Kristopher Bedka

Organization

NASA Langley Research Center

First Author Publications

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, 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.
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.
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. (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., and K. Khlopenkov (2016), A Probabilistic Multispectral Pattern Recognition Method for Detection of Overshooting Cloud Tops Using Passive Satellite Imager Observations, J. Appl. Meteor. Climat., 55, 1983-2005, doi:10.1175/JAMC-D-15-0249.1.
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. (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. (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., 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.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Homeyer, C., et al. (2023), Extreme Altitudes of Stratospheric Hydration by Midlatitude Convection Observed During the DCOTSS Field Campaign, Geophys. Res. Lett..
Khlopenkov, K., et al. (2022), Recent Advances in Detection of Overshooting Cloud Tops From Longwave Infrared Satellite Imagery, J. Geophys. Res..
Vernier, ., et al. (2022), Exploring the inorganic composition of the Asian Tropopause Aerosol Layer using medium-duration balloon flights, Atmos. Chem. Phys., 22, 12675-12694, doi:10.5194/acp-22-12675-2022.
Sandmæl, T.N., et al. (2020), Evaluating the Ability of Remote Sensing Observations to Identify Significantly Severe and Potentially Tornadic Storms, J. Appl. Meteor. Climat., doi:10.1175/JAMC-D-18-0241.1.
Clapp, C., et al. (2019), Identifying source regions and the distribution of cross‐tropopause convective outflow over North America during the warm season, J. Geophys. Res., 124, 13750-, doi:10.1029/2019JD031382.
Trepte, ., et al. (2019), Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data, IEEE Trans. Geosci. Remote Sens., 57, 9410-9449, doi:10.1109/TGRS.2019.2926620.
Apke, J.M., et al. (2018), Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector-Derived Flow, Mon. Wea. Rev., 146, 3461-3480, doi:10.1175/MWR-D-18-0119.1.
Yost, C.R., et al. (2018), A prototype method for diagnosing high ice water content probability using satellite imager data, Atmos. Meas. Tech., 11, 1615-1637, doi:10.5194/amt-11-1615-2018.
Herman, R.L., et al. (2017), Enhanced stratospheric water vapor over the summertime continental United States and the role of overshooting convection, Atmos. Chem. Phys., 17, 6113-6124, doi:10.5194/acp-17-6113-2017.
Homeyer, C., et al. (2017), On the Development of Above-Anvil Cirrus Plumes in Extratropical Convection, J. Atmos. Sci., 74, 1617-1633, doi:10.1175/JAS-D-16-0269.1.
Khlopenkov, K., et al. (2017), Development of Multi-Sensor Global Cloud and Radiance Composites for Earth Radiation Budget Monitoring from DSCOVR. Proc. SPIE Conf. Remote Sens. Clouds and the Atmos. XXII, Warsaw, Poland, 10424-19, 11-14, doi:10.1117/12.2278645.
Punge, H.J., et al. (2017), Hail frequency estimation across Europe based on a combination of overshooting top detections and the ERA-Interim reanalysis, Atmos. Res., 198, 34-43.
Scarino, B., et al. (2017), Global clear-sky surface skin temperature from multiple satellites using a single-channel algorithm with angular anisotropy corrections, Atmos. Meas. Tech., 10, 351-371, doi:10.5194/amt-10-351-2017.
Smith, J.B., et al. (2017), A case study of convectively sourced water vapor observed in the overworld stratosphere over the United States, J. Geophys. Res., 122, 9529-9554, doi:10.1002/2017JD026831.
Bhatt, R., et al. (2016), A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part I: Methodology, J. Atmos. Oceanic Technol., 33, 2499-2515, doi:10.1175/JTECH-D-16-0044.1.
Doelling, D., et al. (2016), A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part II: Validation, J. Atmos. Oceanic Technol., 33, 2517-2534, doi:10.1175/JTECH-D-16-0042.1.
Jean-Paul, J.J., et al. (2016), In situ and space-based observations of the Kelud volcanic plume: The persistence of ash in the lower stratosphere, J. Geophys. Res., 121, 11,104-11,118, doi:10.1002/2016JD025344.
Fairlie, T.D., et al. (2014), Dispersion of the Nabro volcanic plume and its relation to the Asian summer monsoon, Atmos. Chem. Phys., 14, 7045-7057, doi:10.5194/acp-14-7045-2014.
Shrestha, A.K., et al. (2014), Unfiltering Earth Radiation Budget Experiment (ERBE) Scanner Radiances Using the CERES Algorithm and Its Evaluation with Nonscanner Observations, J. Atmos. Oceanic Technol., 31, 843-859, doi:10.1175/JTECH-D-13-00072.1.
Minnis, P., et al. (2013), Linear contrail and contrail cirrus properties determined from satellite data, Geophys. Res. Lett., 40, 3220-3226, doi:10.1002/grl.50569.
Jean-Paul, J.J., et al. (2013), Comment on “Large Volcanic Aerosol Load in the Stratosphere Linked to Asian Monsoon Transport”, Science, 339, 647-d, doi:10.1126/science.1227817.
Mecikalski, J., et al. (2007), Aviation Applications for Satellite-Based Observations of Cloud Properties, Convection Initiation, In-Flight Icing, Turbulence, and Volcanic Ash, Bull. Am. Meteorol. Soc., 1589-1607, doi:10.1175/BAMS-88-10-1589.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Kristopher Bedka

National Aeronautics and Space Administration

National Aeronautics and
Space Administration