Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ryan A. Sobash"'
Publikováno v:
Weather and Forecasting. 38:401-423
Herein, 14 severe quasi-linear convective systems (QLCS) covering a wide range of geographical locations and environmental conditions are simulated for both 1- and 3-km horizontal grid resolutions, to further clarify their comparative capabilities in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b9ba6326725089e1ca939be06da9e39
https://doi.org/10.1175/waf-d-22-0112.1
https://doi.org/10.1175/waf-d-22-0112.1
Autor:
Anders A. Jensen, James O. Pinto, Sean C. C. Bailey, Ryan A. Sobash, Glen Romine, Gijs de Boer, Adam L. Houston, Suzanne W. Smith, Dale A. Lawrence, Cory Dixon, Julie K. Lundquist, Jamey D. Jacob, Jack Elston, Sean Waugh, David Brus, Matthias Steiner
Publikováno v:
Monthly Weather Review. 150:2737-2763
Uncrewed aircraft system (UAS) observations from the Lower Atmospheric Profiling Studies at Elevation–A Remotely-Piloted Aircraft Team Experiment (LAPSE-RATE) field campaign were assimilated into a high-resolution configuration of the Weather Resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88faefc660c807b4c7329edf16680272
https://doi.org/10.1175/mwr-d-22-0090.1
https://doi.org/10.1175/mwr-d-22-0090.1
Autor:
Corey K. Potvin, Burkely T. Gallo, Anthony E. Reinhart, Brett Roberts, Patrick S. Skinner, Ryan A. Sobash, Katie A. Wilson, Kelsey C. Britt, Chris Broyles, Montgomery L. Flora, William J. S. Miller, Clarice N. Satrio
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 39:999-1013
Thunderstorm mode strongly impacts the likelihood and predictability of tornadoes and other hazards, and thus is of great interest to severe weather forecasters and researchers. It is often impossible for a forecaster to manually classify all the sto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9f6b130807e94d57657ae3a35cd76e6
https://doi.org/10.1175/jtech-d-21-0141.1
https://doi.org/10.1175/jtech-d-21-0141.1
Autor:
Ryan A. Sobash, David John Gagne, Charlie L. Becker, David Ahijevych, Gabrielle N. Gantos, Craig S. Schwartz
Publikováno v:
Monthly Weather Review.
While convective storm mode is explicitly depicted in convection-allowing model (CAM) output, subjectively diagnosing mode in large volumes of CAM forecasts can be burdensome. In this work, four machine learning (ML) models were trained to probabilis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4cb23253f9c7a118a4f8786cd75e619
https://doi.org/10.1175/mwr-d-22-0342.1
https://doi.org/10.1175/mwr-d-22-0342.1
Publikováno v:
Monthly Weather Review. 149:3265-3287
A 50-member convection-allowing ensemble was used to examine environmental factors influencing afternoon convection initiation (CI) and subsequent severe weather on 5 April 2017 during intensive observing period (IOP) 3b of the Verification of the Or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5397e998cf3125eb718b58752c13faf
https://doi.org/10.1175/mwr-d-21-0111.1
https://doi.org/10.1175/mwr-d-21-0111.1
Autor:
Suzanne Weaver Smith, Gijs de Boer, Phillip B. Chilson, Julie K. Lundquist, Glen S. Romine, Jamey Jacob, Ryan A. Sobash, Sean C. C. Bailey, Dale Lawrence, Jack Elston, Matthias Steiner, James O. Pinto, Tyler M. Bell, Sean Waugh, Adam L. Houston, Anders A. Jensen, Cory Dixon
Publikováno v:
Monthly Weather Review. 149:1459-1480
Uncrewed aircraft system (UAS) observations collected during the 2018 Lower Atmospheric Process Studies at Elevation—a Remotely Piloted Aircraft Team Experiment (LAPSE-RATE) field campaign were assimilated into a high-resolution configuration of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d63e6bd1d384f562c7fb2cf0b13c7ef3
https://doi.org/10.1175/mwr-d-20-0359.1
https://doi.org/10.1175/mwr-d-20-0359.1
Publikováno v:
Weather and Forecasting. 35:1981-2000
A feed-forward neural network (NN) was trained to produce gridded probabilistic convective hazard predictions over the contiguous United States. Input fields to the NN included 174 predictors, derived from 38 variables output by 497 convection-allowi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9663142f669c2f2b382b3be1e1121743
https://doi.org/10.1175/waf-d-20-0036.1
https://doi.org/10.1175/waf-d-20-0036.1
Publikováno v:
Monthly Weather Review. 148:2645-2669
Five sets of 48-h, 10-member, convection-allowing ensemble (CAE) forecasts with 3-km horizontal grid spacing were systematically evaluated over the conterminous United States with a focus on precipitation across 31 cases. The various CAEs solely diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143540087a903803f1ba0caf7811c5df
https://doi.org/10.1175/mwr-d-19-0401.1
https://doi.org/10.1175/mwr-d-19-0401.1
Autor:
Craig S. Schwartz, Ryan A. Sobash
Publikováno v:
Monthly Weather Review. 147:4411-4435
Hourly accumulated precipitation forecasts from deterministic convection-allowing numerical weather prediction models with 3- and 1-km horizontal grid spacing were evaluated over 497 forecasts between 2010 and 2017 over the central and eastern conter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf1fa4a5b02f526dcf6c7ba20c9484da
https://doi.org/10.1175/mwr-d-19-0115.1
https://doi.org/10.1175/mwr-d-19-0115.1
Publikováno v:
Weather and Forecasting. 34:1633-1656
A 50-member convection-allowing ensemble is used to examine effects of daytime PBL evolution and ambient flow interacting with modest terrain features on convection initiation (CI) in the lee of the Rocky Mountains. The examined case (4 June 2015) ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa910f0157bc7eaa29a7e079a48ea3ab
https://doi.org/10.1175/waf-d-19-0087.1
https://doi.org/10.1175/waf-d-19-0087.1