Seasonal to multi-year soil moisture drought forecasting

Musa Esit, Sanjiv Kumar, Ashutosh Pandey, David M. Lawrence, Imtiaz Rangwala, Stephen Yeager

Research output: Contribution to journalReview articlepeer-review

56 Scopus citations

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.

Original languageEnglish
Article number16
Journalnpj Climate and Atmospheric Science
Volume4
Issue number1
DOIs
StatePublished - Dec 2021

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