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Data · dataset · 2026

The GLACE-Hydrology Experiment: Effects of land-atmosphere coupling on soil moisture variability and predictability

Listed in National Center for Atmospheric Research

The impact of land-atmosphere anomaly coupling on land variability is investigated using a new two-stage climate model experimental design called the "GLACE-Hydrology'' experiment.

Description

First, as in the GLACE-CMIP5 experiment, twin sets of coupled land-atmosphere climate model (CAM5-CLM4.5) ensembles are performed, with each simulation using the same prescribed observed sea surface temperatures and radiative forcing for the years 1971-2014.

In one set, land-atmosphere anomaly coupling is removed by prescribing soil moisture to follow the control model's seasonally evolving soil moisture climatology ("land-atmosphere uncoupled''), enabling a contrast with the original control set ("land-atmosphere coupled''). Then, the atmospheric outputs from both sets of simulations are used to force land-only ensemble simulations, allowing investigation of the resulting soil moisture variability and memory under both the coupled and uncoupled scenarios.

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This study finds that in midlatitudes during boreal summer, land-atmosphere anomaly coupling significantly strengthens the relationship between soil moisture and evapotranspiration anomalies, both in amplitude and phase. This allows for decreased moisture exchange between the land surface and atmosphere, increasing soil moisture memory and often its variability as well. Additionally, land-atmosphere anomaly coupling impacts runoff variability, especially in wet and transition regions, and precipitation variability, although the latter has surprisingly localized impacts on soil moisture variability.

As a result of these changes, there is an increase in the signal-to-noise ratio, and thereby the potential seasonal predictability, of SST-forced hydroclimate anomalies in many areas of the globe, especially in the midlatitudes. This predictability increase is greater for soil moisture than precipitation and has important implications for the prediction of drought.

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Climate model simulation 65% · Simulation 75%
Provenance · 1 source records, 9 field assertions
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National Center for Atmospheric Research0b104d08-bfc6-4448-86c1-deb3d50c925010 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[method].local:method:climate-modelenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (65%)
concepts[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
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