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)
Bedka, K., and P. Minnis (2010), GOES 12 observations of convective storm variability and evolution during the Tropical Composition, Clouds and Climate Coupling Experiment field program, J. Geophys. Res., 115, D00J13, doi:10.1029/2009JD013227. RSP
Bedka, K., et al. (2010), Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients, J. Appl. Meteor. Climat., 49, 181-202, doi:10.1175/2009JAMC2286.1. ADP
Bedka, K., et al. (2010), Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients, J. Appl. Meteor. Climat., 49, 181-202, doi:10.1175/2009JAMC2286.1.
Bedka, K., et al. (2012), Validation of Satellite-Based Objective Overshooting Cloud-Top Detection Methods Using CloudSat Cloud Profiling Radar Observations, J. Appl. Meteor. Climat., 51, 1811-1822, doi:10.1175/JAMC-D-11-0131.1.
Bedka, K., et al. (2015), Examining Deep Convective Cloud Evolution Using Total Lightning, WSR-88D, and GOES-14 Super Rapid Scan Datasets. Wea. Forecasting, 30, 571-590, doi:10.1175/WAF-D-14-00062.1.
Bedka, K., et al. (2018), A Long-Term Overshooting Convective Cloud-Top Detection Database over Australia Derived from MTSAT Japanese Advanced Meteorological Imager Observations, J. Appl. Meteor. Climat., 57, 937-951, doi:10.1175/JAMC-D-17-0056.1.
Bedka, K., et al. (2018), The Above-Anvil Cirrus Plume: An Important Severe Weather Indicator in Visible and Infrared Satellite Imagery, Wea. Forecasting, 33, 1159-1181, doi:10.1175/WAF-D-18-0040.1.
Bedka, K., et al. (2019), Analysis and Automated Detection of Ice Crystal Icing Conditions Using Geostationary Satellite Datasets and In Situ Ice Water Content Measurements, SAE Technical Paper, 2019-01-1953, 2019, doi:10.4271/2019-01-1953. ADP
Bedka, K., et al. (2019), Analysis and Automated Detection of Ice Crystal Icing Conditions Using Geostationary Satellite Datasets and In Situ Ice Water Content Measurements, SAE Technical Paper, 2019-01-1953, 2019, doi:10.4271/2019-01-1953. ADP
Bedka, K., et al. (2021), Airborne lidar observations of wind, water vapor, and aerosol profiles during the NASA Aeolus calibration and validation (Cal/Val) test flight campaign, Atmos. Meas. Tech., 14, 4305-4334, doi:10.5194/amt-14-4305-2021.
Bedka, S., et al. (2013), Properties of linear contrails in the Northern Hemisphere derived from 2006 Aqua MODIS observations, Geophys. Res. Lett., 40, 1-6, doi:10.1029/2012GL054363. RSP
Behrangi, A., et al. (2012), On the quantification of oceanic rainfall using spaceborne sensors, J. Geophys. Res., 117, D20105, doi:10.1029/2012JD017979.
Behrangi, A., et al. (2014), An Update on the Oceanic Precipitation Rate and Its Zonal Distribution in Light of Advanced Observations from Space, J. Climate, 27, 3957-3965, doi:10.1175/JCLI-D-13-00679.1.
Behrangi, A., et al. (2014), What does CloudSat reveal about global land precipitation detection by other spaceborne sensors?, Water Resour. Res., 50, 4893-4905, doi:10.1002/2013WR014566.
Behrangi, A., et al. (2014), Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins, J. Appl. Meteor. Climat., 53, 2823-2842, doi:10.1175/JAMC-D-14-0056.1.
Behrangi, A., et al. (2016), Status of high-latitude precipitation estimates from observations and reanalyses, J. Geophys. Res., 121, 4468-4486, doi:10.1002/2015JD024546.
Behrangi, A., S. P. F. Casey, and B. Lambrigtsen (2012), Three-dimensional distribution of cloud types over the USA and surrounding areas observed by CloudSat, (Online) Journal homepage, 1366-5901, doi:10.1080/01431161.2011.639404.
Behrangi, A., T. L. Kubar, and B. Lambrigtsen (2012), Phenomenological Description of Tropical Clouds Using CloudSat Cloud Classification, Mon. Wea. Rev., 140, 3235-3249, doi:10.1175/MWR-D-11-00247.1.
Behrend, D., et al. (2020), On the organization of CONT17, Journal of Geodesy, 94, 100, doi:10.1007/s00190-020-01436-x. ESI
Behrenfeld, M., et al. (2019), The North Atlantic Aerosol and Marine Ecosystem Study (NAAMES): Science Motive and Mission Overview, Front. Mar. Sci., 6, 122, doi:10.3389/fmars.2019.00122.

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