Past Event Training on WRF-EMS Model for NCHM Staff of Bhutan from 22 September to 3 October 2025

Training on WRF-EMS Model for NCHM Staff of Bhutan from 22 September to 3 October 2025 RIMES Launches Training on Numerical Weather Prediction (NWP) Model for Bhutan’s NCHM The Regional Integrated Multi-Hazard Early Warning System (RIMES) has commenced the Training Course on Numerical Weather Prediction (NWP) Model for Weather Forecasting for the National Center for […]

Date: September 2025 – September 2025

Training on WRF-EMS Model for NCHM Staff of Bhutan from 22 September to 3 October 2025

RIMES Launches Training on Numerical Weather Prediction (NWP) Model for Bhutan’s NCHM

The Regional Integrated Multi-Hazard Early Warning System (RIMES) has commenced the Training Course on Numerical Weather Prediction (NWP) Model for Weather Forecasting for the National Center for Hydrology and Meteorology (NCHM), Bhutan. The two-week program runs from 22 September to 3 October 2025 at RIMES Headquarters in Bangkok, Thailand

 

Training Progress

The training brings together NCHM forecasters and technical staff to strengthen their capacity in using the Weather Research and Forecasting – Environmental Modeling System (WRF-EMS). In the first two days, participants have:

  • Explored the WRF-EMS framework and model components

  • Installed the system and performed troubleshooting exercises

  • Conducted initial 24-hour test runs with physics configuration

 

What’s Ahead

The coming days will cover advanced modules on:

  • Nested domain setup and data assimilation

  • Post-processing and visualization tools (ncview, GrADS, Python)

  • Forecast verification statistics and downscaling methods

 

Objective

This training aims to enhance Bhutan’s operational forecasting capabilities, supporting the delivery of accurate and reliable weather forecasts and strengthening national early warning services.

 

RIMES remains committed to working closely with NCHM and other member states to advance technical skills and build resilience against hydro-meteorological hazards.

 

 

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