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 839 records (displaying records 476 through 500)

476. Minnis, Patrick and Heck, Patrick W.. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for nighttime cloud optical depth, cloud particle size, cloud ice water path, and cloud liquid water path. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.07.M1. 
PDF Document Link to PDF

477. Monette, Sarah A.; Velden, Christopher S. and Rozoff, Christopher M.. Examing trends in satellite-detected voershooting tops as a potential predictor of tropical cyclone rapid intensification. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. 

478. Mooney, Margaret. The GOES-R education proving ground. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2015, PowerPoint presentation. 

479. Mooney, Margaret and Schmit, Tim. STEM connections to the GOES-R satellite series. Washington, DC, American Geophysical Union, 2015, Abstract ED54A-03. 

480. Mooney, Margaret; Ackerman, S.; Jackson, N.; Ruscher, P. and Rowley, P.. Satellite meteorology resources and the GOES-R Education Proving Ground. Boston, MA, American Meteorological Society, 2013, Abstract 300. 

481. Mooney, Margaret; Schmit, T. J. and Ackerman, S.. GOES-R Education Proving Ground. Boston, MA, American Meteorological Society, 2015, Abstract TJ5.1. 

482. Mooney, Margaret; Schmit, T. J. and Gunshor, M.. Galvanizing excitement around GOES-R with science teachers, science centers and TV broadcasters. Boston, MA, American Meteorological Society, 2017, Abstract 3.1. 

483. Mooney, Margaret; Schmit, T. J.; Whittaker, T. M. and Ackerman, S.. GOES-R education proving ground. Boston, MA, American Meteorological Society, 2016, Abstract 719. 

484. Mooney, Margaret; Schmit, Tim and Gunshor, Mat. Galvanizing excitement and awareness around the GOES-R satellite series with science teachers, science centers and TV broadcasters. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 31. 

485. Mostek, Anthony; DeMaria, Mark; Gurka, James and Schmit, Tim. Preparing for GOES-R+ user training and education. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2008, PowerPoint presentation. 

486. Mostek, Anthony; Gurka, J.; Schmit, T. J. and Spayd, L. Jr.. Training in the NOAA satellite proving ground. Boston, MA, American Meteorological Society, 2012, Abstract 5.6. 

487. Mostek, Anthony; Spayd, LeRoy; Ogren, John; Motta, Brian; Gurka, James; Schmit, Tim; DeMaria, Mark and Abshire, Wendy. Training: Connecting developers with users. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation. 

488. Motta, Brian and Gravelle, Chad. Introduction to satellite training program and opportunities. National Oceanic and Atmospheric Administration (NOAA), 2014, abstract; PowerPoint presentation. 

489. Mozer, Kathryn W.; Nietfeld, D.; Seybold, M.; Kline, E. M.; Fulbright, J.; Pogorzala, D.; MacKenzie, W. M. Jr. and Gravelle, C. M.. GOES-R satellite series: Mesoscale domain sector request process and early results. Boston, MA, American Meteorological Society, 2017, Abstract 10.5. 

490. Nebuda, Sharon; Jung, J. A.; Santek, D. A.; Daniels, J. M. and Bresky, W.. GOES-R AWG Atmospheric Motion Vectors: First look at assimilation in NCEP GFS. Boston, MA, American Meteorological Society, 2013, Abstract J4.6. 

491. Nebuda, Sharon; Jung, Jim; Santek, Dave; Daniels, Jaime and Bresky, Wayne. Assimilation of GOES-R Atmospheric Motion Vectors (AMVs) in the NCEP global forecast system. Darmstadt, Germany, EUMETSAT, 2014, PowerPoint presentation. 21 slides. 
PDF Document Link to PDF

492. Nebuda, Sharon; Jung, Jim; Santek, Dave; Daniels, Jaime and Bresky, Wayne. Assimilation of GOES-R Atmospheric Motion Vectors (AMVs) in the NCEP global forecast system. Darmstadt, Germany, EUMETSAT, 2014. Reprint # 7657. 

493. Nebuda, Sharon; Jung, Jim; Santek, Dave; Daniels, Jaime and Bresky, Wayne. GOES-R Atmospheric Motion Vectors: Assimilation in NCEP GFS. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. 

494. Nelson, James P. III; Feltz, J. M.; Bah, K.; Gunshor, M. M. and Schmit, T. J.. GOES-R imagery: Readiness and quality assurance. Boston, MA, American Meteorological Society, 2016, Abstract 113. 

495. Olander, Tim and Daniels, Jaime. GOES-R Hurricane Intensity Estimation (HIE) validation tool development: Winds Application Team. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

496. Olander, Tim and Velden, Chris. Status of the Advanced Dworak Technique (ADT). Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 26. 
Abstract Document Link to Abstract

497. Olander, Tim and Velden, Christ. THE UW-CIMSS Advanced Dvorak Technique (ADT) - Looking towards GOES-R. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 16. 
Abstract Document Link to Abstract

498. Olander, Tim; Velden, Chris and Daniels, Jaime. Update on the GOES-R AWG Hurricane Intensity Estimation (HIE) algorithm. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. 

499. Olander, Timothy; Velden, Chris; Daniels, Jaime; Wolf, Walter and Qiu, Shuang. GOES-R AWG Winds Team: Hurricane Intensity Estimation (HIE) algorithm. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation. 

500. Olander, Timothy; Velden, Christopher and Daniels, Jaime. GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for hurricane intensity. Version 2.0. NOAA, NESDIS, Center for Satellite Applications and Research, 2010. Call Number: UW SSEC Publication No.10.09.O1. 
PDF Document Link to PDF