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)
Mccoy, D. T., et al. (2017), The Change in Low Cloud Cover in a Warmed Climate Inferred from AIRS, MODIS, and ERA-Interim, J. Climate, 30, 3609-3620, doi:10.1175/JCLI-D-15-0734.1. IDS
Michalak, A. M. (2008), Technical Note: Adapting a fixed-lag Kalman smoother to a geostatistical atmospheric inversion framework, Atmos. Chem. Phys., 8, 6789-6799, doi:10.5194/acp-8-6789-2008. IDS, MAP
Michalak, A. M. (2013), Atmospheric observations and inverse modeling approaches for identifying geographical sources and sinks of carbon. IDS, MAP
Midzak, N., et al. (2022), Constrained Retrievals of Aerosol Optical Properties Using Combined Lidar and Imager Measurements During the FIREX-AQ Campaign, Front. Remote Sens., 3, 818605, doi:10.3389/frsen.2022.818605. IDS, RSP
Mueller, K. L., et al. (2010), Attributing the variability of eddy‐covariance CO2 flux measurements across temporal scales using geostatistical regression for a mixed northern hardwood forest, Global Biogeochem. Cycles, 24, GB3023, doi:10.1029/2009GB003642. IDS, MAP
Mueller, K. L., S. M. Gourdji, and A. M. Michalak (2008), Global monthly averaged CO2 fluxes recovered using a geostatistical inverse modeling approach: 1. Results using atmospheric measurements, J. Geophys. Res., 113, D21114, doi:10.1029/2007JD009734. IDS, MAP
mylene.jacquemart, C. M. J., and colorado.edu) (2023), Leveraging time series analysis of radar coherence and normalized difference vegetation index ratios to characterize pre-failure activity of the Mud Creek landslide, California Mylène Jacquemart and Kristy Tiampo Cooperative Institute for Research in Envi, Nat. Hazards Earth Syst. Sci., 21, 629-642, doi:10.5194/nhess-21-629-2021. IDS
Pan, X., et al. (2018), Connecting Indonesian Fires and Drought With the Type of El Niño and Phase of the Indian Ocean Dipole During 1979–2016, J. Geophys. Res., 123, 7974-7988, doi:10.1029/2018JD028402. IDS, ACMAP
Parshall, L., et al. (2010), Modeling Energy Consumption and CO2 Emissions at the Urban Scale: Methodological Challenges and Insights from the United States, Energy Policy, 38 (9), 4765-4782, doi:10.1016/j.enpol.2009.07.006. IDS
Peterson, D., E. Hyer, and J. Wang (2013), Short communication A short-term predictor of satellite-observed fire activity in the North American boreal forest: Toward improving the prediction of smoke emissions, Atmos. Environ., 71, 304-310, doi:10.1016/j.atmosenv.2013.01.052. ASP, IDS, NIP
Peterson, D., E. Hyer, and J. Wang (2014), Quantifying the potential for high-altitude smoke injection in the North American boreal forest using the standard MODIS fire products and subpixel-based methods, J. Geophys. Res., 119, 3401-3419, doi:10.1002/2013JD021067. ASP, ACMAP, IDS, RSP, TCP
Peterson, D., et al. (2010), Effects of lightning and other meteorological factors on fire activity in the North American boreal forest: implications for fire weather forecasting, Atmos. Chem. Phys., 10, 6873-6888, doi:10.5194/acp-10-6873-2010. ACMAP, IDS, RSP
Peterson, D., et al. (2013), A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment, Remote Sensing of Environment, 129, 262-279, doi:10.1016/j.rse.2012.10.036. ASP, IDS, NIP, RSP
Policelli, F., et al. (2018), Lake Chad Total Surface Water Area as Derived from Land Surface Temperature and Radar Remote Sensing Data, Remote Sensing, 10, doi:10.3390/rs10020252. IDS, RSP
Ray, R., and M. A. Merrifield (2019), The Semiannual and 4.4-Year Modulations of Extreme High Tides, J. Geophys. Res.. POP, IDS
Reid, J. S., et al. (2022), A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode, Evaluation of the Fine and Coarse Mode. Remote Sens., 14, 2978, doi:10.3390/rs14132978. IDS, RSP
Reid, J. S., et al. (2022), EXTREME BIOMASS BURNING SMOKE, Community Challenges And Prospects In The Operational Forecasting Of, doi:10.1109/IGARSS47720.2021.9555160. IDS, RSP
Reid, J., et al. (2004), Real-time monitoring of South American smoke particle emissions and transport using a coupled remote sensing//box-model approach, Geophys. Res. Lett., 31, L06107, doi:10.1029/2003GL018845. IDS
Reid, J., et al. (2009), Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program, Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 2, 144-162, doi:10.1109/JSTARS.2009.2027443. IDS
Reid, J., et al. (2012), Multi-scale meteorological conceptual analysis of observed active fire hotspot activity and smoke optical depth in the Maritime Continent, Atmos. Chem. Phys., 12, 2117-2147, doi:10.5194/acp-12-2117-2012. IDS

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