Microclimate Observation Dataset — Goa, India

This dataset presents continuous microclimate observations recorded from a personal weather station (PWS) located in Goa, India (15°35'38.1"N, 73°48'29.87"E, altitude 32 m ASL) on the western coastal belt of the Indian subcontinent. The station records thirteen primary meteorological parameters at each observation interval: outdoor air temperature (°C), relative humidity (%), dew point temperature (°C), apparent temperature / heat index (°C), wind direction (°), wind gust speed (m/s), mean wind speed (m/s), rainfall rate (mm/h), relative atmospheric pressure (hPa), UV index, solar irradiance (W/m²), indoor air temperature (°C), and indoor relative humidity (%). From these base observations, twenty statistically significant derived parameters are computed per record, including: saturation vapour pressure (hPa), actual vapour pressure (hPa), vapour pressure deficit — VPD (kPa), absolute humidity (g/m³), wet bulb temperature (°C), wet bulb globe temperature — WBGT (°C, ISO 7243), Humidex, air density (kg/m³), wind power density (W/m²), Beaufort scale classification, photosynthetically active radiation — PAR estimate (μmol/m²/s), clearness index Kt, reference evapotranspiration ET₀ (FAO-56 Penman-Monteith, mm/day), indoor–outdoor temperature differential ΔT (°C), indoor–outdoor humidity differential ΔRH (%), indoor–outdoor VPD gradient ΔVPD (kPa), indoor–outdoor absolute humidity gradient ΔAH (g/m³), and a mould risk index. Each daily record consists of two standard observations — one during the day division (sunrise to sunset) and one during the night division (sunset to sunrise) — taken approximately 8 hours apart. Reports are structured as individual PDF files in the MCR-series (Microclimate Research Reports) format and versioned sequentially. The Goa coastal location enables study of tropical maritime microclimate dynamics, pre-monsoon heat stress, land-sea breeze cycles, building thermal performance, and Arabian Sea moisture incursion on India's west coast. Observations are timestamped in IST (UTC+5:30). This dataset grows continuously as a long-term record suitable for climatological trend analysis, agricultural planning, public health research, and renewable energy assessment. Station: Personal Weather Station with wireless outdoor sensor unit.Data collection: Manual photographic observation + automated parameter extraction and derivation using standardised meteorological formulae.Coverage: April 2026 — ongoing.Report format: MCR-series PDF, dual