MSEA-Daily: temporal-disaggregation code for the MSEA-Daily 4-km daily climate dataset

This deposit contains the complete Python processing pipeline used to generate the MSEA-Daily 4-km daily climate dataset for mainland Southeast Asia (1981–2014; archived at Science Data Bank, doi.org/10.57760/sciencedb.36048). The code temporally disaggregates TerraClimate monthly precipitation totals and monthly mean / maximum / minimum 2-m air-temperature fields to a daily time step at 1/24° (~4 km) horizontal resolution over the 4–24°N / 92–110°E domain, while preserving the original TerraClimate monthly totals (for precipitation) and monthly means (for temperature) exactly by construction.

Daily temporal structure is supplied by CHIRPS v2.0 for precipitation — sharpened by a power transformation with exponent α = 1.35 calibrated against GHCND validation stations to better represent monsoon wet-day intensity — and by AgERA5 zero-mean daily anomalies for the three temperature variables. The pipeline covers source-data retrieval (including a cdsapi wrapper for AgERA5), grid harmonisation, precipitation and temperature disaggregation, post-production quality assurance, and ACDD-1.3 / CF-1.8-compliant NetCDF-4 packaging.