Anideal Reference Dry and Wet Limits for Estimation ET by Rmoote Sense Model

来源 :35th IAHR World Congress(第三十五届国际水利学大会) | 被引量 : 0次 | 上传用户：wdbbzl

【摘要】

：

The selection of extreme dry/wet limit adopting in many popular remote sensing-based ET models will increase a significant uncertainty to the model outputs.

【作者】

：

Zhongjing Wang Ting Xiang

【出处】

：

35th IAHR World Congress(第三十五届国际水利学大会)

【发表日期】

：

2013年2期

【关键词】

：

Ideal wet limit I-REDRAW Algorithm comparison Remote sensing-based ET model

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The selection of extreme dry/wet limit adopting in many popular remote sensing-based ET models will increase a significant uncertainty to the model outputs.

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Anideal Reference Dry and Wet Limits for Estimation ET by Rmoote Sense Model

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