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An operational analysis of Lake Surface Water Temperature

机译:湖泊地表水温运行分析

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Operational analyses of Lake Surface Water Temperature (LSWT) have many potential uses including improvement of numerical weather prediction (NWP) models on regional scales. In November 2011, LSWT was included in the Met Office Operational Sea Surface Temperature and Ice Analysis (OSTIA) product, for 248 lakes globally. The OSTIA analysis procedure, which has been optimised for oceans, has also been used for the lakes in this first version of the product. Infra-red satellite observations of lakes and in situ measurements are assimilated. The satellite observations are based on retrievals optimised for Sea Surface Temperature (SST) which, although they may introduce inaccuracies into the LSWT data, are currently the only near-real-time information available. The LSWT analysis has a global root mean square difference of 1.31 K and a mean difference of 0.65 K (including a cool skin effect of 0.2 K) compared to independent data from the ESA ARC-Lake project for a 3-month period (June to August 2009). It is demonstrated that the OSTIA LSWT is an improvement over the use of climatology to capture the day-to-day variation in global lake surface temperatures.
机译:湖泊地表水温度(LSWT)的运行分析具有许多潜在用途,包括在区域范围内改进数值天气预报(NWP)模型。 2011年11月,LSWT被纳入了Met Office运行的海面温度和冰分析(OSTIA)产品中,覆盖了全球248个湖泊。在该产品的第一个版本中,针对海洋进行了优化的OSTIA分析程序也已用于湖泊。湖泊的红外卫星观测和原位测量被同化。卫星观测是基于针对海表温度(SST)进行了优化的检索,尽管这些观测可能将误差引入到LSWT数据中,但目前是唯一可用的近实时信息。与来自ESA ARC-Lake项目的3个月期间(6月至6月)的独立数据相比,LSWT分析的全局均方根差为1.31 K,平均差为0.65 K(包括0.2 K的冷蒙皮效应)。 2009年8月)。事实证明,OSTIA LSWT是对使用气候学技术捕获全球湖泊表面温度每日变化的改进。

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