Pawson, Steven: NASA GSFC GMAO (Project Lead)
Baker, David: CIRA/Colorado State University (Co-Investigator)
Gregg, Watson: NASA GSFC (Co-Investigator)
Kawa, Stephan (Randy): NASA GSFC (Co-Investigator)
Oda, Tomohiro (Tom): USRA (Co-Investigator)
Rousseaux, Cecile: NASA GSFC (Co-Investigator)
O'Dell, Christopher (Chris): Colorado State University (Participant)
Schuh, Andrew: Colorado State University (Participant)
Weir, Brad: NASA GSFC GMAO / GESTAR USRA (Participant)
Project Funding:
2012 - 2014
NRA: 2011 NASA: Carbon Monitoring System
Funded by NASA
Abstract:
This proposal is for a continuation of NASA GSFC s activities related to the Carbon Monitoring System, Flux Pilot Study (CMS FPP). The work will enhance and develop the capabilities of NASA s Goddard Earth Observing System (GEOS) set of models and assimilation components to further develop a core capability for CMS-related carbon cycle science and monitoring. The work consists of three components: (i) continuation of past work to compute atmosphere-ocean and atmosphere-land biosphere fluxes, as well as their evaluation using forward modeling in GEOS-5; (ii) enhancements of GEOS-5 for carbon monitoring, including a model study of the intermingling of uncertainties in anthropogenic and land-biospheric carbon emissions, and development of an enhanced assimilation capability to include multiple space-borne CO2 estimates (from AIRS and ACOS-GOSAT); (iii) a focused activity that examines aspects related to top-down (inverse) estimates of carbon fluxes. The latter effort will include a controlled comparison of three inverse estimates, including the one from CMS FPP, that use the same input data but use different methods. It also includes the implementation and application of a Lagrangian particle dispersion model to compute global footprints of GOSAT observations. Further, substantial new developments will be implemented into an existing variation inversion system. The work proposed in GEOS-CARB will implement and adapt various modeling and analysis tools, linking them closely with GEOS-5 systems available in the Global Modeling and Assimilation Office, in order to better exploit NASA s carbon-relevant observations for monitoring and understanding the global carbon cycle. The development work will leave NASA with enhanced modeling and analysis tools for carbon-cycle monitoring using space-based observations. These tools will be used to address some of the research questions that have arisen in the course of CMS FPP, with a strong emphasis on characterizing uncertainty in CO2 flux computations.
Publications:
Ott, L. E., Pawson, S., Collatz, G. J., Gregg, W. W., Menemenlis, D., Brix, H., Rousseaux, C. S., Bowman, K. W., Liu, J., Eldering, A., Gunson, M. R., Kawa, S. R. 2015. Assessing the magnitude of CO2flux uncertainty in atmospheric CO2records using products from NASA's Carbon Monitoring Flux Pilot Project. Journal of Geophysical Research: Atmospheres. 120(2), 734-765. DOI: 10.1002/2014JD022411
Gregg, W. W., Casey, N. W., Rousseaux, C. S. 2014. Sensitivity of simulated global ocean carbon flux estimates to forcing by reanalysis products. Ocean Modelling. 80, 24-35. DOI: 10.1016/j.ocemod.2014.05.002
Gregg, W. W., N. W. Casey, and C. S. Rousseaux, 2013, Global surface ocean carbon estimates in a model forced by MERRA, NASA Technical Report Series on Global Modeling and Data Assimilation, NASA TM-2013-104606, Vol. 31, 39 pp.
Oda, T., Maksyutov, S. 2011. A very high-resolution (1 kmx1 km) global fossil fuel CO<sub>2</sub> emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics. 11(2), 543-556. DOI: 10.5194/acp-11-543-2011
More details may be found in the following project profile(s):
