Schwerdtfeger Library Publications Database

Results: Found 839 records (displaying records 501 through 525)

501. Olson, Erik R.; Otkin, Jason; Knuteson, Robert; Smuga-Otto, Maciek; Garcia, Raymond K.; Feltz, Wayne; Huang, Hung-Lung; Velden, Christopher and Moy, Leslie. Geostationary interferometer 24-hour simulated dataset for test processing and calibration. Boston, MA, American Meteorological Society, 2006, Paper 14.5. Reprint # 4847.

502. Otkin, J. A.; Greenwald, T.; Sieglaff, J.; Olson, E. and Huang, H.-L.. Large-sclae model-derived proxy datasets used for GOES-R research activities. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 12.B.
Abstract Document Link to Abstract

503. Otkin, Jason A.. Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter. Journal of Geophysical Research-Atmospheres, Volume: 115, 2010, doi:10.1029/JD013759. Reprint # 6331.

504. Otkin, Jason A.. Assessing the impact of the covariance localization radius when assimilating infrared brightness temperature observations using an Ensemble Kalman Filer. Monthly Weather Review, Volume: 140, Issue: 2, 2012, pp.543-561. Reprint # 6587.
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505. Otkin, Jason A.; Greenwald, T.; Sieglaff, J.; Gunshor, M. M.; Bah, K.; Schmit, T. J.; Huang, A. and Wanzong, S.. High-resolution simulated ABI datasets used for GOES-R research activities. Boston, MA, American Meteorological Society, 2009, Abstract JP1.6.

506. Otkin, Jason A.; Huang, A.; Greenwald, T.; Olson, E. R. and Sieglaff, J.. Large-scale WRF model simulations used for GOES-R research activities. Boston, MA, American Meteorological Society, 2008, Abstract P1.20.

507. Otkin, Jason A.; Huang, H. L.; Olson, E. R. and Wanzong, S.. WRF-simulated atmospheric profile datasets used to support GOES-R research activities. Boston, MA, American Meteorological Society, 2007, Abstract P2.35.

508. Otkin, Jason A.; Posselt, Derek J.; Olson, Erik R.; Huang, Hung-Lung; Davies, James E.; Li, Jun and Velden, Christopher S.. Mesoscale numerical weather prediction models used in support of infrared hyperspectral measurement simulation and product algorithm development. Journal of Atmospheric and Oceanic Technology, Volume: 24, Issue: 4, 2007, pp.585-601. Reprint # 5340.
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509. Otkin, Jason A.; Sieglaff, J.; Greenwald, T. and Huang, A.. Model-derived proxy ABI radiance datasets used for GOES-R research and demonstration activities. Boston, MA, American Meteorological Society, 2010, Abstract 308.

510. 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.
Abstract Document Link to Abstract

511. 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.

512. 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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513. 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.

514. 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

515. 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.

516. 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.

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

518. 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

519. 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.

520. 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.

521. 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.

522. 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.

523. 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

524. 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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525. 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.