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首页> 外文期刊>Geophysical Research Letters >A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction
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A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction

机译:初识气候预报系统版本2(CFSv2)的水文季节预报

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摘要

NOAA's National Centers for Environmental Prediction (NCEP) has transitioned to operationally use the second generation of their coupled ocean-atmosphere-land model, the Climate Forecast System version 2 (CFSv2), with advanced physics, increased resolution and refined initialization to improve the seasonal climate forecasts. We present a first look at the capability of CFSv2 on surface air temperature and precipitation predictions based on analyzing the 28-year (1982-2009) reforecasts. These variables are primary inputs to hydrological seasonal forecast procedures. Averaged globally, the CFSv2 increases the predictive skill for month-1 land surface air temperature and precipitation from the CFSv1 by 37% and 29%, respectively. The CFSv2 has comparable performance to the latest ECMWF model, the best among the current European seasonal forecast models. The soil moisture produced by CFSv2 also provides useful information in identifying several major drought events, especially over tropical regions. Though there is limited skill beyond month-1, the CFSv2 does show promising features for advancing hydrological forecast and application studies.
机译:美国国家海洋和大气管理局(NOAA)的国家环境预测中心(NCEP)已经过渡为可操作地使用其第二代海洋-大气-陆地耦合模型,即气候预测系统版本2(CFSv2),该模型具有先进的物理技术,提高的分辨率和精细的初始化以改善季节性气候预测。我们通过分析28年(1982-2009年)的重新预报,初步了解CFSv2在地表气温和降水预报上的能力。这些变量是水文季节预报程序的主要输入。在全球范围内平均而言,CFSv2将对CFSv1的第1个月地表气温和降水的预测能力分别提高了37%和29%。 CFSv2的性能可与最新的ECMWF模型相媲美,这是当前欧洲季节性预测模型中最好的。 CFSv2产生的土壤水分还为确定几种主要干旱事件(尤其是热带地区)提供了有用的信息。尽管第一个月之后的技能有限,但是CFSv2确实显示出有前途的功能,可以促进水文预报和应用研究。

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