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A calibration-free, robust estimation of monthly land surface evapotranspiration rates for continental-scale hydrology

机译:无标定,可靠的大陆规模水文学月表蒸散速率估算

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摘要

Continuous simulation of monthly evapotranspiration rates for 1979–2015 was performed by the latest, calibration-free version of the complementary relationship of evaporation over the conterminous United States. The results were compared to similar estimates of the WREVAP program and the North American Regional Reanalysis (NARR) project. Validation of the three methods was performed by the Parameter-Elevation Regressions on Independent Slopes Model precipitation and Hydrologic Unit Code level-6 runoff data. The present method outperforms the WREVAP and NARR estimates with a root-mean-square error (RMSE) of 89 mm yr~(−1), an R~(2)value of 0.87, an absolute bias ( σ ) of −5 mm yr~(−1), and slope ( m ) and intercept ( c ) values of 0.97 and 22 mm yr~(−1), respectively, for the best-fit line, in comparison to similar values (RMSE = 161 mm yr~(−1), R~(2)= 0.8, σ = 124 yr~(–1)mm yr~(−1), m = 0.88, c = 191 mm yr~(−1); and RMSE = 195 mm yr~(−1), R~(2)= 0.81, σ = 146 mm yr~(−1), m = 1.05, c = 120 mm yr~(−1)) of the latter two methods. The value of the Priestley–Taylor (PT) coefficient was determined by inversion of the PT-equation via a model-independent identification of wet cells and their estimated surface temperatures.
机译:1979-2015年间每月蒸发蒸腾速率的连续模拟是通过最新的,无标定的蒸发形式对美国本土的互补关系进行的。将结果与WREVAP计划和北美区域再分析(NARR)项目的类似估计进行了比较。三种方法的验证通过独立斜坡模型降水的参数高程回归和水文单位代码6级径流数据进行。本方法优于WREVAP和NARR估计,均方根误差(RMSE)为89毫米yr〜(-1),R〜(2)值为0.87,绝对偏差(σ)为-5毫米最佳拟合线的yr〜(-1)和斜率(m)和截距(c)值分别为0.97和22 mm yr〜(-1),与类似值相比(RMSE = 161 mm yr 〜(-1),R〜(2)= 0.8,σ= 124 yr〜(-1)mm yr〜(-1),m = 0.88,c = 191 mm yr〜(-1); RMSE = 195后两种方法的mm yr〜(-1),R〜(2)= 0.81,σ= 146 mm yr〜(-1),m = 1.05,c = 120 mm yr〜(-1))。 Priestley-Taylor(PT)系数的值是通过与模型无关的湿电池及其估计表面温度的识别通过对PT方程求逆来确定的。

著录项

  • 来源
    《Nordic hydrology》 |2018年第4期|648-657|共10页
  • 作者

    Jozsef Szilagyi;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:09:00

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