RIMES assists the Member States through the development of tools that facilitate the use of forecast products of different lead times for assessment of potential impacts and generation of guidance/ advisories. Tool customization integrates forecasts available from the NMHS and user requirements, determined through need assessments. Relevant national agencies co-develop country-specific tools. Tools are transferred and run on an experimental basis, before integration into these agencies' operations.

Forecast model outputs used are RIMES WRF model outputs of 3 days lead time, NCEP model outputs of 7 days lead time, ECMWF1 model outputs of 10- and 15-days lead times, Japan Meteorological Agency Grid Point Values (JMA GPV) model outputs of 30 days lead time, and ECMWF and RIMES ensemble seasonal forecast model outputs of 6 months lead time.

Climate Data Access and Analysis System (CDAAS) is a user-friendly and easy-to-use web-based portal to access and analyse different Global Climate models, gridded observation data sets, and downscaled regional climate model products. Users with access to the system can select the region of interest and get the respective data sets in various formats for further analysis. This aims to have a hassle-free tool for both end users to visualize the products and for experts for detailed analysis

Storm surge inundation forecasting and warning system is a web-based system for evaluating inundation risks from the storm surge potential of predicted cyclones. The system generates and disseminates surge and inundation risk maps and accompanying advisories, along with forecasts of cyclone track, intensity, and rainfall.

Basin-based flood forecasting and warning system is a web-based system for the generation of basin discharge and river level forecasts based on 3-day and 10-day weather forecasts, analysis and mapping of flood risks, and generation and issue of appropriate advisories. The system ingests real-time observation data for water level monitoring. The system has modules for the correction of biases in rainfall and discharge forecasts.