4.8 Article

Land-atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1904955116

关键词

soil moisture; vapor pressure deficit; compound extreme events; GLACE-CMIP5

资金

  1. LamontDoherty Postdoctoral Fellowship
  2. Earth Institute Postdoctoral Research Program
  3. NASA ROSES Terrestrial hydrology [NNH17ZDA00IN-THP]
  4. NOAA [MAPP NA17OAR4310127]
  5. NASA Modeling, Analysis, and Prediction (MAP) program [NASA 80NSSC17K0265]
  6. Columbia University's Center for Climate and Life
  7. Lamont-Doherty Earth Observatory [8347]

向作者/读者索取更多资源

Compound extremes such as cooccurring soil drought (low soil moisture) and atmospheric aridity (high vapor pressure deficit) can be disastrous for natural and societal systems. Soil drought and atmospheric aridity are 2 main physiological stressors driving widespread vegetation mortality and reduced terrestrial carbon uptake. Here, we empirically demonstrate that strong negative coupling between soil moisture and vapor pressure deficit occurs globally, indicating high probability of cooccurring soil drought and atmospheric aridity. Using the Global Land Atmosphere Coupling Experiment (GLACE)-CMIP5 experiment, we further show that concurrent soil drought and atmospheric aridity are greatly exacerbated by land-atmosphere feedbacks. The feedback of soil drought on the atmosphere is largely responsible for enabling atmospheric aridity extremes. In addition, the soil moisture-precipitation feedback acts to amplify precipitation and soil moisture deficits in most regions. CMIP5 models further show that the frequency of concurrent soil drought and atmospheric aridity enhanced by land-atmosphere feedbacks is projected to increase in the 21st century. Importantly, land-atmosphere feedbacks will greatly increase the intensity of both soil drought and atmospheric aridity beyond that expected from changes in mean climate alone.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据