Simplified Cloud‐Topped Mixed Layer Model Explains Observed Spatial Pattern of Soil Moisture‐Precipitation Feedback Across the Conterminous United States

Abstract Inconsistent findings in soil moisture (SM)‐precipitation feedback literature motivate further research into the role of the boundary layer in these feedbacks. The present study explores mechanisms that can explain the spatial patterns found in a previous analysis employing satellite measured SM: positive feedback in the semi‐arid western U.S. (higher morning SM predicting greater likelihood of afternoon rainfall), and negative feedback in the humid east. Using a cloud–topped boundary layer model, we examine how evaporative fraction (EF, a proxy for SM) influences cloud mass flux (CMF). We then use logistic regression to relate CMF to precipitation. The results are consistent with the previous analysis: in semi‐arid areas, increased humidification with increased EF dominates CMF strength, yielding net positive feedbacks; in humid areas, reductions in convective velocity with increasing EF dominate the CMF, yielding net negative feedbacks. Such offsetting feedbacks may contribute to inconsistencies reported in the literature.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-11-03
DOI
https://doi.org/10.1029/2024gl111543
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simplified Cloud‐Topped Mixed Layer Model Explains Observed Spatial Pattern of Soil Moisture‐Precipitation Feedback Across the Conterminous United States

Guido D. Salvucci, Kyoungho Ryu
Geophysical Research Letters
Precipitation Measurement and Analysis
article

Simplified Cloud‐Topped Mixed Layer Model Explains Observed Spatial Pattern of Soil Moisture‐Precipitation Feedback Across the Conterminous United States

Guido D. Salvucci, Kyoungho Ryu
article en

Abstract

Abstract Inconsistent findings in soil moisture (SM)‐precipitation feedback literature motivate further research into the role of the boundary layer in these feedbacks. The present study explores mechanisms that can explain the spatial patterns found in a previous analysis employing satellite measured SM: positive feedback in the semi‐arid western U.S. (higher morning SM predicting greater likelihood of afternoon rainfall), and negative feedback in the humid east. Using a cloud–topped boundary layer model, we examine how evaporative fraction (EF, a proxy for SM) influences cloud mass flux (CMF). We then use logistic regression to relate CMF to precipitation. The results are consistent with the previous analysis: in semi‐arid areas, increased humidification with increased EF dominates CMF strength, yielding net positive feedbacks; in humid areas, reductions in convective velocity with increasing EF dominate the CMF, yielding net negative feedbacks. Such offsetting feedbacks may contribute to inconsistencies reported in the literature.

Geophysical Research LettersVol. 52(21)
Boston University (US)
National Aeronautics and Space Administration, Nuclear Safety and Security Commission
Openalex Percentile: Top 63%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simplified Cloud‐Topped Mixed Layer Model Explains Observed Spatial Pattern of Soil Moisture‐Precipitation Feedback Across the Conterminous United States — Guido D. Salvucci, Kyoungho Ryu · Geophysical Research Letters (2025) | TGRS Research Map | TGRS