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A Comparison between Evapotranspiration Estimates based on Remotely Sensed Surface Energy Balance and Ground-based Soil Water Balance Analyses

机译:基于遥感表面能平衡的蒸散量估算与地面土壤水分平衡分析的比较

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Remotely sensed and in-situ data were used to investigate dynamics of root zone soil moisture and evapotranspiration (ET) at four Mesonet stations in north-central Oklahoma over an 11-year period (2000-2010). Two moisture deficit indicators based on soil matric potential had spatial and temporal patterns that were consistent with collected precipitation and reference ET data, as well as the state-wide historical trends. Actual ET was estimated by closing the soil water balance using in-situ soil moisture data, as well as by applying a surface energy balance approach to Landsat Thematic Mapper 5 imagery. When averaged over all years, weekly ET estimates with both approaches had a small mean signed difference (0.5 mm·week~(-1)), but a large root mean square deviation (11.6 mm·week~(-1)). This difference may be partly due to errors caused by interpolation of ET estimates between less-frequent satellite overpasses. Averaging over longer periods or modifying the interpolation methods may improve the accuracies for short-term remotely sensed ET estimates.
机译:在11年期间(2000-2010年),使用遥感和现场数据调查了俄克拉荷马州中北部四个Mesonet站的根区土壤水分和蒸散(ET)的动态。基于土壤基质势的两个水分亏缺指标具有与收集的降水和参考ET数据以及全州范围的历史趋势一致的时空格局。通过使用土壤水分原位数据关闭土壤水平衡以及对Landsat Thematic Mapper 5图像应用表面能平衡方法来估算实际ET。如果将所有方法的年均ET估计值平均化,则均值符号差异较小(0.5 mm·周〜(-1)),但均方根偏差较大(11.6 mm·周〜(-1))。这种差异可能部分是由于不太频繁的卫星天桥之间的ET估算值的内插引起的误差。平均更长的时间或修改插值方法可以提高短期遥感ET估计的准确性。

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