Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Philip Pegion"'
Autor:
Xiaqiong Zhou, Yuejian Zhu, Dingchen Hou, Bing Fu, Wei Li, Hong Guan, Eric Sinsky, Walter Kolczynski, Xianwu Xue, Yan Luo, Jiayi Peng, Bo Yang, Vijay Tallapragada, Philip Pegion
Publikováno v:
Weather and Forecasting. 37:1069-1084
The Global Ensemble Forecast System (GEFS) is upgraded to version 12, in which the legacy Global Spectral Model (GSM) is replaced by a model with a new dynamical core—the Finite Volume Cubed-Sphere Dynamical Core (FV3). Extensive tests were perform
Air-sea flux variability has contributions from both ocean and atmosphere at different spatio-temporal scales. Atmospheric synoptic scales and the air-sea turbulent heat flux that they drive are well represented in climate models, but ocean mesoscale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c77985caabcc35a2c0e459b5050d963
https://doi.org/10.22541/essoar.168286957.77881571/v1
https://doi.org/10.22541/essoar.168286957.77881571/v1
Autor:
Hong Guan, Yuejian Zhu, Eric Sinsky, Bing Fu, Wei Li, Xiaqiong Zhou, Xianwu Xue, Dingchen Hou, Jiayi Peng, M. M. Nageswararao, Vijay Tallapragada, Thomas M. Hamill, Jeffrey S. Whitaker, Gary Bates, Philip Pegion, Sherrie Frederick, Matthew Rosencrans, Arun Kumar
Publikováno v:
Monthly Weather Review. 150:647-665
For the newly implemented Global Ensemble Forecast System, version 12 (GEFSv12), a 31-yr (1989–2019) ensemble reforecast dataset has been generated at the National Centers for Environmental Prediction (NCEP). The reforecast system is based on NCEP
Autor:
Hong Guan, Philip Pegion, Eric Sinsky, John S. Woollen, Sherrie Fredrick, Anna Shlyaeva, Vijay Tallapragada, Thomas M. Hamill, Jeffrey S. Whitaker, Xiaqiong Zhou, Gary T. Bates, Yuejian Zhu
Publikováno v:
Monthly Weather Review. 150:59-79
NOAA has created a global reanalysis dataset, intended primarily for initialization of reforecasts for its Global Ensemble Forecast System, version 12 (GEFSv12), which provides ensemble forecasts out to +35-days lead time. The reanalysis covers the p
Autor:
Jian-Wen Bao, Sara Michelson, Philip Pegion, Jeffrey Whitaker, Lisa Bengtsson, Cecile Penland
Numerical weather prediction (NWP) systems nowadays need to be capable of providing not only high-quality deterministic forecasts, but also information about forecast uncertainty. The ensemble forecast technique is commonly used to provide an estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03c2ebfadb09fbcd48d99ae622afdeb
https://doi.org/10.5194/egusphere-egu22-3111
https://doi.org/10.5194/egusphere-egu22-3111
Publikováno v:
Weather and Forecasting. 35:1761-1781
Tropical cyclones (TCs) moving into the midlatitudes can produce extreme precipitation, as was the case with Hurricane Irene (2011). Despite the high-impact nature of these events, relatively few studies have explored the sensitivity of TC precipitat
Autor:
George N. Kiladis, Stefan N. Tulich, Jeffrey S. Whitaker, Jian-Wen Bao, Sara A. Michelson, Juliana Dias, Linus Magnusson, Lisa Bengtsson, Peter Bechtold, Maria Gehne, Philip Pegion
Publikováno v:
Monthly Weather Review. 147:4005-4025
There is a longstanding challenge in numerical weather and climate prediction to accurately model tropical wave variability, including convectively coupled equatorial waves (CCEWs) and the Madden–Julian oscillation. For subseasonal prediction, the
Publikováno v:
Monthly Weather Review. 147:1319-1340
The National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System (GEFS) is underdispersive near the surface, a common characteristic of ensemble prediction systems. Here, several methods for increasing the spread are tested, i
Autor:
Gilbert P. Compo, Philip Pegion, Chesley McColl, Jih-Wang A. Wang, Jeffrey S. Whitaker, Prashant D. Sardeshmukh, Laura C. Slivinski
Publikováno v:
Monthly Weather Review. 147:1237-1256
An important issue in developing a forecast system is its sensitivity to additional observations for improving initial conditions, to the data assimilation (DA) method used, and to improvements in the forecast model. These sensitivities are investiga
Autor:
Jian-Wen Bao, Cécile Penland, Sara A. Michelson, Philip Pegion, Jeffrey S. Whitaker, Lisa Bengtsson
Publikováno v:
Monthly Weather Review. 147:893-911
In this study, we propose a physical-process-based stochastic parameterization scheme using cellular automata for NOAA’s Next Generation Global Prediction System. The cellular automata, used to simulate stochastic processes such as the production a