Unraveling Atmosphere and Surface Boundary Interactions Behind Extreme Tropical Rainfall: A Case Study in Indonesia Using Fully Coupled Atmosphere‐Hydrology Simulations

Abstract This study investigates the interactions of ocean and land surface boundary conditions with the atmosphere during extreme rainfall associated with the flooding over South Kalimantan on January 10–18, 2021. The interactions are analyzed through a set of sensitivity tests that involve perturbations in ocean and soil surface conditions. Our results indicate that wet soil conditions alleviate inland rainfall propagation from the ocean by promoting deep convection through the modulation of background winds, while dryer soil weakens the convective rainfall and limits the convective initiation to localized regions. Additionally, flooded surfaces enhance wind flow, allowing moisture to spread over a broad area. Ocean surface feedback to rainfall only exhibits positive feedback over the ocean, while inland rainfall is more complex, driven primarily by wind dynamics. Under extreme synoptic conditions, background winds, forced by gravity waves and Madden‐Julian Oscillation, play a more significant role in modulating rainfall propagation than land‐sea breezes or diurnal temperature cycle. Ultimately, in an energy‐controlled regime, atmospheric dynamics are found to be the dominant factors in the ocean‐land‐atmosphere interactions, with surface fluxes partitioning playing a secondary role.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-03-29
DOI
https://doi.org/10.1029/2024ms004730
Citations
4
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
4.42

Funders

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

Unraveling Atmosphere and Surface Boundary Interactions Behind Extreme Tropical Rainfall: A Case Study in Indonesia Using Fully Coupled Atmosphere‐Hydrology Simulations

Asrini Chrysanti, Sangyoung Son
4 citations
Journal of Advances in Modeling Earth Systems
Climate variability and models
4.42
article

Unraveling Atmosphere and Surface Boundary Interactions Behind Extreme Tropical Rainfall: A Case Study in Indonesia Using Fully Coupled Atmosphere‐Hydrology Simulations

Asrini Chrysanti, Sangyoung Son
article en
4 citations

Abstract

Abstract This study investigates the interactions of ocean and land surface boundary conditions with the atmosphere during extreme rainfall associated with the flooding over South Kalimantan on January 10–18, 2021. The interactions are analyzed through a set of sensitivity tests that involve perturbations in ocean and soil surface conditions. Our results indicate that wet soil conditions alleviate inland rainfall propagation from the ocean by promoting deep convection through the modulation of background winds, while dryer soil weakens the convective rainfall and limits the convective initiation to localized regions. Additionally, flooded surfaces enhance wind flow, allowing moisture to spread over a broad area. Ocean surface feedback to rainfall only exhibits positive feedback over the ocean, while inland rainfall is more complex, driven primarily by wind dynamics. Under extreme synoptic conditions, background winds, forced by gravity waves and Madden‐Julian Oscillation, play a more significant role in modulating rainfall propagation than land‐sea breezes or diurnal temperature cycle. Ultimately, in an energy‐controlled regime, atmospheric dynamics are found to be the dominant factors in the ocean‐land‐atmosphere interactions, with surface fluxes partitioning playing a secondary role.

Journal of Advances in Modeling Earth SystemsVol. 17(4)
Bandung Institute of Technology (ID), Korea University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 6%
Climate variability and models
4.42
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.