We are working to migrate this publications database, and the current listing does not reflect the most recent publications available. Thank you for your patience, and please reach out to library@ssec.wisc.edu with any questions.


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Results: Found 8662 records (displaying records 951 through 975)

951. Burrows, S. N.; Gower, S. T.; Norman, J. M.; Diak, G.; Mackay, D. S.; Ahl, D. E. and Clayton, M. K.. Spatial variability of aboveground net primary production for a forested landscape in northern WisconsinCanadian Journal of Forest Research, Volume: 33, Issue: 10, 2003, pp.2007-2018. Reprint # 3690. 

952. Bursik, M. I.; Carn, S. A.; Dean, K. G.; Patra, A. K.; Pavolonis, M. J.; Pitman, E.; Singla, P.; Singh, T. and Webley, P.. Ensemble modeling of the Eyjafjallajokull plume of 15-20 April 2010. Washington, DC, American Geophysical Union, 2010, Abstract V41E-2324. 

953. Burt, P. J. A.; Sear, C. B.; Lachlan-Cope, T. and Achtor, T.. PC-TOVS: A desktop PC program for the extraction and analysis of TOVS data. Reading, UK, European Centre for Medium-range Weather Forecasts (ECMWF), 1997, pp.33-40. Reprint # 2502. 
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954. Burt, P. J. A.; Sear, C. B.; Lachlan-Cope, T. and Achtor, T.. PC-TOVS: A desktop PC program for the extraction and analysis of TOVS data. [Reading, UK], [European Centre for Medium-range Weather Forecasts (ECMWF)], 1997, pp.35. abstract. 
PDF Document Link to PDF

955. Butler, C. F.; Browell, E. V.; Hair, J. W.; Fenn, M. A.; Notari, A.; Kooi, S. A.; Ismail, S.; Avery, M. A. and Pierce, R. B.. Observations of ozone and aerosols over Mexico and Gulf of Mexico during INTEX- B/MILAGRO field experiment. Washington, DC, American Geophysical Union, 2007, Abstract A33A-0816. 

956. Butterworth, Brian J.; Desai, Ankur R.; Metzger, Stefan; Townsend, Philip A.; Schwartz, Mark D.; Petty, Grant W.; Mauder, Matthias; Vogelmann, Hannes; Andresen, Christian G.; Augustine, Travis J.; Bertram, Timothy H.; Brown, William O. J.; Buban, Michael; Cleary, Patricia; Durden, David J.; Florian, Christopher R.; Iglinski, Trevor J.; Kruger, Eric L.; Lantz, Kathleen; Lee, Temple R.; Meyers, Tilden P.; Mineau, James K.; Olson, Erik R.; Oncley, Steven P.; Paleri, Sreenath; Pertzborn, Rosalyn A.; Pettersen, Claire; Plummer, David M.; Riihimaki, Laura D.; Guzman, Eliceo Ruiz; Sedlar, Joseph; Smith, Elizabeth N.; Speidel, Johannes; Stoy, Paul C.; Suehring, Matthias; Thom, Jonathan E.; Turner, David D.; Vermeuel, Michael P.; Wagner, Timothy J.; Wang, Zhien; Wanner, Luise; White, Loren D.; Wilczak, James M.; Wright, Daniel B. and Zheng, Ting. Connecting land-atmosphere interactions to surface heterogeneity in CHEESEHEAD19Bulletin of the American Meteorological Society, Volume: 102, Issue: 2, 2021, E421-E445. Reprint # 8670. 
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957. Bysal, Hyre; Buford, Steven; Schmit, Timothy J. and Wu, Xiangqian. GOES Imager stray light correction. Raleigh, NC, National Weather Association, 2011, Abstract P4.10. 

958. Bysal, Hyre; Buford, Steven; Schmit, Timothy J.; Matthews, Grant and Wu, Xiangqian Fred. GOES imager stray light correction. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011. 

959. Bywaters, Kenneth W. and Prins, Elaine M.. An interactive WWW tool for coupling satellite and meteorological data in real time. Boston, MA, American Meteorological Society, 1996, pp.382-384. Reprint # 2108. 

960. Cadeddu, Maria and Turner, David. Evaluation of uncertainties affecting the retrievals of cloud liquid water using microwave frequencies at 90 and 150 GHz. Washington, DC, US Department of Energy, Office of Energy Research, Office of Health and Environmental Research, Environmental Sciences Division, 2010, abstract. 
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961. Cadeddu, Maria P.; Turner, David D. and Liljegren, James C.. A neural network for real-time retrievals of PWV and LWP from Arctic millimeter-wave ground-based observationsIEEE Transactions on Geoscience and Remote Sensing, Volume: 47, Issue: 7, 2009, pp.1887-1900. Reprint # 6081. 

962. Cady-Pereira, K. E.; Shephard, M. W./Turner, D. D.; Mlawer, E. J./Clough, S. A. and Wagner, T. J.. Improved daytime column-integrated precipitable water vapor from Vaisala radiosonde humidity sensorsJournal of Atmospheric and Oceanic Technology, Volume: 25, Issue: 6, 2008, pp.873-883. Reprint # 5733. 
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963. Cahoon, Donald R. Jr.; Stocks, Brian J.; Alexander, Martin E.; Baum, Bryan A. and Goldammer, Johann G.. Wildland fire detection from space: Theory and applications. Dordrecht, The Netherlands, kluwer Academic Publishers, 2000, pp.151-169. Reprint # 5455. 

964. Calder, John; Proshutinsky, Andrey; Carmack, Eddy; Ashik, Igor; Leong, Harald; Key, Jeff; McCammon, Molly; Melling, Humfrey; Perovich, Donald; Eicken, Hajo; Johnson, Mark and Rigor, Ignatius. . s.l., European Space Agency (ESA), 2012. Reprint # 6754. 

965. Calder, John; Proshutinsky, Andrey; Carmack, Eddy; Ashik, Igor; Loeng, Harald; Key, Jeff; McCammon, Moll; Melling, Humfrey; Perovich, Donald; Eicken, Jaho; Johnson, Mark and Rigor, Ignatius. An integrated international approach to Arctic Ocean observations for society (A legacy of the International Polar Year). Paris, France, European Space Agency (ESA), 2009. Reprint # 7424. 

966. Callaghan, T.; Johansson, M.; Key, J. R. and Prowse, T.. Synthesis of feedbacks and interactions: From the cryosphere to the climate system - effects over various spatial temporal scales. Oslo, Norway, Arctic Monitoring and Assessment Programme, 2011, (11-2)-(11-14). Reprint # 7633. 

967. Callaghan, Terry V.; Johansson, Margareta; Key, Jeff; Prowse, Terry; Ananicheva, Maria and Klepikov, Alexander. Feedbacks and interactions: From the Arctic cryosphere to the climate systemAmbio, Volume: 40, Issue: 1, 2011, pp.75-86. Reprint # 6755. 

968. Calvert, C. G. and Pavolonis, M. J.. Introduction of a day/night, object-based quantitative fog/low cloud detection and thickness algorithm for GOES-R. Washington, DC, American Geophysical Union, 2010, Abstract A13A-0186. 

969. Calvert, Corey and Pavolonis, Mchael. Introduction of a day/night, object-based, quantitative fog/low cloud detection algorithm for GOES-R. Munich, Germany, European Geosciences Union (EGU), 2011, Abstract 3718. 
Abstract Document Link to Abstract

970. Calvert, Corey and Pavolonis, Michael. A quantitative fog/low stratus detection algorithm for GOES-R. Raleigh, NC, National Weather Association, 2012, Abstract F17.3. 

971. Calvert, Corey and Pavolonis, Mike. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for low cloud and fog. 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.C1. 
PDF Document Link to PDF

972. Calvert, Corey G. and Pavolonis, M. J.. The introduction and evaluation of a prototype GOES-R gob/low stratus algorithm using SEVIRI, CALIPSO and surface observations. Boston, MA, American Meteorological Society, 2009, Abstract JP2.12. 

973. Calvert, Corey G. and Pavolonis, M. J.. A quantitative fog/low stratus detection algorithm for GOES-R. Boston, MA, American Meteorological Society, 2012, Abstract 310. 

974. Calvert, Corey G. and Pavolonis, Michael J.. An object-based nighttime fog/low cloud detection algorithm. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 12. 
Abstract Document Link to Abstract

975. Calvert, Corey G.; Pavolonis, M. J.; Hubbard, S.; Gravelle, C. M. and Lindstrom, S. S.. The GOES-R/JPSS approach for identifying hazardous low clouds: Overview and operational impacts. Boston, MA, American Meteorological Society, 2016, Abstract 8.4.