Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Jamie Bresch"'
1
Akademický článek
Impacts of Radio Occultation Data on Typhoon Forecasts as Explored by the Global MPAS-GSI System
Autor: Tzu-Yu Chien, Shu-Ya Chen, Ching-Yuang Huang, Cheng-Peng Shih, Craig S. Schwartz, Zhiquan Liu, Jamie Bresch, Jia-Yang Lin
Publikováno v: Atmosphere, Vol 13, Iss 9, p 1353 (2022)
Global Navigation Satellite System (GNSS) radio occultation (RO) provides plentiful sounding profiles over regions lacking conventional observations. The Gridpoint Statistical Interpolation (GSI) hybrid system for assimilating RO data is integrated i
Externí odkaz: https://doaj.org/article/7c2d81de018a44eb977bcc5824263d3b
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2
Akademický článek
AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system
Autor: Chun Yang, Zhiquan Liu, Jamie Bresch, Syed R. H. Rizvi, Xiang-Yu Huang, Jinzhong Min
Publikováno v: Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-19 (2016)
A method to assimilate all-sky radiances from the Advanced Microwave Scanning Radiometer 2 (AMSR2) was developed within the Weather Research and Forecasting (WRF) model's data assimilation (WRFDA) system. The four essential elements are: (1) extendin
Externí odkaz: https://doaj.org/article/34592e1a32cd4b4b96dcdbce1b17b1bb
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3
Short-Term Convection-Allowing Ensemble Precipitation Forecast Sensitivity to Resolution of Initial Condition Perturbations and Central Initial States
Autor: Craig S. Schwartz, Jonathan Poterjoy, Glen S. Romine, David C. Dowell, Jacob R. Carley, Jamie Bresch
Publikováno v: Weather and Forecasting. 37:1259-1286
Nine sets of 36-h, 10-member, convection-allowing ensemble (CAE) forecasts with 3-km horizontal grid spacing were produced over the conterminous United States for a 4-week period. These CAEs had identical configurations except for their initial condi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07a274f013d56cde0e2fce2d0253fd06
https://doi.org/10.1175/waf-d-21-0165.1
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5
Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China
Autor: Zhiquan Liu, Junmei Ban, Jhoon Kim, D. Chen, Jamie Bresch, Xuemei Wang, Jiongming Pang
Publikováno v: Atmospheric Environment. 179:288-304
In this study, Geostationary Ocean Color Imager (GOCI) AOD and Visible Infrared Imaging Radiometer Suite (VIIRS) AOD data were assimilated to forecast surface PM2.5 concentrations over Eastern China, by using the three–dimensional variational (3DAV
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb8acf632cbb4a57330aec05da30c1c8
https://doi.org/10.1016/j.atmosenv.2018.02.011
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6
AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system
Autor: Syed R. H. Rizvi, Chun Yang, Jinzhong Min, Xiang-Yu Huang, Zhiquan Liu, Jamie Bresch
Publikováno v: Tellus A; Vol 68 (2016)
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-19 (2016)
A method to assimilate all-sky radiances from the Advanced Microwave Scanning Radiometer 2 (AMSR2) was developed within the Weather Research and Forecasting (WRF) model’s data assimilation (WRFDA) system. The four essential elements are: (1) extend
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0f7bc9e3625f6f3b333232a83ba25e8
https://doi.org/10.3402/tellusa.v68.30917
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