Seasonal to multi-year soil moisture drought forecasting

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作者
Musa Esit
Sanjiv Kumar
Ashutosh Pandey
David M. Lawrence
Imtiaz Rangwala
Stephen Yeager
机构
[1] Auburn University,Earth System Science Program, School of Forestry and Wildlife Sciences
[2] Gaziantep University,Department of Hydrology
[3] Indian Institute of Technology,Center for Atmospheric Sciences
[4] National Center for Atmospheric Research,Cooperative Institute for Research in Environmental Sciences
[5] University of Colorado,North Central Climate Adaptation Science Center
[6] University of Colorado,undefined
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摘要
Soil moisture predictability on seasonal to decadal (S2D) continuum timescales over North America is examined from the Community Earth System Modeling (CESM) experiments. The effects of ocean and land initializations are disentangled using two large ensemble datasets—initialized and uninitialized experiments from the CESM. We find that soil moisture has significant predictability on S2D timescales despite limited predictability in precipitation. On sub-seasonal to seasonal timescales, precipitation variability is an order of magnitude greater than soil moisture, suggesting land surface processes, including soil moisture memory, reemergence, land–atmosphere interactions, transform a less predictable precipitation signal into a more predictable soil moisture signal.
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