Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Russ Treadon"'
Autor:
David Groff, Andrew Collard, Catherine Thomas, Daryl T. Kleist, Paul van Delst, Yanqiu Zhu, John Derber, Rahul Mahajan, Russ Treadon, Emily Liu
Publikováno v:
Monthly Weather Review. 144:4709-4735
The capability of all-sky microwave radiance assimilation in the Gridpoint Statistical Interpolation (GSI) analysis system has been developed at the National Centers for Environmental Prediction (NCEP). This development effort required the adaptation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35fd0028444d86f36e58078c811a7ecf
https://doi.org/10.1175/mwr-d-15-0445.1
https://doi.org/10.1175/mwr-d-15-0445.1
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:1479-1492
Radiance bias correction is an important and necessary step in the proper use of satellite observations in a data assimilation system. The original radiance bias-correction scheme used in the Gridpoint Statistical Interpolation (GSI) data assimilatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e13576300feb2a7ea50ec75c8567b7a
https://doi.org/10.1002/qj.2233
https://doi.org/10.1002/qj.2233
Autor:
Wanqiu Wang, Rongqian Yang, Hann-Ming Henry Juang, Stephen J. Lord, Richard W. Reynolds, Robert Kistler, John S. Woollen, Mingyue Chen, Arun Kumar, Yong Han, Yong Chen, Muthuvel Chelliah, Yu-Tai Hou, Shrinivas Moorthi, Pingping Xie, Quanhua Liu, Mitch Goldberg, Paul van Delst, Glenn Rutledge, Hua-Lu Pan, Craig S. Long, Lidia Cucurull, Sudhir Nadiga, Wayne Higgins, Cheng-Zhi Zou, Jun Wang, Suranjana Saha, Joe Sela, Daryl T. Kleist, David Behringer, Mark Iredell, Jae-Kyung E. Schemm, Michael Ek, Helin Wei, Roger Lin, Shuntai Zhou, Yan Xue, Jiande Wang, Diane Stokes, Robert Grumbine, Hui-ya Chuang, Xingren Wu, George Gayno, Russ Treadon, Haixia Liu, Boyin Huang, Dennis Keyser, Huug van den Dool, John Derber, Jesse Meng, Patrick Tripp, Wesley Ebisuzaki
Publikováno v:
Bulletin of the American Meteorological Society. 91:1015-1058
The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010. The CFSR was designed and executed as a global, high-resolution coupled atmosphere–ocean–land surface–sea ice system to pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::214bd78fa469d6b0ac882d7a27149e11
https://doi.org/10.1175/2010bams3001.1
https://doi.org/10.1175/2010bams3001.1
Publikováno v:
Weather and Forecasting. 24:1691-1705
At the National Centers for Environmental Prediction (NCEP), a new three-dimensional variational data assimilation (3DVAR) analysis system was implemented into the operational Global Data Assimilation System (GDAS) on 1 May 2007. The new analysis sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72ee070a56275a9a0e4c272f26fcbbfa
https://doi.org/10.1175/2009waf2222201.1
https://doi.org/10.1175/2009waf2222201.1
Publikováno v:
Monthly Weather Review. 137:1046-1060
The gridpoint statistical interpolation (GSI) analysis system is a unified global/regional three-dimensional variational data assimilation (3DVAR) analysis code that has been under development for several years at the National Centers for Environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710efbf0acafa3225fc67f0e1fe9d19c
https://doi.org/10.1175/2008mwr2623.1
https://doi.org/10.1175/2008mwr2623.1
Publikováno v:
Weather and Forecasting. 23:854-877
Observing system experiments (OSEs) during two seasons are used to quantify the important contributions made to forecast quality from the use of the National Oceanic and Atmospheric Administration’s (NOAA) polar-orbiting satellites. The impact is m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aefc946d50c788908f1ee18a73a9e2a1
https://doi.org/10.1175/2008waf2007065.1
https://doi.org/10.1175/2008waf2007065.1
Publikováno v:
Weather and Forecasting. 23:80-100
Extended-length observing system experiments (OSEs) during two seasons are used to quantify the contributions made to forecast quality by conventional rawinsonde data and four types of remotely sensed satellite data. The impact is measured by compari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2635173f372c03d51f9e1f87f3a6ceee
https://doi.org/10.1175/2007waf2007010.1
https://doi.org/10.1175/2007waf2007010.1
Publikováno v:
Monthly Weather Review. 136:541-559
The impact of radiance observations from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) was investigated in the National Centers for Environmental Prediction (NCEP) Global Data Assimilation System (GDAS). The GDAS used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1b8d9d7266c2aea11ffa278c47ef104
https://doi.org/10.1175/2007mwr2147.1
https://doi.org/10.1175/2007mwr2147.1
Publikováno v:
Weather and Forecasting. 22:887-909
Observing system experiments are used to quantify the contributions to the forecast made by conventional in situ and remotely sensed satellite data. The impact of each data type is assessed by comparing the analyses and forecasts based on an observin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8104ba401f453f210f2bd8376d649d14
https://doi.org/10.1175/waf1025.1
https://doi.org/10.1175/waf1025.1
Autor:
John Derber, R. Gelaro, Walter Wolf, Mitch Goldberg, John S. Woollen, Ricardo Todling, J. Joiner, Russ Treadon, Steve Lord, J. Jung, H. C. Liu, J. Le Marshall
Publikováno v:
Eos, Transactions American Geophysical Union. 86:109-116
Experimental weather forecasts at the Joint Center for Satellite Data Assimilation (JCSDA) using Atmospheric Infrared Sounder (AIRS) radiance observations indicate significant improvements in global forecast skill compared with the operational system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4c18287101d96d5f3a304a666095ec1
https://doi.org/10.1029/2005eo110002
https://doi.org/10.1029/2005eo110002