Schwerdtfeger Library Publications Database

Results: Found 6542 records (displaying records 4001 through 4025)

4001. 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.

4002. 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.

4003. 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.

4004. 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.

4005. 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

4006. 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

4007. 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.

4008. 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.

4009. 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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4010. 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

4011. 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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4012. 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.

4013. 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.

4014. 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

4015. Pavolonis, Michael J.. ProbSevere a new tool for NWS servere weather warning operations. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.

4016. 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.

4017. 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.

4018. 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

4019. Pavolonis, Michael J.. Antarctic cloud radiative forcing at the surface estimated from the ISCCP D1 and AVHRR polar pathfinder dtaa sets, 1985-1993. Madison, WI, University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, 2002. Call Number: UW MET Publication No.02.05.P1.

4020. 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.

4021. 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.

4022. 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

4023. 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

4024. Pavolonis, Michael J.. Antarctic cloud radiative forcing at the surface estimated from the ISCCP D1 and AVHRR polar pathfinder dtaa sets, 1985-1993. Madison, WI, University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, 2002. Call Number: UW MET Publication No.02.05.P1.

4025. 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.