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On the Use of QuikSCAT Scatterometer Measurements of Surface Winds for Marine Weather Prediction

机译:关于使用QuikSCAT散射仪测量地表风来进行海洋天气预报

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The value of Quick Scatterometer (QuikSCAT) measurements of 10-m ocean vector winds for marine weather prediction is investigated from two Northern Hemisphere case studies. The first of these focuses on an intense cyclone with hurricane-force winds that occurred over the extratropical western North Pacific on 10 January 2005. The second is a 17 February 2005 example that is typical of sea surface temperature influence on low-level winds in moderate wind conditions in the vicinity of the Gulf Stream in the western North Atlantic. In both cases, the analyses of 10-m winds from the NCEP and ECMWF global numerical weather prediction models considerably underestimated the spatial variability of the wind field on scales smaller than 1000 km compared with the structure determined from QuikSCAT observations. The NCEP and ECMWF models both assimilate QuikSCAT observations. While the accuracies of the 10-m wind analyses from these models measurably improved after implementation of the QuikSCAT data assimilation, the information content in the QuikSCAT data is underutilized by the numerical models. QuikSCAT data are available in near-real time in the NOAA/NCEP Advanced Weather Interactive Processing System (N-AWIPS) and are used extensively in manual analyses of surface winds. The high resolution of the QuikSCAT data is routinely utilized by forecasters at the NOAA/NCEP Ocean Prediction Center, Tropical Prediction Center, and other NOAA weather forecast offices to improve the accuracies of wind warnings in marine forecasts.
机译:通过两个北半球案例研究,研究了10 m海洋矢量风的快速散射仪(QuikSCAT)测量对海洋天气预报的价值。第一个关注于2005年1月10日在北太平洋温带西部发生的强飓风,带有飓风风。第二个关注于2005年2月17日,典型地表现为海表温度对中等强度低风的影响北大西洋西部墨西哥湾流附近的风力条件。在这两种情况下,与从QuikSCAT观测确定的结构相比,对NCEP和ECMWF全球数值天气预报模型进行的10米风的分析都大大低估了风场的空间变异性(小于1000 km)。 NCEP和ECMWF模型都吸收了QuikSCAT观测值。在实施QuikSCAT数据同化后,虽然从这些模型进行的10米风速分析的准确性得到了显着提高,但数值模型并未充分利用QuikSCAT数据中的信息内容。在NOAA / NCEP高级天气互动处理系统(N-AWIPS)中,几乎可以实时获取QuikSCAT数据,并广泛用于地表风的手动分析中。 NOAA / NCEP海洋预报中心,热带预报中心和其他NOAA天气预报办公室的预报员通常使用QuikSCAT数据的高分辨率,以提高海洋预报中的风警准确性。

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