**1. Study Area Preparation** The Tripura district boundary dataset has been prepared using the shapefile you provided. The analysis will cover all 8 districts: West Tripura, Sepahijala, Khowai, Gomati, South Tripura, Unakoti, North Tripura, and Dhalai. **2. Climate Model Framework** The project workflow has been organized to use CMIP6 Global Climate Models and CORDEX Regional Climate Models under the SSP4.5 and SSP8.5 scenarios. The datasets will include the required variables: • precipitation (pr) • maximum temperature (tasmax) • minimum temperature (tasmin) Both historical (1970–2020) and future projections (2026–2070) will be processed. **3. Data Processing Pipeline** The workflow is prepared to: • download and organize climate datasets • clip them to the Tripura district boundaries • extract daily climate variables • convert NetCDF datasets to CSV format • compute rainfall indices (wet days, rainfall >5 mm, rainfall >10 mm, rainfall intensity, etc.) **4. Output Structure** The results will be produced in CSV format with fields such as: Year | Date | District | Latitude | Longitude | Precipitation | Tmax | Tmin | Model | Scenario