Schwerdtfeger Library Publications Database

Results: Found 8662 records (displaying records 5451 through 5475)

5451. Otkin, Jason A.; Zhong, Yafang; Lorenz, David; Anderson, Martha C. and Hain, Christopher. Exploring seasonal and regional relationships between the Evaporative Stress Index and surface weather and soil moisture anomalies across the United States. Hydrology and Earth System Sciences, Volume: 22, Issue: 10, 2018, pp.5373-5386. Reprint # 8355.
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5452. Otkin, Jason and Greenwald, Thomas. An intercomparison study of MODIS-derived and WRF-simulated cloud data. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, poster presentation.
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5453. Otkin, Jason; Anderson, M. C.; Hain, C. and Svoboda, M. D.. Temporal changes in drought indices used to provide early warning of drought development over sub-seasonal time scales. Boston, MA, American Meteorological Society, 2015, Abstract 11.2.

5454. Otkin, Jason; Anderson, Martha; Basara, Jeffrey; Shafer, Mark; Svobada, Mark and Wardlow, Brian. Facilitating adaptive management under conditions of rapid drought onset using the GOES-based Evaporative Stress Index. Year 2 project report on NOAA grant no.NA13OAR4310122 for the period June 2014-May 2015. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2015. Call Number: UW SSEC Publication No.15.05.O2.
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5455. Otkin, Jason; Anderson, Martha; Basara, Jeffrey; Shafer, Mark; Svobada, Mark and Wardlow, Brian. Facilitating adaptive management under conditions of rapid drought onset using the GOES-based Evaporative Stress Index. Year 1 project report on NOAA grant no.NA13OAR4310122 for the period 1 September 2013-31 May 2014. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2014. Call Number: UW SSEC Publication No.14.05.O1.
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5456. Otkin, Jason; Anderson, Martha; Svoboda, Mark and Hain, Chris. Development of probabilistic drought intensificatino forecasts using the GOES-based Evaporative Stress Indes. Project report on NOAA grant no.NA14OAR4310226 for the period 1 September 2014-31 May 2015. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2015. Call Number: UW SSEC Publication No.15.05.O1.
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5457. Otkin, Jason; Anderson, Martha; Svoboda, Mark and Hain, Chris. Development of probabilistic drought intensificatino forecasts using the GOES-based Evaporative Stress Indes. Project report on NOAA grant no.NA14OAR4310226 for the period June 2015-May 2016. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2016. Call Number: UW SSEC Publication No.16.05.O1.
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5458. Otkin, Jason; Anderson, Martha; Svoboda, Mark and Hain, Chris. Development of probabilistic drought intensificatino forecasts using the GOES-based Evaporative Stress Index. Project report on NOAA grant no.NA14OAR4310226 for the period June 2016-May 2017. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2017. Call Number: UW SSEC Publication No.17.05.O1.
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5459. Otkin, Jason; Greenwald, Tom; Sieglaff, Justin; Gunshor, Mat; Bah, Kaba; Schmit, Tim; Huang, Allen and Wanzong, Steve. High-resolution simulated ABI datasets used for GOES-R research and demonstration activities. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 45.
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5460. Otkin, Jason; Griffin, S. M.; Rozoff, C. M.; Sieglaff, J.; Cronce, L. and Alexander, C. R.. Using GOES brightness temperatures to assess the accuracy of short-range forecasts from the High-Resolution Rapid Refresh (HRRR) model. Boston, MA, American Meteorological Society, 2016, Abstract 98.

5461. Otkin, Jason; Griffin, S. M.; Thompson, G.; Berner, J.; Kong, F. and Frediani, M. E. . Assessing the impact of stochastic cloud microphysics in high-resolution models using GOES-16 infrared brightness temperatures. Boston, MA, American Meteorological Society, 2018, Abstract 9B.4.

5462. Otkin, Jason; Griffin, Sarah; Sieglaff, Justin; Rozoff, Chris; Cronce, Lee; Bullock, Randy; Halley-Gotway, John; Jensen, Tara and Wolff, Jamie. Using geostationary satellite observations to assess the accuracy of short-range forecasts from the High-resolution rapid refresh (HRRR) model. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2016, PowerPoint presentation.

5463. Otkin, Jason; Huang, Lung-Lung; Greenwald, Tom; Olson, Erik and Sieglaff, Justin. Large-scale WRF-simulated proxy atmospheric profile datasets used to support GOES-R research activities. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, unpaged. Reprint # 5568.

5464. Otkin, Jason; Huang, Lung-Lung; Greenwald, Tom; Olson, Erik and Sieglaff, Justin. Large-scale high-resolutionWRF simulattions used to support GOES-R research activities. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, poster presentation.
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5465. Otkin, Jason; Jones, Thomas; Knopfmeier, Kent and Stensrud, David. Evaluation of assimilating simulated radar and satellite observations during a cool season OSSE. Raleigh, NC, National Weather Association, 2012, Abstract P1.54.

5466. Otkin, Jason; Lewis, W. E.; Lenzen, A. L.; McNoldy, B. and Majumdar, S. J.. Evaluation of microphysics and cumulus parameterization schemes in the HWRF model using satellite infrared brightness temperatures. Boston, MA, American Meteorological Society, 2016, Abstract 3.3.

5467. Otkin, Jason; Lewis, William and Majumdar, Sharanya. Using synthetic satellite brightness temperatures to evaluate the ability of HWRF parameterization schemes to accurately simulate clouds and moisture in the tropical cyclone environment. Project report on NOAA grant No.NA14NWS4680026 for the period 1 May. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2015. Call Number: UW SSEC Publication No.15.07.O1.
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5468. Otkin, Jason; Lewis, William and Majumdar, Sharanya. Using synthetic satellite brightness temperatures to evaluate the ability of HWRF parameterization schemes to accurately simulate clouds and moisture in the tropical cyclone environment. Project report on NOAA grant No.NA14NWS4680026 for the period Febru. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2015. Call Number: UW SSEC Publication No.15.04.O1.
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5469. Otkin, Jason; Lewis, William and Majumdar, Sharanya. Using synthetic satellite brightness temperatures to evaluate the ability of HWRF parameterization schemes to accurately simulate clouds and moisture in the tropical cyclone environment. Project report on NOAA grant No.NA14NWS4680026 for the period Augus. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2015. Call Number: UW SSEC Publication No.15.10.O1.
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5470. Otkin, Jason; Lewis, William and Majumdar, Sharanya. Using synthetic satellite brightness temperatures to evaluate the ability of HWRF parameterization schemes to accurately simulate clouds and moisture in the tropical cyclone environment. Project report on NOAA grant No.NA14NWS4680026 for the period Febru. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2016. Call Number: UW SSEC Publication No.16.04.O1.
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5471. Otkin, Jason; Lewis, William and Majumdar, Sharanya. Using synthetic satellite brightness temperatures to evaluate the ability of HWRF parameterization schemes to accurately simulate clouds and moisture in the tropical cyclone environment. Project report on NOAA grant No.NA14NWS4680026 for the period 1 Nov. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2016. Call Number: UW SSEC Publication No.16.01.O1.
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5472. Otkin, Jason; Lorenz, Dave; Anderson, Martha; Hain, Chris and Svobada, Mark. Using a thermal infrared-based drought index to assess drought conditions and to provide early warning of flash drough development. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2015, PowerPoint presentation.

5473. Otkin, Jason; Perianez, A.; Schomburg, A.; Harnisch, F.; Faulwetter, R.; Reich, H.; Schraff, C. and Potthast, R.. Assimilating infrared brightness temperatures using an ensemble data assimilation system and a cloud-dependent bias correction scheme. Boston, MA, American Meteorological Society, 2015, Abstract 10.

5474. Otkin, Jason; Potthast, R. and Lawless, A.. Nonlinear bias correction for satellite data assimilation. Boston, MA, American Meteorological Society, 2018, Abstract 8B.6.

5475. Otkin, Jason; Rozoff, Chris; Nebuda, Sharon; Greenwald, Tom; Sun, Ruiyu; Bernardet, Ligia; Harrold, Michelle; Liu, Emily; Collard, Andrew and Tallapragada, Vijay. Advancing forecast verification and model development efforts through the development of a flexible satellite-based verification system for the Global Forecast System. Report on NOAA Grant No.NA16NWS4680010 for the period March 2017 to August 2017. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2017. Call Number: UW SSEC Publication No.17.08.O1.
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