Zobrazeno 1 - 10
of 50
pro vyhledávání: '"John S. Kain"'
Autor:
Yongming Wang, Keith Brewster, Xuguang Wang, Corey K. Potvin, Eric A. Aligo, David C. Dowell, Ming Xue, Jacob R. Carley, Timothy A. Supinie, Anthony E. Reinhart, Lucas M. Harris, Israel L. Jirak, John S. Kain, Burkely T. Gallo, Glen S. Romine, Fanyou Kong, Louis J. Wicker, Adam J. Clark, Patrick S. Skinner, Kevin W. Thomas
Publikováno v:
Weather and Forecasting. 34:1395-1416
The 2016–18 NOAA Hazardous Weather Testbed (HWT) Spring Forecasting Experiments (SFE) featured the Community Leveraged Unified Ensemble (CLUE), a coordinated convection-allowing model (CAM) ensemble framework designed to provide empirical guidance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e71af32c7b99961a40355f02e424aca3
https://doi.org/10.1175/waf-d-19-0056.1
https://doi.org/10.1175/waf-d-19-0056.1
Autor:
Gregory Thompson, Xiquan Dong, Gerry J. Creager, Israel L. Jirak, Rebecca D. Adams-Selin, Fanyou Kong, Matthew Pyle, Adam J. Clark, Ming Xue, Kevin W. Thomas, Curtis R. Alexander, Kent H. Knopfmeier, Christopher J. Melick, Matthew S. Gilmore, Ryan A. Sobash, Joshua Markel, Brad S. Ferrier, John S. Kain, Kathryn R. Fossell, Jacob R. Carley, Steven J. Weiss, Keith Brewster, Louis J. Wicker, Glen S. Romine, David A. Imy, Youngsun Jung, Burkely T. Gallo, Aaron Kennedy, Scott R. Dembek
Publikováno v:
Bulletin of the American Meteorological Society. 99:1433-1448
One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e197aab16d13042b724f6db057303037
https://doi.org/10.1175/bams-d-16-0309.1
https://doi.org/10.1175/bams-d-16-0309.1
Autor:
Thomas A. Jones, Dustan M. Wheatley, David C. Dowell, John Lawson, Kent H. Knopfmeier, John S. Kain, Nusrat Yussouf
Publikováno v:
Weather and Forecasting. 33:599-607
The Warn-on-Forecast (WoF) program, driven by advanced data assimilation and ensemble design of numerical weather prediction (NWP) systems, seeks to advance 0–3-h NWP to aid National Weather Service warnings for thunderstorm-induced hazards. An ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b0deba6cb0b5820413dfb58c995f730
https://doi.org/10.1175/waf-d-17-0145.1
https://doi.org/10.1175/waf-d-17-0145.1
Autor:
John S. Kain, Ryan A. Sobash
Publikováno v:
Weather and Forecasting. 32:1885-1902
Eight years of daily, experimental, deterministic, convection-allowing model (CAM) forecasts, produced by the National Severe Storms Laboratory, were evaluated to assess their ability at predicting severe weather hazards over a diverse collection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71dfdd906d8058965e3d91b03323623
https://doi.org/10.1175/waf-d-17-0043.1
https://doi.org/10.1175/waf-d-17-0043.1
Autor:
Rebecca D. Adams-Selin, Keith Brewster, James Correia, Eswar R. Iyer, Adam J. Clark, Derek R. Stratman, Burkely T. Gallo, Youngsun Jung, Ming Xue, Andrew R. Dean, Christopher J. Melick, Michael C. Coniglio, William Line, Steve Willington, Gregory W. Carbin, Feifei Shen, Kevin W. Thomas, Fanyou Kong, Kent H. Knopfmeier, Christopher D. Karstens, Steven J. Weiss, Israel L. Jirak, John S. Kain
Publikováno v:
Weather and Forecasting. 32:1541-1568
Led by NOAA’s Storm Prediction Center and National Severe Storms Laboratory, annual spring forecasting experiments (SFEs) in the Hazardous Weather Testbed test and evaluate cutting-edge technologies and concepts for improving severe weather predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d82958e5fc553fbf185398744ef3e3d
https://doi.org/10.1175/waf-d-16-0178.1
https://doi.org/10.1175/waf-d-16-0178.1
Autor:
Steven J. Weiss, Israel L. Jirak, Dan Suri, Nigel Roberts, Jonathan M. Wilkinson, Laura Ellam, John S. Kain, Adam J. Clark, Christopher D. Karstens, Steve Willington, Kirsty Hanley, Humphrey Lean, Mark Weeks, Rachel North, Michael C. Coniglio, Kent H. Knopfmeier
Publikováno v:
Bulletin of the American Meteorological Society. 98:937-948
In recent years, a growing partnership has emerged between the Met Office and the designated U.S. national centers for expertise in severe weather research and forecasting, that is, the National Oceanic and Atmospheric Administration (NOAA) National
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d2e307f7ff0e2addb859a0b5f625f7
https://doi.org/10.1175/bams-d-15-00199.1
https://doi.org/10.1175/bams-d-15-00199.1
Publikováno v:
Journal of the Atmospheric Sciences. 73:2403-2426
An ensemble of the three-dimensional variational data assimilation (En3DA) method for convective-scale weather has been developed. It consists of an ensemble of three-dimensional variational data assimilations and forecasts in which member difference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0001a76639c71dcf036362cdc426f3
https://doi.org/10.1175/jas-d-15-0311.1
https://doi.org/10.1175/jas-d-15-0311.1
A Dynamically Computed Convective Time Scale for the Kain–Fritsch Convective Parameterization Scheme
Publikováno v:
Monthly Weather Review. 143:2105-2120
Many convective parameterization schemes define a convective adjustment time scale τ as the time allowed for dissipation of convective available potential energy (CAPE). The Kain–Fritsch scheme defines τ based on an estimate of the advective time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe21a50608f2692423d2434b8585b66c
https://doi.org/10.1175/mwr-d-14-00251.1
https://doi.org/10.1175/mwr-d-14-00251.1
Autor:
Jin Huang, Paula Davidson, John S. Kain, F. Martin Ralph, Travis M. Smith, Lars Peter Riishojgaard, Amy R. Harless, Russell S. Schneider, Steve Goodman, Robert Atlas, Gary J. Jedlovec, John Gaynor, Steven E. Koch, Janet M. Intrieri, Sid Boukabara, Bill Kuo, David L. Andra, Jiann-Gwo Jiing, Shirley T. Murillo, David R. Bright, Steven J. Weiss, Timothy Schneider, Bruce Entwistle, Jason J. Levit
Publikováno v:
Bulletin of the American Meteorological Society. 94:1187-1211
Test beds have emerged as a critical mechanism linking weather research with forecasting operations. The U.S. Weather Research Program (USWRP) was formed in the 1990s to help identify key gaps in research related to major weather prediction problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0134c21fc5410a8040c307d0ee84e309
https://doi.org/10.1175/bams-d-12-00080.1
https://doi.org/10.1175/bams-d-12-00080.1
Autor:
Jidong Gao, James Correia, Fanyou Kong, Ming Xue, Patrick T. Marsh, Adam J. Clark, Travis M. Smith, John S. Kain
Publikováno v:
Weather and Forecasting. 28:387-407
Examining forecasts from the Storm Scale Ensemble Forecast (SSEF) system run by the Center for Analysis and Prediction of Storms for the 2010 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment, recent research diagnosed a strong relationshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a05d77ca5215693f39165a1b1ccbf4aa
https://doi.org/10.1175/waf-d-12-00038.1
https://doi.org/10.1175/waf-d-12-00038.1