Development of high-resolution regional aerosol climate model: SCALE-SPRINTARS

Abstract This study developed the integration of the Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS) aerosol module into Scalable Computing for Advanced Library and Environment (SCALE), a regional meteorological and climate model which can simulate three-dimensional aerosol distribution with extremely high spatiotemporal resolution capable of resolving cloud physics. SPRINTARS calculates aerosol transport processes as well as aerosol-radiation and aerosol-cloud interactions. The integrated model called SCALE-SPRINTARS treats the processes of the major tropospheric aerosols: sulfate, black carbon, organic matter, soil dust, and sea salt. Simulated aerosol distributions by the SCALE-SPRINTARS throughout the year targeting the Asian region were generally consistent with in-situ, satellite and reanalysis data. The SCALE-SPRINTARS is expected to serve as a fundamental tool for quantitatively assessing the impact of aerosols on local phenomena such as tropical cyclones and thunderstorms, as well as for reproducing and predicting aerosol distributions at ultra-high resolution, anticipating future advancements in computer power. Furthermore, its capability for Large Eddy Simulation-scale simulations, including aerosol-cloud interactions, brings it closer to realistically representing cloud and precipitation processes in meteorological and climate models.

Authors

Institutions

Publication Details

Journal
Journal of the Meteorological Society of Japan Ser II
Published
2026-04-01
DOI
https://doi.org/10.1007/s44394-026-00019-2
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Development of high-resolution regional aerosol climate model: SCALE-SPRINTARS

Kei Tomisawa, Yousuke Sato, Ryosuke Yasui, Toshihiko Takemura
Journal of the Meteorological Society of Japan Ser II
Atmospheric aerosols and clouds
article

Development of high-resolution regional aerosol climate model: SCALE-SPRINTARS

Kei Tomisawa, Yousuke Sato, Ryosuke Yasui, Toshihiko Takemura
article en

Abstract

Abstract This study developed the integration of the Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS) aerosol module into Scalable Computing for Advanced Library and Environment (SCALE), a regional meteorological and climate model which can simulate three-dimensional aerosol distribution with extremely high spatiotemporal resolution capable of resolving cloud physics. SPRINTARS calculates aerosol transport processes as well as aerosol-radiation and aerosol-cloud interactions. The integrated model called SCALE-SPRINTARS treats the processes of the major tropospheric aerosols: sulfate, black carbon, organic matter, soil dust, and sea salt. Simulated aerosol distributions by the SCALE-SPRINTARS throughout the year targeting the Asian region were generally consistent with in-situ, satellite and reanalysis data. The SCALE-SPRINTARS is expected to serve as a fundamental tool for quantitatively assessing the impact of aerosols on local phenomena such as tropical cyclones and thunderstorms, as well as for reproducing and predicting aerosol distributions at ultra-high resolution, anticipating future advancements in computer power. Furthermore, its capability for Large Eddy Simulation-scale simulations, including aerosol-cloud interactions, brings it closer to realistically representing cloud and precipitation processes in meteorological and climate models.

Journal of the Meteorological Society of Japan Ser IIVol. 104(1)
Kyushu University (JP), Japan Meteorological Agency (JP), Fukuoka Institute of Health and Environmental Sciences (JP), Meteorological Research Institute (JP), The University of Osaka (JP)
Environmental Restoration and Conservation Agency, Ministry of Environment, Ministry of the Environment, Government of Japan, Japan Society for the Promotion of Science
Climate action
Openalex Percentile: Top 20%
Atmospheric aerosols and clouds
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.