Schwerdtfeger Library Publications Database

Results: Found 17234 records (displaying records 11001 through 11025)

11001. 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.

11002. 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.

11003. Pavolonis, Michael and Heidinger, A. K.. The retrieval of cloud height and emissivity from passive measurements: Comparison of techniques. Boston, MA, American Meteorological Society, 2006, Abstract P4.6.

11004. Pavolonis, Michael and Heidinger, A. K.. The retrieval of cloud height and emissivity from passive measurements: Comparison of techniques. Boston, MA, American Meteorological Society, 2006, Abstract P4.6.

11005. Pavolonis, Michael and Parker, Andrew. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for SO2 detection. Version 1.0. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2010. Call Number: UW SSEC Publication No.10.09.P3.
PDF Document Link to PDF

11006. Pavolonis, Michael and Parker, Andrew. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for SO2 detection. Version 1.0. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2010. Call Number: UW SSEC Publication No.10.09.P3.
PDF Document Link to PDF

11007. 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.

11008. 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.

11009. 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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11010. 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

11011. 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.
()

11012. 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.

11013. 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.

11014. 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

11015. Pavolonis, Michael J.. ProbSevere a new tool for NWS servere weather warning operations. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.

11016. Pavolonis, Michael J.. From 'Big Data' to information: Volcanic, convective, and ceiling/visibility applications for OCONUS operations. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation.

11017. 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.

11018. Pavolonis, Michael J.. Advances in extracting cloud composition information from spaceborne infrared radiances - A robust alternative to brightness temperatures, part 1: Theory. Journal of Applied Meteorology and Climatology, Volume: 49, Issue: 9, 2010, pp.1992-2012. Reprint # 6348.
PDF Document Link to PDF

11019. Pavolonis, Michael J.. Cloud phase determination using infrared absorption optical depth ratios. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2011, abstract.

11020. 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.

11021. Pavolonis, Michael J.. Advances in extracting cloud composition information from spaceborne infrared radiances - A robust alternative to brightness temperatures, part 1: Theory. Journal of Applied Meteorology and Climatology, Volume: 49, Issue: 9, 2010, pp.1992-2012. Reprint # 6348.
PDF Document Link to PDF

11022. Pavolonis, Michael J.. GOES-R user testimonials: Research perspective. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation.
PDF Document Link to PDF

11023. Pavolonis, Michael J.. Cloud phase determination using infrared absorption optical depth ratios. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2011, abstract.

11024. Pavolonis, Michael J.. ProbSevere a new tool for NWS servere weather warning operations. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.

11025. Pavolonis, Michael J.. From 'Big Data' to information: Volcanic, convective, and ceiling/visibility applications for OCONUS operations. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation.