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 301 through 325)

301. Heidinger, Andrew. Cloud products in the GOES-R and JPSS era: Current applications and opportunities for growth. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 21 slides. 
PPT Document Link to PPT

302. Heidinger, Andrew and Lindsey, Dan. GOES-R risk reduction status. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2014, PowerPoint presentation. 

303. Heidinger, Andrew and Walther, Andi. GOES-R AWG Cloud Team: Daytime Cloud Optical and Microphysical Properties (DCOMP). Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation. 

304. Heidinger, Andrew and Walther, Andi. GOES-R AWG Cloud Team: Daytime Cloud Optical and Microphysical Properties (DCOMP). Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2010, PowerPoint presentation. 

305. Heidinger, Andrew K.. Applicability of GOES-R AWG cloud algorithms for JPSS/VIIRS. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 3.5. 

306. Heidinger, Andrew K.. Candidate approaches for the real-time generation of cloud properties from GOES-R ABI. Boston, MA, American Meteorological Society, 2008, Abstract P1.3. 

307. Heidinger, Andrew K.; Evan, Amato T.; Foster, Michael J. and Walther, Andi. A naive Bayesian cloud-detection scheme derived from CALIPSO and applied within PATMOS-xJournal of Applied Meteorology and Climatology, Volume: 51, Issue: 6, 2012. Reprint # 6733. 
PDF Document Link to PDF

308. Heidinger, Andrew K.; Laszlo, Istvan; Molling, Christine C. and Tarpley, Dan. Using SURFRAD to verify the NOAA single-channel land surface temperature algorithmJournal of Atmospheric and Oceanic Technology, Volume: 30, Issue: 12, 2013. Reprint # 7133. 
PDF Document Link to PDF

309. Heidinger, Andrew K.; Wanzong, Steve and Li, Yue. NOAA GOES-R AWG cloud height algorithm (ACHA). Darmstadt, Germany, EUMETSAT, 2014. Reprint # 7659. 

310. Heidinger, Andrew; Molling, Christine; Straka, William III and Foster, Michael. Generatinv real-time and climate products in support of solar energy applications. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

311. Heidinger, Andrew; Pavolonis, Michael; Minnis, Pat; Walther, Andi; Heck, Pat and Straka, William. Cloud height and cloud temperature for OCONUS GOES-R proving ground. National Oceanic and Atmospheric Administration (NOAA), 2011, PowerPoint presentation. 

312. Heidinger, Andrew; Pavolonis, Michael; Walther, Andi; Heck, Pat; Minnis, Pat and Straka, William. GOES-R AWG product validation tool development: Cloud products. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 

313. Heidinger, Andrew; Pavolonis, Michael; Walther, Andi; Heck, Pat; Minnis, Pat and Straka, William. GOES-R AWG product validation tool devleopment: Cloud products. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation. 26 slides. 
PPT Document Link to PPT

314. Heidinger, Andrew; Wanzong, Steve; Walther, Andi; Heck, Pat; Straka, William; Rogal, Marek and Minnis, Patrick. Cloud team report. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2014, PowerPoint presentation. 29 slides. 
PPT Document Link to PPT

315. Hillger, Don and Schmit, Tim. GOES science testing. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 51. 
Abstract Document Link to Abstract

316. Hillger, Donad W.; Schmit, T. J.; Bachmeier, A. S.; Gunshor, M. M.; Knaff, J. A. and Lindsey, D. T.. NOAA science test results from the GOES-14 and -15 imager and sounder. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 640. 

317. Hillger, Donald W. and Schmit, T. J.. GOES science tests: Results for the last two of the current GOES series. Boston, MA, American Meteorological Society, 2012, Abstract 5A.1. 

318. Hillger, Donald W. and Schmit, Timothy J.. Quantization noise for GOES-R ABI bands. Boston, MA, American Meteorological Society, 2004, Paper P1.7. Reprint # 3779. 

319. Hillger, Donald W. and Schmit, Timothy J.. The GOES-14 science test: Imager and sounder radiance and product validations. Washington, DC, U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), August 2010. viii, 105p. Call Number: C 55.13:NESDIS 131. 

320. Hillger, Donald W. and Schmit, Timothy J.. The GOES-15 science test: Imager and sounder radiance and product validations. Washington, DC, U.S. Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), 2011. ix, 101p. Call Number: C 55.13:NESDIS 141. 

321. Hoffman, J.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm. Washington, DC, American Geophysical Union, 2011, Abstract IN53C-1636. 

322. Hoffman, Jay P.; Schmidt, C. C. and Prins, E. M.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm development activities at CIMSS. Boston, MA, American Meteorological Society, 2010, Abstract P8.10. 

323. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R fire detection algorithm from research to operations. Boston, MA, American Meteorological Society, 2012, Abstract 498. 

324. Hoffman, Jay P.; Schmidt, Christopher C.; Prins, Elaine M.; Brunner, Jason C.; Feltz, Joleen M. and Lindstrom, Scott S.. Recent Wild Fire Automated Biomass Buring Algorithm activities at CIMSS. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 14. 
Abstract Document Link to Abstract

325. Holz, Robert E.; Nagle, F. W.; Quinn, G.; Sun, H.; Kuehn, R. and Wolf, W. W.. A processing and validation system to collocate GOES-R and JPSS products to support combined GEO/LEO product development and validation activities using advanced physical collocation techniques. Boston, MA, American Meteorological Society, 2013, Abstract 680.