<p>Reference crop evapotranspiration (ET<sub>0</sub>) is essential for determining crop water requirements and developing irrigation strategies. In this study, ET<sub>0</sub> was calculated via the FAO-56 Penman-Monteith model, and the spatiotemporal variations in ET<sub>0</sub> over China from 1960 to 2019 were analyzed. We then quantified the contributions of five driving factors (air temperature, wind speed, relative humidity, sunshine hours, and CO<sub>2</sub> concentration) to the ET<sub>0</sub> trends via a detrending experiment. The results revealed that nationwide ET<sub>0</sub> showed no significant (<i>p</i>&gt;0.05) decreasing trend from 1960 to 2019, with a trend of −8.56×10<sup>−2</sup> mm a<sup>−2</sup>. The average temperature and wind speed were identified as the dominant factors affecting ET<sub>0</sub> trends at the national scale. The contributions of the driving factors to the ET<sub>0</sub> trends were ranked in the following order: average temperature (21.3%) &gt; wind speed (−15.63%) &gt; sunshine hours (−11.99%) &gt; CO<sub>2</sub> concentration (6.36%) &gt; relative humidity (3.58%). Spatially, the dominant factors influencing the ET0 trends varied widely. In the southeastern region, average temperature and sunshine hours dominated the trends of ET<sub>0</sub>, whereas wind speed and average temperature were the dominant factors in the northwestern region. The findings provide valuable insights into the dominant factors affecting ET<sub>0</sub> trends in China and highlight the importance of considering different driving factors in calculating crop water requirements.</p>

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Attribution analysis of trends in reference crop evapotranspiration in China

  • Yue Liu,
  • Mengjing Guo,
  • Jing Li,
  • Na Lyu,
  • Junqi Zhang,
  • Bowen Zhang

摘要

Reference crop evapotranspiration (ET0) is essential for determining crop water requirements and developing irrigation strategies. In this study, ET0 was calculated via the FAO-56 Penman-Monteith model, and the spatiotemporal variations in ET0 over China from 1960 to 2019 were analyzed. We then quantified the contributions of five driving factors (air temperature, wind speed, relative humidity, sunshine hours, and CO2 concentration) to the ET0 trends via a detrending experiment. The results revealed that nationwide ET0 showed no significant (p>0.05) decreasing trend from 1960 to 2019, with a trend of −8.56×10−2 mm a−2. The average temperature and wind speed were identified as the dominant factors affecting ET0 trends at the national scale. The contributions of the driving factors to the ET0 trends were ranked in the following order: average temperature (21.3%) > wind speed (−15.63%) > sunshine hours (−11.99%) > CO2 concentration (6.36%) > relative humidity (3.58%). Spatially, the dominant factors influencing the ET0 trends varied widely. In the southeastern region, average temperature and sunshine hours dominated the trends of ET0, whereas wind speed and average temperature were the dominant factors in the northwestern region. The findings provide valuable insights into the dominant factors affecting ET0 trends in China and highlight the importance of considering different driving factors in calculating crop water requirements.