176. Hendricks, Eric A.; Jorgensen, A. C.; Elsberry, R. L.; Velden, C.; Jordan, M. S. and Creasey, R.. Environmental factors and internal processes contributing to interrupted rapid decay of Hurricane Joaquin. Boston, MA, American Meteorological Society, 2018, Abstract 225.
177. Hendricks, Eric S.; Elsberry, Russell L.; Velden, Chris; Creasey, Robert; Jorgensen, Adam and Jordan, Mary. Environmental factors and internal processes contributing to interrupted rapid decay of Hurrican Joaquin (2015). Washington, DC, American Geophysical Union, 2017, Abstract A11S-06.
178. Henricks, Eric A.; Bell, M. M.; Elsberry, R. L.; Velden, C. S. and Cecil, D. J.. A novel tropical cyclone dynamic initialization technique using high temporal and spatial density atmospheric motion vectors and airborne field campaign data. Boston, MA, American Meteorological Society, 2016, Abstract 15D.6.
179. Herndon, Derrick. Tropical cyclone warm core structures as observed by recent high-altitude aircraft and satellites. Boston, MA, American Meteorological Society, 2016, Abstract 18A.1.
180. Herndon, Derrick and Velden, C.. Developing a surface-based ground truth dataset for tropical cyclones outside of the Atlantic. Boston, MA, American Meteorological Society, 2014, Abstract 5A.1.
181. Herndon, Derrick and Velden, C.. An update on tropical cyclone intensity estimation from satellite microwave sounders. Boston, MA, American Meteorological Society, 2014, Abstract 34.
182. Herndon, Derrick and Velden, C.. SATellite intensity CONsensus (SATCON) evaluation and recent changes. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2011, abstract; poster presentation.
183. Herndon, Derrick and Velden, C. S.. Estimation of tropical cyclone intensity using the CIMSS ATMS tropical cyclone intensity algorithm. Boston, MA, American Meteorological Society, 2016, Abstract 5.5.
184. Herndon, Derrick and Velden, C. S.. Upgrades to the UW-CIMSS AMSU-based tropical cyclone intensity algorithm. Boston, MA, American Meteorological Society, 2006, Abstract 4B.5.
185. Herndon, Derrick and Velden, C. S.. Estimating TC intensity using the SSMIS and ATMS sounders. Boston, MA, American Meteorological Society, 2012, Paper P1.21. Reprint # 8038.
186. Herndon, Derrick and Velden, C. S.. An update on the CIMSS SATellite CONsensus (SATCON) tropical cyclone intensity algorithm. Boston, MA, American Meteorological Society, 2018, Abstract 284.
187. Herndon, Derrick and Velden, Chris. CIMSS TC Intensity Satellite Consensus (SATCON). Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2006, PowerPoint presentation.
188. Herndon, Derrick and Velden, Chris. CIMSS satellite consensus (SATCON) tropical cyclone intensity estimation algorithm. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2007, PowerPoint presentation.
189. Herndon, Derrick and Velden, Chris. CIMSS satellite consensus (SATCON) tropical cyclone intensity estimation algorithm. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2008, PowerPoint presentation.
190. Herndon, Derrick and Velden, Chris. Evaluation of the tropical cyclone SATellite intensity CONsensus (SATCON). Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2010, PowerPoint presentation.
191. Herndon, Derrick C.; Velden, Chris; Brueske, Kurt; Wacker, Robert and Kabat, Brian. Upgrades to the UW-CIMSS AMSU-based tropical cyclone intensity estimation algorithm. Boston, MA, American Meteorological Society, 2004, pp.118-119. Reprint # 3975.
192. Herndon, Derrick C.; Velden, Christopher; Wimmers, Tony and Olander, Tim. Evaluation of the tropical cyclone SATellite intensity CONsensus (SATCON). Boston, MA, American Meteorological Society, 2010, Paper 4D.2. Reprint # 6276.
193. Herndon, Derrick; Velden, C. S. and Hawkins, J. D.. Update on SATellite-based CONsensus (SATCON) approach to TC intensity estimation. Boston, MA, American Meteorological Society, 2012, Paper 7C.2. Reprint # 8040.
194. Herndon, Derrick; Velden, C.; Bennartz, R. and Li, Z.. Tropical cyclone intensity estimation from the TROPICS CubeSat satellite constellation. Boston, MA, American Meteorological Society, 2018, Abstract 11D.4.
195. Herndon, Derrick; Velden, Chris and Hawkins, Jeff. CIMSS SATellite CONsensus algorithm for estimating the intensity of tropical cyclones. Raleigh, NC, National Weather Association, 2012, Abstract P2.2.
196. Hoff, R. M.; Zhang, H.; Jordan, N.; Prados, A. I.; Engle-Cox, J.; Hoff, A.; Weber, S./Zell, E.; Kondragunta, S.; Szykman, J. J.; Johns, B.; Dimmick, F.; Wimmers, A.; Al-Saadi, J. and Kittaka, C.. The Three-Dimensional Air Quality System (3D-AQS) as a data synthesis toolbox. Washington, DC, American Geophysical Union, 2008, Abstract A21G-03.
197. Hoggatt, Bradley D.; Tripoli, Gregory J.; Velden, Christopher S. and Derber, John. Improving hurricane forecasts utilizing GOES 8/10 derived high-density wind vectors: A collaborative venture between the University of Wisconsin-Madison and the National Centers for Environmental Prediction. Boston, MA, American Meteorological Society, 1999, pp.654-657. Reprint # 2533.
198.
Hoover, Brett T and Velden, Chris S. Adjoint-derived impact of assimilated observations on tropical cyclone intensity forecasts of Hurricane Joaquin (2015) and Hurricane Matthew (2016). Journal of Atmospheric and Oceanic Technology, Volume: 37, Issue: 8, 2020, pp.1333-1352. Reprint # 8574.
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199. Hoover, Brett T.; Langland, R.; Velden, C. S. and Kim, H. M.. Relationships between observation assimilation, forecast improvement, and adjoint-derived observation-impact. Boston, MA, American Meteorological Society, 2017, Abstract 15.6.
200. Hoover, Brett T.; Velden, Chris S. and Langland, Rolf H.. Adjoint-based analysis of observation impact on tropical cyclone intensity forecasts. Boston, MA, American Meteorological Society, 2014, Paper 7A.3. Reprint # 7828.