Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD031767 |
GEOS-S2S Version 2: The GMAO High-Resolution Coupled Model and Assimilation System for Seasonal Prediction | |
Molod, Andrea1; Hackert, Eric1; Vikhliaev, Yury1,2; Zhao, Bin1,2; Barahona, Donifan1; Vernieres, Guillaume3,4; Borovikov, Anna1,2; Kovach, Robin M.1,2; Marshak, Jelena1; Schubert, Siegfried1,2; Li, Zhao1,2; Lim, Young-Kwon1,5; Andrews, Lauren C.1; Cullather, Richard1,6; Koster, Randal1; Achuthavarier, Deepthi1,7; Carton, James6; Coy, Lawrence1,2; Friere, Julliana L. M.1,8; Longo, Karla M.1,7; Nakada, Kazumi1,2; Pawson, Steven1 | |
2020-03-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2020 |
卷号 | 125期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Brazil |
英文摘要 | The Global Modeling and Assimilation Office (GMAO) has recently released a new version of the Goddard Earth Observing System (GEOS) Subseasonal to Seasonal prediction (S2S) system, GEOS-S2S-2, that represents a substantial improvement in performance and infrastructure over the previous system. The system is described here in detail, and results are presented from forecasts, climate equillibrium simulations, and data assimilation experiments. The climate or equillibrium state of the atmosphere and ocean showed a substantial reduction in bias relative to GEOS-S2S-1. The GEOS-S2S-2 coupled reanalysis also showed substantial improvements, attributed to the assimilation of along-track absolute dynamic topography. The forecast skill on subseasonal scales showed a much improved prediction of the Madden-Julian Oscillation in GEOS-S2S-2, and on a seasonal scale the tropical Pacific forecasts show substantial improvement in the east and comparable skill to GEOS-S2S-1 in the central Pacific. GEOS-S2S-2 anomaly correlations of both land surface temperature and precipitation were comparable to GEOS-S2S-1 and showed substantially reduced root-mean-square error of surface temperature. The remaining issues described here are being addressed in the development of GEOS-S2S Version 3, and with that system GMAO will continue its tradition of maintaining a state-of-the-art seasonal prediction system for use in evaluating the impact on seasonal and decadal forecasts of assimilating newly available satellite observations, as well as evaluating additional sources of predictability in the Earth system through the expanded coupling of the Earth system model and assimilation components. |
英文关键词 | Atmosphere-Ocean Modeling Atmosphere-Ocean Data Assimilation Seasonal and Subseasonal Prediction |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000519602000016 |
WOS关键词 | ARCTIC SEA-ICE ; OCEAN DATA ASSIMILATION ; GENERAL-CIRCULATION ; GLOBAL OCEAN ; ATMOSPHERIC RESPONSE ; NORTHERN-HEMISPHERE ; POTENTIAL PREDICTABILITY ; INDONESIAN THROUGHFLOW ; EQUATORIAL PACIFIC ; CLIMATE IMPACTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/280109 |
专题 | 气候变化 |
作者单位 | 1.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 2.Sci Syst & Applicat Inc, SSAI, Lanham, MD USA; 3.UCAR, Boulder, CO USA; 4.UCAR, NOAA, JCSDA, College Pk, MD USA; 5.Goddard Earth Sci Technol & Res, IM Syst Grp, College Pk, MD USA; 6.Univ Maryland, Atmospher & Ocean Sci, College Pk, MD 20742 USA; 7.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD USA; 8.Natl Inst Space Res INPE, Ctr Weather Forecast & Climate Studies, Cachoeira Paulista, Brazil |
推荐引用方式 GB/T 7714 | Molod, Andrea,Hackert, Eric,Vikhliaev, Yury,et al. GEOS-S2S Version 2: The GMAO High-Resolution Coupled Model and Assimilation System for Seasonal Prediction[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(5). |
APA | Molod, Andrea.,Hackert, Eric.,Vikhliaev, Yury.,Zhao, Bin.,Barahona, Donifan.,...&Pawson, Steven.(2020).GEOS-S2S Version 2: The GMAO High-Resolution Coupled Model and Assimilation System for Seasonal Prediction.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(5). |
MLA | Molod, Andrea,et al."GEOS-S2S Version 2: The GMAO High-Resolution Coupled Model and Assimilation System for Seasonal Prediction".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.5(2020). |
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