Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Steve Albers"'
Publikováno v:
Atmosphere, Vol 13, Iss 8, p 1302 (2022)
The accurate and timely depiction of the state of severe weather is critical for enhancing forecaster situational awareness. This study attempted to develop a hurricane forecasting model with a warm-start run and investigated the impact of winds obse
Externí odkaz:
https://doaj.org/article/26ff6d26b52540009870335d132f52e6
Publikováno v:
Atmosphere, Vol 13, Iss 1, p 127 (2022)
The combination of techniques that incorporate observational data may improve numerical weather prediction forecasts; thus, in this study, the methodology and potential value of one such combination were investigated. A series of experiments on a sin
Externí odkaz:
https://doaj.org/article/b78fd760d033479688d5e32a4db14fcf
Autor:
Brian Motta, Steve Albers, Isidora Jankov, Joseph C. Picca, Darrel M. Kingfield, Hongli Jiang, Daniel Birkenheuer, Yuanfu Xie, Zoltan Toth, Greg Stumpf, Michael Scotten
Publikováno v:
Bulletin of the American Meteorological Society. 96:2045-2057
The accurate and timely depiction of the state of the atmosphere on multiple scales is critical to enhance forecaster situational awareness and to initialize very short-range numerical forecasts in support of nowcasting activities. The Local Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a1c902b5f6c6bd229525da98793417a
https://doi.org/10.1175/bams-d-13-00185.1
https://doi.org/10.1175/bams-d-13-00185.1
Publikováno v:
Bulletin of the American Meteorological Society. 95:ES30-ES33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5deb1561dd65a962f8f680b4515760bd
https://doi.org/10.1175/bams-d-13-00088.1
https://doi.org/10.1175/bams-d-13-00088.1
Publikováno v:
Bulletin of the American Meteorological Society. 93:ES35-ES38
No abstract available.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec324b04c0bb3456212f0993bb65933
https://doi.org/10.1175/bams-d-11-00148.1
https://doi.org/10.1175/bams-d-11-00148.1
Publikováno v:
Environmental modelling & software 25 (2010): 1064–1074. doi:10.1016/j.envsoft.2010.03.023
info:cnr-pdr/source/autori:Conte D., M.M. Miglietta, A.Moscatello, S. Albers, V. Levizzani/titolo:A GIS approach to ingest Meteosat Second Generation data into the Local Analysis and Prediction System/doi:10.1016%2Fj.envsoft.2010.03.023/rivista:Environmental modelling & software/anno:2010/pagina_da:1064/pagina_a:1074/intervallo_pagine:1064–1074/volume:25
info:cnr-pdr/source/autori:Conte D., M.M. Miglietta, A.Moscatello, S. Albers, V. Levizzani/titolo:A GIS approach to ingest Meteosat Second Generation data into the Local Analysis and Prediction System/doi:10.1016%2Fj.envsoft.2010.03.023/rivista:Environmental modelling & software/anno:2010/pagina_da:1064/pagina_a:1074/intervallo_pagine:1064–1074/volume:25
The Local Analysis and Prediction System (LAPS) is modified to ingest Meteosat Second Generation (MSG) data for cloud analysis. A first study is conducted to test the actual performance of the weather analysis software after new satellite bands are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::107e722345f68e85e30fb69b200e281d
https://doi.org/10.1016/j.envsoft.2010.03.023
https://doi.org/10.1016/j.envsoft.2010.03.023
Conference
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