This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
Mendoza, D., et al. (2013), Implications of uncertainty on regional CO2 mitigation policies for the U.S. onroad sector based on a high-resolution emissions estimate, Energy Policy, 55, 386-395, doi:10.1016/j.enpol.2012.12.027. CCEP
Meyer, V., et al. (2019), Forest degradation and biomass loss along the Chocó region of Colombia, Carbon Balance Manag., 14, 1-15, doi:10.1186/s13021-019-0117-9. CCEP
Miller, C. E., et al. (2007), Precision requirements for space-based XCO2 data, J. Geophys. Res., 112, D10314, doi:10.1029/2006JD007659. CCEP
Miller, S. M., et al. (2015), Biases in atmospheric CO2 estimates from correlated meteorology modeling errors, Atmos. Chem. Phys., 15, 2903-2914, doi:10.5194/acp-15-2903-2015. CCEP
Miller, S. M., et al. (2016), Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling, Biogeosciences, 13, 1329-1339, doi:10.5194/bg-13-1329-2016. CCEP
Miller, S. M., et al. (2016), A multi-year estimate of methane fluxes in Alaska form CARVE atmospheric observations, Global Biogeochem. Cycles, 30, 1441-1453, doi:10.1002/2016GB005419. CCEP
Miller, S. M., et al. (2019), China's coal mine methane regulations have not curbed growing emissions, Nature Communications, 10, doi:10.1038/s41467-018-07891. CCEP
Mohammeda, G. H., et al. (2019), Remote sensing of solar-induced chlorophyll fluorescence (SIF) in T vegetation: 50 years of progress, Remote Sensing of Environment, 231, 111177, doi:10.1016/j.rse.2019.04.030. CCEP
Oda, T., S. Maksyutov, and R. J. Andres (2018), The Open-source Data Inventory for Anthropogenic CO2 , version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions, Earth Syst. Sci. Data, 10, 87-107, doi:10.5194/essd-10-87-2018. CCEP
Ott, L., et al. (2015), Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA’s Carbon Monitoring Flux Pilot Project, J. Geophys. Res., 120, 734-765, doi:10.1002/2014JD022411. CCEP, MAP
Palmer, P. I., et al. (2019), Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide, Atmos. Meas. Tech., 12, 2579-2594, doi:10.5194/amt-12-2579-2019. CCEP
Parazoo, N. C., et al. (2008), Mechanisms for synoptic variations of atmospheric CO2 in North America, South America and Europe, Atmos. Chem. Phys., 8, 7239-7254, doi:10.5194/acp-8-7239-2008. CCEP
Parazoo, N. C., et al. (2012), CO2 flux estimation errors associated with moist atmospheric processes, Atmos. Chem. Phys., 12, 6405-6416, doi:10.5194/acp-12-6405-2012. CCEP
Park, C., et al. (2021), Evaluation of the Potential Use of Satellite-Derived XCO2 in Detecting CO2 Enhancement in Megacities with Limited Ground Observations: A Case Study in Seoul Using Orbiting Carbon Observatory-2. Asia-Pacific, J. Atmos. Sci., 57, 289-299, doi:10.1007/s13143-020-00202-5. , TCP, CCEP
Parker, R. J., et al. (2020), A decade of GOSAT Proxy satellite CH4 observations, Earth Syst. Sci. Data, 12, 3383-3412, doi:10.5194/essd-12-3383-2020. CCEP
Patra, P. K., et al. (2006), Sensitivity of inverse estimation of annual mean CO2 sources and sinks to ocean-only sites versus all-sites observational networks, Geophys. Res. Lett., 33, L05814, doi:10.1029/2005GL025403. CCEP
Paul-Limoges, E., et al. (2020), Partitioning evapotranspiration with concurrent eddy covariance T measurements in a mixed forest, Agricultural and Forest Meteorology, 280, 107786, doi:10.1016/j.agrformet.2019.107786. CCEP
Philip, S., et al. (2019), Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals, Atmos. Chem. Phys., 19, 13267-13287, doi:10.5194/acp-19-13267-2019. , TCP, CCEP
Philip, S., et al. (2019), Prior biosphere model impact on global terrestrial CO2 fluxes estimated 2 from OCO-2 retrievals, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2018-1095. CCEP,
Qi, W., et al. (2019), Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data, Remote Sensing of the Environment, 221, 621-634, doi:10.1016/j.rse.2018.11.035. ESI, CCEP

Pages

CSV