Earth System Model Overestimation of Cropland Temperatures Scales With Agricultural Intensity

Earth System Model Overestimation of Cropland Temperatures Scales With Agricultural Intensity
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地球系统模型高估农田温度与农业强度的关系

DOI:
10.1029/2021gl097135
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发表时间:
2022
影响因子:
5.2
通讯作者:
Mankin, Justin S.
Mankin, Justin S.
中科院分区:
地球科学1区
文献类型:
--
作者:
Coffel, Ethan D.;Lesk, Corey;Mankin, Justin S.

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密集的作物生长可以改变区域气候,通过蒸腾作用将能量分配给潜热,冷却生长季节的温度。最近的研究表明,与农业相关的冷却可以抑制粮仓地区的人为变暖。然而,气候模式是否再现作物对区域气候的影响,以及全球粮仓地区未来极端气候事件的风险,目前尚不清楚。我们发现,模型高估了生长季节的温度,低估了全球农田的蒸散量(ET),这些差异与种植面积增加。我们跟踪这种温暖和干燥的差异,通过每个模型的代表性的表面能量收支,显示模型的差异,在蒸腾,叶面积指数,和蒸腾量与总ET的比例驱动的整体效果。虽然这些模型缺陷对未来预测的影响尚不确定,但它们指出了改善作物气候过程的代表性以更好地评估粮仓对气候变化的脆弱性的重要性。
Intensive crop growth can modify regional climate by partitioning energy to latent heating through transpiration, cooling growing season temperatures. Recent work shows that cooling associated with agriculture can dampen anthropogenic warming over breadbasket regions. However, it is unknown whether climate models reproduce crop influences on regional climate, and thus the future risk of extreme climate events over global breadbasket regions. We show that models overestimate growing season temperatures and underestimate evapotranspiration (ET) over global croplands, and that these differences increase with cropped area. We trace this warm and dry difference through each model's representation of the surface energy budget, showing that model differences in transpiration, leaf area index, and the ratio of transpiration to total ET drive the overall effect. While the implications of these model deficiencies for future projections are uncertain, they point to the importance of improving representations of crop‐climate processes to better assess breadbasket vulnerability to climate change.
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