| Applicability of reference evapotranspiration estimation model in different climatic regions of Inner Mongolia |
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| DOI：10.7606/j.issn.1000-7601.2022.02.27 |
| Key Words: reference crop evapotranspiration (ET0) estimation model global performance indicator (GPI) climatic region Inner Mongolia Autonomous Region |
| Author Name | Affiliation | | GAO Xiaoyu | Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China | | ZHANG Sha | Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China | | QU Zhongyi | Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China | | TANG Pengcheng | Institute of Water Resources for Pastoral Area, China Institute of Water Resources and Hydropower Research, Hohhot, Inner Mongolia 010020, China | | HUO Zailin | Centre for Agricultural Water Research in China, Beijing 100083, China |
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| Abstract: |
| Based on the meteorological data from 1951 to 2013 corresponding to 50 sites throughout the Inner Mongolia Autonomous Region, this study made a detailed statistical analysis of the 33 ET0 models available in the literature. Ten statistical indicators were used to assess the performance of the models. And a global performance indicator (GPI) was introduced to rank the models. The results showed that in hyper\|arid and arid areas, the GPI was shown in mass transfer\|based (MTB), temperature\|based (TB), and simplified FAO-56 PM (SPM) models being close to 1, which reflects the good simulation effect, while radiation\|based (RB) model were amongst the worst performers. In the dry sub\|humid and moist sub\|humid areas, a better GPI was shown in SPM and RB models were higher and the simulation effect were better. For example, the GPI of M1 (RB) being 1.0 in the moist sub\|humid area. Considering the convenience of models, Temperature\|based (TB) models are the most suitable models in the relatively arid areas, while RB models are more accurate in relatively humid areas. |
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