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Data · dataset · 2026

Seasonal to multi-year soil moisture drought forecasting

Listed in National Center for Atmospheric Research

Soil moisture predictability on seasonal to decadal (S2D) continuum timescales over North America is examined from the Community Earth System Modeling (CESM) experiments.

Description

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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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research6bb804dc-5e29-48d0-bae7-f998abe8c7ca11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3709enrichment · data ucar edutaxonomy-embedding@1.0.0title+keywords+description (73%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0