Meteorological data, such as precipitation, temperature, wind, and other atmospheric variables, is essential for understanding climate patterns, managing water resources, agriculture, disaster risk reduction, and environmental monitoring. Meteorological forecasts are even more critical as they provide early warnings for extreme events, helping to monitor and prepare for heatwaves, storms, floods, and droughts. This information is vital for disaster preparedness, resource management, and mitigating potential impacts on communities and infrastructure. Forecast data also plays a crucial role in model simulations, which can be used to predict hydrological changes and estimate potential flood extents. These simulations support decision-making in water management, urban planning, and emergency response. In ALICE-LAB, a monitoring system is in place to track meteorological conditions across Asia using open data from multiple models. This system provides forecasts for the next 5 to 16 days as well as 8 to 9 months, offering valuable insights for climate analysis, disaster preparedness, and sustainable resource management.

Figure 1: Example of a 5-day forecast of precipitation (mm/day, left) and air temperature (°C, right), which can be used for monitoring extreme events or as input for hydrological models to predict potential changes in water systems.

Figure 2: A 5-day forecast illustrating daily precipitation (mm/day, top) and air temperature (°C, bottom) over Thailand, which serves as a crucial input for hydrological modeling to evaluate potential impacts on water resources.

Model outputs from multiple scientific centers and forecasting systems, such as the European Centre for Medium-Range Weather Forecasts (ECMWF), Global Forecast System (GFS), Icosahedral Nonhydrostatic Weather and Climate Model (ICON), Met Office Global Deterministic 10km (MOGD10km), Met Office Global Ensemble Prediction System (MOGREPS-G), and the NCEP Coupled/Climate Forecast System version 2 (CFSv2), are used to monitor meteorological variations across Asia. Our operational forecasting system automatically analyzes these data every 6 to 12 hours, with each forecast cycle providing predictions for the next 5 to 16 days as well as 8 to 9 months (CFSv2). These forecasts can be used directly for weather monitoring or as input for hydrological and land surface models to support a wide range of applications, including water resource management, climate analysis, agriculture, and disaster risk assessment.

ECMWF
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Spatial Resolution: 0.25 equal-area grid (~25 km)
Temporal Resolution: 3 – 6 hours and daily
Forecast Cycle: 6 – 12 hours
Forecast Period: 15 days
File format: NetCDF
Latency: Near real time
Variables: Precipitation, temperature, wind, radiation, humidity
Reference: https://www.ecmwf.int/en/forecasts

GFS

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Spatial Resolution: 0.25 equal-area grid (~25 km)
Temporal Resolution: 1 – 3 hours and daily
Forecast Cycle: 6 hours
Forecast Period: 16 days
File format: NetCDF
Latency: Near real time
Variables: Precipitation, temperature, wind, radiation, humidity
Reference: https://www.emc.ncep.noaa.gov/emc/pages/numerical_forecast_systems/gfs.php

ICON
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Spatial Resolution: 0.1 equal-area grid (~10 km)
Temporal Resolution: 1 – 3 hours and daily
Forecast Cycle: 6 hours
Forecast Period: 5 days
File format: NetCDF
Latency: Near real time
Variables: Precipitation, temperature, wind, radiation, humidity
Reference: https://www.icon-model.org

CFSv2

ECMWF Forecast Precipitation and Temperature

GFS Forecast Precipitation and Temperature

ICON Forecast Precipitation and Temperature

MOGD10km Forecast Precipitation and Temperature

CFSv2 Forecast Precipitation and Temperature (daily)

CFSv2 Forecast Precipitation and Temperature (monthly)

ECMWF Forecast Precipitation and Temperature

GFS Forecast Precipitation and Temperature

ICON Forecast Precipitation and Temperature

 

   

MOGD10km Forecast Precipitation and Temperature