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首页> 外文期刊>Journal of Climate >The Impact of Incongruous Lake Temperatures on Regional Climate Extremes Downscaled from the CMIP5 Archive Using the WRF Model
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The Impact of Incongruous Lake Temperatures on Regional Climate Extremes Downscaled from the CMIP5 Archive Using the WRF Model

机译:使用WRF模型,来自CMIP5档案的区域气候极端对区域气候极端的影响

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摘要

The impact of incongruous lake temperatures is demonstrated using the Weather Research and Forecasting (WRF) Model to downscale global climate fields. Unrealistic lake temperatures prescribed by the default WRF configuration cause obvious biases near the lakes and also affect predicted extremes hundreds of kilometers from the lakes, especially during winter. Using these default temperatures for the Great Lakes in winter creates a thermally induced wave in the modeled monthly average sea level pressure field, which reaches southern Florida. Differences of more than 0.5 K in monthly average daily maximum 2-m temperature occur along that wave during winter. Noteworthy changes to temperature variability, precipitation, and mesoscale circulation also occur when the default method is used for downscaling. Consequently, improperly setting lake temperatures for downscaling could result in misinterpreting changes in regional climate and adversely affect applications reliant on downscaled data, even in areas remote from the lakes.
机译:使用天气研究和预测(WRF)模型来证明不协调的湖温的影响,以降低全球气候领域。默认WRF配置规定的不切实际的湖温度导致湖泊附近的明显偏见,并且还影响距离湖泊数百公里的预测极值,特别是在冬季。在冬季使用这些默认温度为大湖泊创造了模型月平均海平面压力场中的热诱导波,该电压域为佛罗里达州南部。每月平均每日2米的每月平均最大2米温度的差异发生在冬季。当默认方法用于缩小时,也会出现对温度可变性,降水和Messcale循环的值得注意的变化。因此,较不正当地设定较低的湖泊的温度可能导致区域气候的变化误解,并对遥控器数据的应用求依赖于较级别的应用,即使在远离湖泊的区域中也是如此。

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