Schwerdtfeger Library Publications Database

Results: Found 1678 records (displaying records 1026 through 1050)

1026. Otkin, Jason; Sieglaff, J.; Greenwald, T. and Lee, Y. K.. Using satellite observations to validate a large-scale high-resolution WRF model simulation. Boston, MA, American Meteorological Society, 2009, Abstract JP6.13.

1027. Otkin, Jason; Sieglaff, Justin; Greenwald, Tom and Huang, Allen. New large-scale model-derived proxy ABI datasets available for GOES-R research and demonstration activities. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 46.
Abstract Document Link to Abstract

1028. Otkin, Jason; Sieglaff, Justin; Greenwald, Tom and Huang, Allen. New large-scale model-derived proxy ABI datasets available for GOES-R research and demonstration activities. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 46.
Abstract Document Link to Abstract

1029. Palikonda, Rabindra; Smith, W. L. Jr.; Minnis, P.; Bedka, S. T.; Trepte, Q. Z.; Heck, P. W.; Hong, G.; Chang, F. L. and Sun-Mack, S.. GOES-16 cloud properties from the NASA LaRC SatCORPS initial results and comparisons with other data. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 8.14.

1030. Palikonda, Rabindra; Smith, W. L. Jr.; Minnis, P.; Bedka, S. T.; Trepte, Q. Z.; Heck, P. W.; Hong, G.; Chang, F. L. and Sun-Mack, S.. GOES-16 cloud properties from the NASA LaRC SatCORPS initial results and comparisons with other data. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 8.14.

1031. Parker, A. C. and Pavolonis, M. J.. The GOES-R approach to imager based sulfur dioxide detection. Washington, DC, American Geophysical Union, 2009, Abstract V31A-1950.

1032. Parker, A. C. and Pavolonis, M. J.. The GOES-R approach to imager based sulfur dioxide detection. Washington, DC, American Geophysical Union, 2009, Abstract V31A-1950.

1033. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

1034. Pavolonis, Michael. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for cloud type and cloud phase. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P2.
PDF Document Link to PDF

1035. Pavolonis, Michael. GOES-R AWG aviation team: SO2 detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

1036. Pavolonis, Michael. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for cloud type and cloud phase. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P2.
PDF Document Link to PDF

1037. Pavolonis, Michael and Calvert, Corey. GOES-R AWG aviation team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

1038. Pavolonis, Michael and Calvert, Corey. GOES-R AWG Aviation Team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1039. Pavolonis, Michael and Calvert, Corey. GOES-R AWG aviation team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

1040. Pavolonis, Michael and Calvert, Corey. GOES-R AWG Aviation Team: Fog/low cloud detection. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1041. Pavolonis, Michael and Sieglaff, Justin. Using the GOES-R AWG volcanic ash algorithm to track Eyjafjallajokull volcanic ash: Impacts on operations and research. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1042. Pavolonis, Michael and Sieglaff, Justin. GOES-R AWG Aviation Team: Volcanic ash - detection and height. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1043. Pavolonis, Michael and Sieglaff, Justin. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the GOES-R era. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 1.
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1044. Pavolonis, Michael and Sieglaff, Justin. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for volcanic ash (detection and height). Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P1.
PDF Document Link to PDF

1045. Pavolonis, Michael and Sieglaff, Justin. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the GOES-R era. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 1.
()

1046. Pavolonis, Michael and Sieglaff, Justin. Using the GOES-R AWG volcanic ash algorithm to track Eyjafjallajokull volcanic ash: Impacts on operations and research. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1047. Pavolonis, Michael and Sieglaff, Justin. GOES-R AWG Aviation Team: Volcanic ash - detection and height. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

1048. Pavolonis, Michael and Sieglaff, Justin. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for volcanic ash (detection and height). Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.P1.
PDF Document Link to PDF

1049. Pavolonis, Michael J.. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the NPOESS and GOES-R era's. Boston, MA, American Meteorological Society, 2008, Abstract P3.12.

1050. Pavolonis, Michael J.. New automated methods for detecting volcanic ash and determining mass loading from infrared radiances: Looking towards the NPOESS and GOES-R era's. Boston, MA, American Meteorological Society, 2008, Abstract P3.12.