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An evaporation estimation method based on the coupled 2-D turbulent heat and vapor transport equations

机译:一种基于耦合二维湍流热蒸汽输运方程的蒸发估算方法

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摘要

The analytical solution of the coupled turbulent diffusion equations of heat and vapor transport across a moisture discontinuity under near-neutral atmospheric conditions and constant energy available at the evaporating surface yields a simple equation (i.e., the wet-surface equation [WSE]) that relates the change in surface temperature to the change in the land surface moisture content as the environment dries. With the help of percent possible sunshine, air temperature, and humidity measurements at selected weather stations as well as land surface temperature values from MODIS data, monthly, warm-season evaporation rates were estimated for five rectangular regions across the contiguous U.S. employing the WSE. The so-derived monthly evaporation rates correlated very strongly (R2 = 0.95) with traditional complementary relationship-derived evaporation estimates using the same weather-station data. Even on an annual basis the correlation remained unchanged. WSE with no tunable parameters may in the future help in calibration and validation of other evaporation estimation techniques that may or may not rely on land surface temperature data.
机译:在接近中性的大气条件下,通过水分不连续性的热和蒸汽传输的耦合湍流扩散方程的解析解和在蒸发表面可获得的恒定能量产生了一个简单的方程(即,湿表面方程[WSE])随着环境的干燥,地表温度的变化到陆地表面水分含量的变化。借助在选定气象站的可能的日照,空气温度和湿度测量百分比以及MODIS数据中的地表温度值,采用WSE的美国连续五个地区估计了每月的暖季蒸发率。这样得出的月蒸发率与使用相同气象站数据的传统互补关系得出的蒸发估计值之间的相关性非常强(R2 = 0.95)。即使每年,相关性也保持不变。没有可调参数的WSE将来可能会帮助校准和验证可能依赖于地表温度数据的其他蒸发估算技术。

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