Hourly meteorological dataset from a 40-station network on the NUS campus, Singapore (2025)
- 1. College of Design and Engineering, National University of Singapore
- 2. College of Design and Engineering, National University of Singapore; Business School, National University of Singapore
- 3. College of Integrative Studies, Singapore Management University
Description
Hourly observations of air temperature, relative humidity, atmospheric pressure, global horizontal irradiance, wind speed and wind direction from 40 automatic weather stations on the National University of Singapore main campus, 1 January to 31 December 2025, with rainfall at three rooftop stations and station metadata (coordinates, elevation, mounting type).
The release contains the quality-controlled observations (data/raw), a gap-filled dataset with a provenance flag for every value (data/imputed; 0 = observed, 1 = linear interpolation, 2 = XGBoost spatial regression, 3 = not measured/not imputed), the quality-control log and validation results (data_quality_assessment), figures, and the Python scripts that produce them (code). Gap-filled wind values have little or no skill; use flag 0 values for wind analyses.
Version 1.1.0 adds rule-based quality control (faulty irradiance, pressure and wind records removed and logged), variable-specific interpolation limits and a validation of short-gap interpolation. The unmasked sensor values are preserved in version 1.0.0.
Files
City-Syntax/nus-campus-weather-paper-v1.1.0.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/City-Syntax/nus-campus-weather-paper/tree/v1.1.0 (URL)
Software
- Repository URL
- https://github.com/City-Syntax/nus-campus-weather-paper