Decision Support System
SADEWA
Satellite Disaster Early Warning System
Monitors and predicts extreme rainfall events that potentially cause floods and landslides across Indonesia.
The Air-Sea Interaction and Climate Variability Research Group (ASICLIVAR) is a research group under the Research Center for Climate and Atmosphere (PRIMA), National Research and Innovation Agency (BRIN), focused on understanding air-sea interaction dynamics and climate variability across the Indonesian Maritime Continent.
Through observation, modeling, and the development of Decision Support Systems (DSS), this research group supports five priority research clusters under the 2024–2029 National Mid-Term Development Plan (RPJMN), ranging from precision agriculture to transportation safety and renewable energy.
“The equatorial maritime continent holds remarkable complexity — our task is to turn that complexity into knowledge and decision support systems that truly benefit society.”
Prof. Dr. Erma Yulihastin, S.Si., M.Si.
Chief Scientist / Group Leader — ASICLIVAR
The scientific hierarchy at ASICLIVAR is designed to be tiered, mentoring early-career researchers and research students through direct guidance from senior researchers.
Group Leader & Professor Researcher
PhD Candidate & permanent researchers
Advanced postdoctoral research
Master & doctoral students, research interns
ASICLIVAR develops a range of Decision Support Systems (DSS) based on observation, satellite data, and atmospheric modeling to support hydrometeorological disaster mitigation, food security, and transportation safety across Indonesia.
Satellite Disaster Early Warning System
Monitors and predicts extreme rainfall events that potentially cause floods and landslides across Indonesia.
Maritime Forecasting System
Delivers real-time information on ship positions, fishing zones, and marine weather to ensure maritime safety and productivity.
Medium-Term Early Season Assessment
Provides high-resolution atmospheric observations and predictions to support smart farming and food security across the region.
AI-Based Extreme Weather Prediction
An advanced high-resolution weather prediction model integrating deep learning for hydrometeorological disaster mitigation.
Salt Pond Almanac
Provides weather recommendations and dry day forecasts specifically designed to support national salt production.
Knowledge of Risk and Early Warning System
An early warning system providing drought and fire hazard indices for needed mitigation actions.
Short-to-Medium Term Flood Risk Analysis
A localized early warning system utilizing affordable hydrometeorological instruments for real-time monitoring and forecasting.