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Funded Research

Regional Inverse Modeling in North and South America for the NASA Carbon Monitoring System--Follow-on

Andrews, Arlyn: NOAA Earth System Research Laboratory (Project Lead)
Hu, Lei: NOAA / CIRES (Co-Investigator)
Michalak, Anna: Carnegie Institution for Science (Co-Investigator)
Miller, John: NOAA Global Monitoring Laboratory (Co-Investigator)
Mountain, Marikate: Atmospheric and Environmental Research Inc. (AER) (Co-Investigator)
Nehrkorn, Thomas: AER, Inc (Co-Investigator)
Crowell, Sean: LumenUs Scientific, LLC (Collaborator)
Davis, Kenneth (Ken): The Pennsylvania State University (Collaborator)
Kaushik, Aleya: NOAA GML/CU CIRES (Collaborator)
Lauvaux, Thomas: LSCE (Collaborator)
O'Dell, Christopher (Chris): Colorado State University (Collaborator)
Sweeney, Colm: NOAA GML (Collaborator)
Islam, S M Nazrul (Nazrul): NOAA / CIRES (Post-Doc)

Project Funding: 2017 - 2020

NRA: 2016 NASA: Carbon Monitoring System   

Funded by NASA

Abstract:
We propose to extend our regional modeling for the Carbon Monitoring System (CMS) to estimate North American CO2 fluxes through mid-2018 in order to take advantage of new datasets with a focus on improving uncertainty quantification. CarbonTracker- Lagrange (CT-Lagrange) is a high-resolution regional inverse modeling framework used to quantify CO2 fluxes on regional-to-continental scales that was originally developed to analyze in situ measurements from the North American Carbon Program. Under previous CMS-funded efforts we have added footprints (surface influence functions) for NASA remote sensing datasets including ACOS-GOSAT, TCCON, and OCO-2, and we have developed strategies to investigate consistency among in situ and remote sensing datasets and for combining in situ and remote sensing data for flux estimation. Footprints (surface influence functions) for over 5 million ground-based, airborne, and satellite measurements have been computed and made freely available to the research community. Here we propose to: (1) estimate North American fluxes using the first few years of OCO-2 data by extending the CT-Lagrange footprint library, (2) investigate errors in estimated fluxes, with particular attention to errors in simulated atmospheric transport by leveraging independent data and modeling activities from the NASA Atmospheric Carbon and Transport – America (ACT-America) and (3) conduct a set of continental- scale Observation System Simulation Experiments in preparation for analysis of data from the newly announced Geostationary Carbon Cycle Observatory (GeoCarb) mission. Our project will make extensive use of NASA assets, including OCO-2 and TCCON XCO¬2, and solar-induced chlorophyll fluorescence retrievals from OCO-2 and ESA’s GOME-2. We will also use and evaluate NASA model products (e.g., MERRA transport fields and CMS flux products), thus strengthening links between CMS and NOAA’s CarbonTracker effort and supporting the development of an integrated Carbon Monitoring System. The proposed work will further develop strategies for incorporating diverse CO2 observations into CMS flux products and for quantifying fluxes and their uncertainties at scales relevant for understanding carbon cycle processes and for Monitoring, Reporting and Verification (MRV).

Publications:

Foster, K. T., Sun, W., Shiga, Y. P., Mao, J., Michalak, A. M. 2024. Multiscale assessment of North American terrestrial carbon balance. Biogeosciences. 21(3), 869-891. DOI: 10.5194/bg-21-869-2024

Hu, L., Andrews, A. E., Thoning, K. W., Sweeney, C., Miller, J. B., Michalak, A. M., Dlugokencky, E., Tans, P. P., Shiga, Y. P., Mountain, M., Nehrkorn, T., Montzka, S. A., McKain, K., Kofler, J., Trudeau, M., Michel, S. E., Biraud, S. C., Fischer, M. L., Worthy, D. E. J., Vaughn, B. H., White, J. W. C., Yadav, V., Basu, S., van der Velde, I. R. 2019. Enhanced North American carbon uptake associated with El Nino. Science Advances. 5(6). DOI: 10.1126/sciadv.aaw0076

Miller, S. M., Michalak, A. M. 2020. The impact of improved satellite retrievals on estimates of biospheric carbon balance. Atmospheric Chemistry and Physics. 20(1), 323-331. DOI: 10.5194/acp-20-323-2020

Sun, W., Luo, X., Fang, Y., Shiga, Y. P., Zhang, Y., Fisher, J. B., Keenan, T. F., Michalak, A. M. 2023. Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations. Nature Ecology & Evolution. DOI: 10.1038/s41559-023-02093-x


More details may be found in the following project profile(s):