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)
Meng Zhou, et al. (2021), Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations, Remote Sensing of Environment, 267, 112717, doi:10.1016/j.rse.2021.112717. ASP, NIP, MAP, , ACMAP
Miles, G. M., et al. (2017), Retrieval of volcanic SO2 from HIRS/2 using optimal estimation, Atmos. Meas. Tech., 10, 2687-2702. ASP, ACMAP, UARP
Minnis, P., et al. (2005), Relationships between radiosonde and RUC-2 meteorological conditions and cloud occurrence determined from ARM data, J. Geophys. Res., 110, D23204, doi:10.1029/2005JD006005. ASP
Moon, T., et al. (2015), Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data, IEEE Trans. Geosci. Remote Sens., 53, 4328-4339, doi:10.1109/TGRS.2015.2395722. ASP
Mueller, K. J., et al. (2017), An Adjoint-Based Forecast Impact from Assimilating MISR Winds into the GEOS-5 Data Assimilation and Forecasting System, Mon. Wea. Rev., 145, 4937-4947, doi:10.1175/MWR-D-17-0047.1. ASP
Naeger, A. R., et al. (2022), Meeting Summary Revolutionary Air-Pollution Applications from Future Tropospheric Emissions: Monitoring of Pollution (TEMPO) Observations, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-21-0050.1. ASP,
Noel, V., et al. (2018), The diurnal cycle of cloud profiles over land and ocean between 51◦ S and 51◦ N, seen by the CATS spaceborne lidar from the International Space Station, Atmos. Chem. Phys., 18, 9457-9473, doi:10.5194/acp-18-9457-2018. ASP
Noyes, K. J., et al. (2022), Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign, doi:10.3390/rs12223823. ASP, ACMAP
Noyes, K. J., et al. (2022), Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging, doi:10.3390/rs12050769. ASP, ACMAP
Osmanoglu, B., et al. (2023), Benefit Assessment of Commercial Synthetic Aperture Radar Observations for NASA’s Surface Deformation and Change Mission Study.The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 225-232. ASP, ESI, CSP
Peterson, D., and J. Wang (2013), A Sub-pixel-based calculate of fire radiative power from MODIS observations: 2. Sensitivity analysis and potential fire weather application, Remote Sensing Environment, 129, 231-249, doi:10.1016/j.rse.2012.10.020. ASP, NIP, RSP
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
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. (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
Polivka, T. N., et al. (2016), Improving Nocturnal Fire Detection with the VIIRS Day-Night Band, IEEE Transactions on Geoscience &amp, Remote Sensing, 9, 5503-5519. ASP, RSP
Polivka, T. N., et al. (2016), Improving Nocturnal Fire Detection with the VIIRS Day-Night Band, IEEE Transactions on Geoscience &amp, Remote Sensing, 9, 5503-5519. ASP, RSP
Polivka, T. N., et al. (2017), Improving Nocturnal Fire Detection with the VIIRS Day-Night Band, Blank 1. ASP, RSP
Russell, P. B., et al. (2014), A Multi-Parameter Aerosol Classification Method and its Application to Retrievals from Spaceborne Polarimetry, Paper #: 2013JD021411R, J. Geophys. Res.. ASP, ACMAP
Sayer, A. M., et al. (2017), Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements, J. Geophys. Res., 122, doi:10.1002/2017JD026934. ASP, , RSP, TCP

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