科技报告详细信息
GEOS S2S-2_1: The GMAO High Resolution Seasonal Prediction System
Molod, Andrea ; Hackert, Eric ; Achuthavarier, Deepthi ; Akella, Santha ; Andrews, Lauren ; Arnold, Nathan ; Barahona, Donifan ; Borovikov, Anna ; Cullather, Richard ; Kovach, Robin(Science Systems and Applications, Inc, Lanham, MD, United States)
关键词: AEROSOLS;    HINDCASTING;    ASSIMILATION;    IN SITU MEASUREMENT;    OCEAN DATA ACQUISITIONS SYSTEMS;    PRECIPITATION MEASUREMENT;    SEA ICE;    WEATHER FORECASTING;    SURFACE TEMPERATURE;    TROPICAL REGIONS;    AIR WATER INTERACTIONS;    ATMOSPHERIC MODELS;    ICE ENVIRONMENTS;    METEOROLOGICAL SATELLITES;    PERTURBATION;    PREDICTION ANALYSIS TECHNIQUES;   
RP-ID  :  GSFC-E-DAA-TN64354
学科分类:地球科学(综合)
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

A new version of the coupled modeling and analysis system used to produce near real time subseasonal to seasonal forecasts was recently released by the NASA/Goddard Global Modeling and Assimilation Office. The new version runs at higher atmospheric resolution than the previous, (approximately 1/2 degree globally), contains a substantially improved model description of the cryosphere, and includes additional interactive earth system model components (aerosol model). In addition, the Ocean data assimilation system has been replaced with a Local Ensemble Transform Kalman Filter, and now includes the assimilation of along-track sea surface height. Here will describe the new system, along with the plans for the future (GEOS S2S-3_0) which will include a higher resolution ocean model and more interactive earth system model components (interactive vegetation, biomass burning from fires). We will also present results from a series of retrospective seasonal forecasts. Results show significant improvements in surface temperatures over much of the northern hemisphere and a much improved prediction of sea ice extent in both hemispheres. Analysis of the ensemble spread shows improvements relative to the previous system, including generally better reliability. The precipitation forecast skill is comparable to previous S2S systems, and the only tradeoff is an increased "double ITCZ", which is expected as we go to higher atmospheric resolution.

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