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Seasonal to multi-year soil moisture drought forecasting

Authors :
Stephen Yeager
Ashutosh Kumar Pandey
Imtiaz Rangwala
Musa Esit
Sanjiv Kumar
David M. Lawrence
Source :
npj Climate and Atmospheric Science, Vol 4, Iss 1, Pp 1-8 (2021)
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

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.

Details

ISSN :
23973722
Volume :
4
Database :
OpenAIRE
Journal :
npj Climate and Atmospheric Science
Accession number :
edsair.doi.dedup.....4d80c45e137008b096f78e1102cc4615
Full Text :
https://doi.org/10.1038/s41612-021-00172-z