Kristopher M. Bedka

发表

Geostationary Operational Environmental Satellite (GOES)-14 super rapid scan operations to prepare for GOES-R

Timothy J. Schmit, Steven J. Goodman, Daniel T. Lindsey, 2013 .

Development of a Method to Detect High Ice Water Content Environments Using Machine Learning

Kristopher M. Bedka, Thomas P. Ratvasky, J. Walter Strapp, 2020 .

Developing a Global Turbulence and Convection Nowcast and Forecast System

Kristopher M. Bedka, Robert Sharman, Wayne F. Feltz, 2009 .

Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data

Patrick Minnis, William L. Smith, Kristopher M. Bedka, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Development of Multi-Sensor Global Cloud and Radiance Composites for DSCOVR EPIC Imager with Subpixel Definition

Patrick Minnis, Kristopher M. Bedka, Konstantin V. Khlopenkov, 2017 .

Utilizing the precessing orbit of TRMM to produce hourly corrections of geostationary infrared imager data with the VIRS sensor

Patrick Minnis, David R. Doelling, Conor O. Haney, 2017, Optical Engineering + Applications.

CERES S'COOL PROJECT UPDATE: The Evolution and Value of a Long-Running Education Project with a Foundation in NASA Earth Science Missions.

Ann M. Martin, Kristopher M. Bedka, Lin Hartung Chambers, 2017, Bulletin of the American Meteorological Society.

Development of Pattern Recognition Algorithms to Detect Intense Convective Storms from Multispectral Satellite Imagery

Kristopher M. Bedka, Konstantin V. Khlopenkov, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Development of multi-sensor global cloud and radiance composites for earth radiation budget monitoring from DSCOVR

Patrick Minnis, Wenying Su, Kristopher M. Bedka, 2017, Remote Sensing.

Ability to quantify coherent turbulent structures in the convective boundary layer using thermodynamic profiling instruments

David D. Turner, Kristopher M. Bedka, Wayne F. Feltz, 2006 .

GOES 12 observations of convective storm variability and evolution during the Tropical Composition, Clouds and Climate Coupling Experiment field program

Patrick Minnis, Kristopher M. Bedka, K. Bedka, 2010 .

A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading Orbits. Part I: Methodology

Patrick Minnis, David R. Doelling, Benjamin R. Scarino, 2016 .

Near-Real Time Satellite-Retrieved Cloud and Surface Properties for Weather and Aviation Safety Applications

Patrick Minnis, Benjamin R. Scarino, William L. Smith, 2014 .

Demonstration of a GOES-R Satellite Convective Toolkit to “Bridge the Gap” between Severe Weather Watches and Warnings: An Example from the 20 May 2013 Moore, Oklahoma, Tornado Outbreak

Kristopher M. Bedka, Geoffrey T. Stano, Steven J. Goodman, 2016 .

A-Train observations of deep convective storm tops

Kristopher M. Bedka, Daniel T. Lindsey, K. Bedka, 2013 .

A Statistical Evaluation of GOES Cloud-Top Properties for Nowcasting Convective Initiation

Kristopher M. Bedka, John R. Mecikalski, J. Mecikalski, 2008 .

Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe

Kristopher M. Bedka, K. Bedka, 2011 .

Convectively Induced Transverse Band Signatures in Satellite Imagery

Steven A. Ackerman, Kristopher M. Bedka, Wayne F. Feltz, 2009 .

State of the Climate in 2016

W. Paul Menzel, Craig S. Long, Steven A. Ackerman, 2017 .

A Probabilistic Multispectral Pattern Recognition Method for Detection of Overshooting Cloud Tops Using Passive Satellite Imager Observations

Kristopher M. Bedka, Konstantin V. Khlopenkov, K. Bedka, 2016 .

In situ and space‐based observations of the Kelud volcanic plume: The persistence of ash in the lower stratosphere

Kristopher M. Bedka, Terry Deshler, Charles Trepte, 2016, Journal of geophysical research. Atmospheres : JGR.

Dispersion of the Nabro volcanic plume and its relation to the Asian summer monsoon

Kristopher M. Bedka, Jean-Paul Vernier, K. Bedka, 2013 .

Mountain Wave Signatures in MODIS 6.7-μm Imagery and Their Relation to Pilot Reports of Turbulence

Steven A. Ackerman, Kristopher M. Bedka, Wayne F. Feltz, 2007 .

Examining Deep Convective Cloud Evolution Using Total Lightning, WSR-88D, and GOES-14 Super Rapid Scan Datasets*

Kristopher M. Bedka, Lawrence D. Carey, Wayne F. Feltz, 2015 .

Convective cloud identification and classification in daytime satellite imagery using standard deviation limited adaptive clustering

Kristopher M. Bedka, Todd Berendes, Udaysankar S. Nair, 2008 .

Nowcasting Convective Storm Initiation Using Satellite-Based Box-Averaged Cloud-Top Cooling and Cloud-Type Trends

Kristopher M. Bedka, Michael J. Pavolonis, Andrew K. Heidinger, 2011 .

Aviation Applications for Satellite-Based Observations of Cloud Properties, Convection Initiation, In-Flight Icing, Turbulence, and Volcanic Ash

Patrick Minnis, John J. Murray, Kristopher M. Bedka, 2007 .

State of the Climate in 2014

W. Paul Menzel, Craig S. Long, Chris Derksen, 2015 .

Unfiltering Earth Radiation Budget Experiment (ERBE) Scanner Radiances Using the CERES Algorithm and Its Evaluation with Nonscanner Observations

Patrick Minnis, G. Louis Smith, Kristopher M. Bedka, 2014 .