON CYCLE; UNCERTAINTY; UNCERTAINTY ESTIMATION; VARIATIONAL DATA ASSIMILATION;

CARBON DIOXIDE;

ATMOSPHERE-BIOSPHERE INTERACTION; BIOMASS BURNING; BIOSPHERE; CARBON CYCLE; CARBON DIOXIDE; CARBON EMISSION; CARBON FLUX; DATA ASSIMILATION; GOSAT; PHOTOSYNTHETICALLY ACTIVE RADIATION; REMOTE SENSING; SATELLITE DATA; SCIAMACHY; SPATIOTEMPORAL ANALYSIS; TERRESTRIAL ECOSYSTEM; TERRESTRIAL ENVIRONMENT; UNCERTAINTY ANALYSIS;

AFRICA; ASIA; AUSTRALIA; BRAZIL; EUROPE; SOUTH AMERICA; UNITED STATES;

EID: 85019643532     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2017.08.017     Document Type: Article

References (64)

1. Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., Zhu, Z., Evaluating the land and ocean components of the global carbon cycle in the CMIP5 earth system models. J. Climate 26:18 (2013), 6801–6843, 10.1175/jcli-d-12-00417.1.
2. 2. Atmos. Chem. Phys. 13:17 (2013), 8695–8717, 10.5194/acp-13-8695-2013.
3. Boden, T., Marland, G., Andres, R., Global, Regional, and National Fossil-fuel CO2 Emissions. 2016, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A., 10.3334/CDIAC/00001_V2016.
4. Booth, B.B.B., Jones, C.D., Collins, M., Totterdell, I.J., Cox, P.M., Sitch, S., Huntingford, C., Betts, R.A., Harris, G.R., Lloyd, J., High sensitivity of future global warming to land carbon cycle processes. Environ. Res. Lett., 7(2), 2012, 024002.
5. Brenkert, A.L., Carbon Dioxide Emission Estimates from Fossil-fuel Burning, Hydraulic Cement Production, and Gas Flaring for 1995 on a One Degree Grid Cell basis. 1998 [Available at http://cdiac.esd.ornl.gov/ndps/ndp058a.html].
6. Buchwitz, M., Reuter, M., Schneising, O., Boesch, H., Guerlet, S., Dils, B., Aben, I., Armante, R., Bergamaschi, P., Blumenstock, T. et al., The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets. Remote Sens. Environ. 162 (2015), 344–362, 10.1016/j.rse.2013.04.024.
7. Buitenhuis, E.T., Rivkin, R.B., Sailley, S., Le Quéré, C., Biogeochemical fluxes through microzooplankton. Glob. Biogeochem. Cycles, 24(4), 2010, 10.1029/2009GB003601 GB4015 n/a–n/a.
8. 2 column retrievals. Atm. Chem. Phys. 15:19 (2015), 11133–11145, 10.5194/acp-15-11133-2015.
9. Chevallier, F., Palmer, P.I., Feng, L., Boesch, H., O'Dell, C.W., Bousquet, P., Toward robust and consistent regional CO2 flux estimates from in situ and spaceborne measurements of atmospheric CO2. Geophys. Res. Lett. 41:3 (2014), 1065–1070, 10.1002/2013GL058772 2013GL058772.
10. Chuvieco, E., Yue, C., Heil, A., Mouillot, F., Alonso-Canas, I., Padilla, M., Pereira, J.M., Oom, D., Tansey, K., A new global burned area product for climate assessment of fire impacts. Glob. Ecol. Biogeogr. 25:5 (2016), 619–629, 10.1111/geb.12440.
11. Cramer, W., Kicklighter, D.W., Bondeau, A., Iii, B.M., Churkina, G., Nemry, B., Ruimy, A., Schloss, A.L., The participants of the Potsdam NPP model intercomparison. Comparing global models of terrestrial net primary productivity (npp): overview and key results. Glob. Chang. Biol. 5:S1 (1999), 1–15, 10.1046/j.1365-2486.1999.00009.x.
12. Deng, F., Jones, D.B.A., Henze, D.K., Bousserez, N., Bowman, K.W., Fisher, J.B., Nassar, R., O'Dell, C., Wunch, D., Wennberg, P.O. et al., Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data. Atmos. Chem. Phys. 14:7 (2014), 3703–3727, 10.5194/acp-14-3703-2014.
13. Detmers, R.G., Hasekamp, O., Aben, I., Houweling, S., van Leeuwen, T.T., Butz, A., Landgraf, J., Köhler, P., Guanter, L., Poulter, B., Anomalous carbon uptake in Australia as seen by GOSAT. Geophys. Res. Lett. 42:19 (2015), 8177–8184, 10.1002/2015GL065161 2015GL065161.
14. Dlugokencky, E., Lang, P., Mund, J., Crotwell, A., Crotwell, M., Thoning, K., Atmospheric carbon dioxide dry air mole fractions from the NOAA ESRL carbon cycle cooperative global air sampling network, 1968-2015. 2016.
15. Enting, I.G., Inverse Problems in Atmospheric Constituent Transport. 2002, Cambridge University Press, Cambridge.
16. Friedl, M., Strahler, A., Hodges, J., ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001. 2010, 10.3334/ORNLDAAC/968.
17. Friedlingstein, P., Meinshausen, M., Arora, V.K., Jones, C.D., Anav, A., Liddicoat, S.K., Knutti, R., Uncertainties in CMIP5 climate projections due to carbon cycle feedbacks. J. Climate 27:2 (2014), 511–526, 10.1175/JCLI-D-12-00579.1.
18. Giglio, L., Randerson, J.T., van der Werf, G.R., Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (gfed4). J. Geophys. Res. Biogeosci. 118:1 (2013), 317–328, 10.1002/jgrg.20042.
19. Harris, I., Jones, P., Osborn, T., Lister, D., Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset. Int. J. Climatol. 34:3 (2014), 623–642, 10.1002/joc.3711.
20. Hascoët, L., Pascual, V., The Tapenade Automatic Differentiation tool: principles, model, and specification. ACM Trans. Math. Softw., 39(3), 2013.
21. Hasson, A., Delcroix, T., Boutin, J., Dussin, R., Ballabrera-Poy, J., Analyzing the 2010–2011 la nina signature in the tropical pacific sea surface salinity using in situ data, smos observations, and a numerical simulation. J. Geophys. Res. Oceans 119:6 (2014), 3855–3867, 10.1002/2013JC009388.
22. 2: first results of a model intercomparison study. Glob. Biogeochem. Cycles 12 (1998), 1–24.
23. Heimann, M., Körner, S., The global atmospheric tracer model TM3. Tech. Rep. 5, 2003, Max-Planck-Institut für Biogeochemie, Jena, Germany.
24. 2: seasonal fossil fuel emissions in CCDAS. Master's thesis, 2008, University of Bristol, UK.
25. Houweling, S., Baker, D., Basu, S., Boesch, H., Butz, A., Chevallier, F., Deng, F., Dlugokencky, E.J., Feng, L., Ganshin, A. et al., An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements. J. Geophys. Res. Atmos. 120:10 (2015), 5253–5266, 10.1002/2014JD022962.
26. Kaminski, T., Knorr, W., Rayner, P., Heimann, M., Assimilating atmospheric data into a terrestrial biosphere model: a case study of the seasonal cycle. Glob. Biogeochem. Cycles 16:4 (2002), 14-1–14-16.
27. 2 into a terrestrial vegetation model and interactive mission benefit analysis. Biogeosciences 9:8 (2012), 3173–3184, 10.5194/bg-9-3173-2012.
28. Kaminski, T., Knorr, W., Schürmann, G., Scholze, M., Rayner, P.J., Zaehle, S., Blessing, S., Dorigo, W., Gayler, V., Giering, R. et al., The BETHY/JSBACH carbon cycle data assimilation system: experiences and challenges. J. Geophys. Res. Biogeo. 118:4 (2013), 1414–1426, 10.1002/jgrg.20118.
29. Kaminski, T., Mathieu, P.-P., Reviews and syntheses: flying the satellite into your model: on the role of observation operators in constraining models of the earth system and the carbon cycle. Biogeosciences 14:9 (2017), 2343–2357, 10.5194/bg-14-2343-2017.
30. Kaminski, T., Pinty, B., Voßbeck, M., Lopatka, M., Gobron, N., Robustelli, M., Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates. Biogeosciences 14:9 (2017), 2527–2541, 10.5194/bg-14-2527-2017.
31. Kaminski, T., Rayner, P., Heimann, M., Enting, I., On aggregation errors in atmospheric transport inversions. J. Geophys. Res., 106(D5), 2001, 4703.
32. Kaminski, T., Rayner, P.J., Assisting the evolution of the observing system for the carbon cycle through quantitative network design. Biogeosci. Discuss. 2017 (2017), 1–22, 10.5194/bg-2017-168.
33. Kaminski, T., Rayner, P.J., Voßbeck, M., Scholze, M., Koffi, E., Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design. Atmos. Chem. Phys. 12:16 (2012), 7867–7879, 10.5194/acp-12-7867-2012.
34. Kaminski, T., Scholze, M., Houweling, S., Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS. Tellus B, 2010, 10.1111/j.1600-0889.2010.00483.x.
35. Kato, T., Knorr, W., Scholze, M., Veenendaal, E., Kaminski, T., Kattge, J., Gobron, N., Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in botswana. Biogeosciences 10:2 (2013), 789–802.
36. Keeling, C., Piper, S., S. I. of Oceanography. Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and oceans from 1978 to 2000, SIO reference., 2001, Scripps Institution of Oceanography, University of California, San Diego.
37. Kicklighter, D.W., Bondeau, A., Schloss, A.L., Kaduk, J., Mcguire, A.D., The participants of the Potsdam NPP model intercomparison. Comparing global models of terrestrial net primary productivity (NPP): global pattern and differentiation by major biomes. Glob. Chang. Biol. 5:S1 (1999), 16–24, 10.1046/j.1365-2486.1999.00003.x.
38. 2 exchanges of the terrestrial biosphere: Process-based simulations and uncertainties. Glob. Ecol. Biogeogr. 9:3 (2000), 225–252.
39. 2 exchange studied through an atmospheric tracer transport model. Tellus, Ser. B 47:4 (1995), 471–489.
40. Knorr, W., Heimann, M., Uncertainties in global terrestrial biosphere modeling: 1. A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme. Glob. Biogeochem. Cycles 15:1 (2001), 207–225.
41. Knorr, W., Kaminski, T., Arneth, A., Weber, U., Impact of human population density on fire frequency at the global scale. Biogeosciences 11:4 (2014), 1085–1102, 10.5194/bg-11-1085-2014.
42. Knorr, W., Kaminski, T., Scholze, M., Gobron, N., Pinty, B., Giering, R., Mathieu, P.-P., Carbon cycle data assimilation with a generic phenology model. J. Geophys. Res., 115, 2010, 10.1029/2009JG001119.
43. Kuppel, S., Peylin, P., Chevallier, F., Bacour, C., Maignan, F., Richardson, A.D., Constraining a global ecosystem model with multi-site eddy-covariance data. Biogeosciences 9:10 (2012), 3757–3776, 10.5194/bg-9-3757-2012.
44. Maksyutov, S., Takagi, H., Valsala, V.K., Saito, M., Oda, T., Saeki, T., Belikov, D.A., Saito, R., Ito, A., Yoshida, Y. et al., Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations. Atmos. Chem. Phys. 13:18 (2013), 9351–9373, 10.5194/acp-13-9351-2013.
45. Pinty, B., Clerici, M., Andredakis, I., Kaminski, T., Taberner, M., Verstraete, M.M., Gobron, N., Plummer, S., Widlowski, J.-L., Exploiting the modis albedos with the two-stream inversion package (jrc-tip): 2. fractions of transmitted and absorbed fluxes in the vegetation and soil layers. J. Geophys. Res.-Atmos., 116, 2011, D09106, 10.1029/2010JD015373.
46. Pinty, B., Lavergne, T., Voßbeck, M., Kaminski, T., Aussedat, O., Giering, R., Gobron, N., Taberner, M., Verstraete, M.M., Widlowski, J.-L., Retrieving surface parameters for climate models from MODIS-MISR albedo products. J. Geophys. Res., 112, 2007.
47. Pinty, B., Lavergne, T., Widlowski, J.-L., Gobron, N., Verstraete, M., On the need to observe vegetation canopies in the near-infrared to estimate visible light absorption. Remote Sens. Environ. 113:1 (2009), 10–23, 10.1016/j.rse.2008.08.017.
48. Raoult, N.M., Jupp, T.E., Cox, P.M., Luke, C.M., Land-surface parameter optimisation using data assimilation techniques: the adJULES system V1.0. Geosci. Model Dev. 9:8 (2016), 2833–2852, 10.5194/gmd-9-2833-2016.
49. Rayner, P., Scholze, M., Knorr, W., Kaminski, T., Giering, R., Widmann, H., Two decades of terrestrial carbon fluxes from a Carbon Cycle Data Assimilation System (CCDAS). Glob. Biogeochem. Cycles, 19, 2005, 10.1029/2004GB002254.
50. Rayner, P.J., Raupach, M.R., Paget, M., Peylin, P., Koffi, E., A new global gridded data set of CO2 emissions from fossil fuel combustion: methodology and evaluation. J. Geophys. Res. Atmos., 115(D19), 2010, 10.1029/2009JD013439 D19306 n/a–n/a.
51. 2 concentrations for surface flux inversions: the ensemble median algorithm EMMA. Atmos. Chem. Phys. Discuss. 12:9 (2012), 23195–23217, 10.5194/acpd-12-23195-2012.
52. 2 with enhanced accuracy and precision from SCIAMACHY: validation with FTS measurements and comparison with model results. JGR, 116, 2011, 10.1029/2010JD015047.
53. Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Bovensmann, H., Burrows, J.P., Houweling, S., Liu, Y.Y., Nassar, R., Chevallier, F. et al., How much CO2 is taken up by the European terrestrial biosphere?. Bull. Amer. Meteor. Soc., 0(0), 2016, 10.1175/BAMS-D-15-00310.1 null.
54. Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Schneising, O., Pillai, D., Bovensmann, H., Burrows, J.P., Bösch, H., Parker, R. et al., Satellite-inferred European carbon sink larger than expected. Atmos. Chem. Phys. 14:24 (2014), 13739–13753, 10.5194/acp-14-13739-2014.
55. Reuter, M., Hilker, M., Schneising, O., Buchwitz, M., Heymann, J., ESA Climate Change Initiative (CCI) Comprehensive Error Characterisation Report: BESD full-physics retrieval algorithm for XCO2 for the Essential Climate Variable (ECV) Greenhouse Gases (GHG) Version 2.0, revision 1. Tech. rep., 2016.
56. Saeki, T., Maksyutov, S., Saito, M., Valsala, V., Oda, T., Andres, R., Belikov, D., Tans, P., Dlugokencky, E., Yoshida, Y. et al., Inverse modeling of CO2 fluxes using GOSAT data and multi-year ground-based observations. SOLA 9 (2013), 45–50, 10.2151/sola.2013-011.
57. Scholze, M., Kaminski, T., Knorr, W., Blessing, S., Voßbeck, M., Grant, J., Scipal, K., Simultaneous assimilation of SMOS soil moisture and atmospheric CO2 in-situ observations to constrain the global terrestrial carbon cycle. Remote Sens. Environ., 2016, 334–345, 10.1016/j.rse.2016.02.058.
58. Schürmann, G.J., Kaminski, T., Köstler, C., Carvalhais, N., Voßbeck, M., Kattge, J., Giering, R., Rödenbeck, C., Heimann, M., Zaehle, S., Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0. Geosci. Model Dev. 9:9 (2016), 2999–3026, 10.5194/gmd-9-2999-2016.
59. Sitch, S., Friedlingstein, P., Gruber, N., Jones, S.D., Murray-Tortarolo, G., Ahlström, A., Doney, S.C., Graven, H., Heinze, C., Huntingford, C. et al., Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences 12:3 (2015), 653–679, 10.5194/bg-12-653-2015.
60. Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K., Tignor, M., Miller, H., IPCC, 2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. 2007.
61. Takagi, H., Houweling, S., Andres, R.J., Belikov, D., Bril, A., Boesch, H., Butz, A., Guerlet, S., Hasekamp, O., Maksyutov, S. et al., Influence of differences in current GOSAT XCO2 retrievals on surface flux estimation. Geophys. Res. Lett. 41:7 (2014), 2598–2605, 10.1002/2013GL059174 2013GL059174.
62. Takahashi, T., Wanninkhof, R.H., Feely, R.A., Weiss, R.F., Chipman, D.W., Bates, N., Olafsson, J., Sabine, C., Sutherland, S.C., Net sea-air CO2 flux over the global oceans: an improved estimate based on the sea-air pCO2 difference. Nojiri, Yukihiro, (eds.) Proceedings of the 2nd International Symposium, CO2 in the Oceans, 1999, Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan, 9–14 (ISSN 1341–4356).
63. UNFCC. Conference of the parties (cop), adoption of the Paris agreement. proposal by the president., 2015.
64. Zaehle, S., Sitch, S., Smith, B., Hatterman, F., Effects of parameter uncertainties on the modeling of terrestrial biosphere dynamics. Glob. Biogeochem. Cycles, 19(3), 2005, 10.1029/2004GB002395 GB3020.