Explore Singapore historical rainfall observations labelled for 2016, with station identifiers, coordinates, timestamps in Singapore Time (SGT) and ISO 8601, and rainfall readings. Useful for climate research and Singapore environmental data discovery; may contain missing records without full climate quality control. Coverage metadata may reflect a limited extract within 2016.
National Environment Agency monthly total rainfall in millimetres at Singapore’s Changi Climate Station, with coverage from January 1982 through June 2026. Climate researchers and weather analysts monitor long-run monthly precipitation at the national climate reference station. Columns cover month and total rainfall.
National Environment Agency monthly highest daily total rainfall in millimetres at the Changi Climate Station from January 1982 through June 2026. Hydrology and climate users monitor extreme daily rainfall intensity within each month in Singapore.
National Environment Agency CSV of Singapore historical daily weather from January 2009 through November 2017 by station, covering daily rainfall totals, short-duration rainfall extremes, temperature, and wind. Climate and hydrology analysts use the station-level series for local weather trend and flood-risk studies.
National Environment Agency monthly rainy-day counts at Changi Climate Station from 1982 through mid-2026, defining a rain day as 0.2 mm or more of rainfall. Climate and water-resource users track wet-day frequency for Singapore’s eastern reference station.
Annual Singapore climate indicators—air temperature, sunshine, relative humidity, and rainfall—from 1960 through 2025, compiled by the Singapore Department of Statistics from National Environment Agency readings. From January 1984 the designated climate station is at Changi. Supports long-run weather and climate trend analysis. Adapted from SingStat TableBuilder TS/M890191.
Monthly Singapore climate indicators from 1975 through May 2026—air temperature, sunshine, relative humidity, and rainfall—compiled by the Singapore Department of Statistics from National Environment Agency readings at the Changi climate station from January 1984 onward. Supports environmental monitoring and weather trend analysis.
National Environment Agency API providing precipitation readings at weather-station level across Singapore, updated every five minutes with coverage from December 2016 onward. Readings come from automated weather instruments and are published as soon as they are generated, so occasional gaps can occur and values may be corrected later. Developers building weather apps, flood-monitoring dashboards, and climate researchers use the feed for near-real-time rainfall by station, noting that local siting conditions can influence individual readings.
*Beta dataset*
This is a new dataset; response fields, coverage start date, and behaviour may still change as we monitor reliability. Please reach out to [email protected] if you notice anything unexpected.
Real-time weather radar imagery from NEA. The weather radar transmits electromagnetic pulses that detect precipitation (rain, hail, snow) up to a few hundred kilometres away and estimates their intensity from the strength of the echoes. The data is updated every 5 minutes and covers a fixed range of 70 km, 240 km and 480 km, centred on Singapore.
The weather radar may occasionally pick up reflected signals from sources other than rain. These sometimes appear as stationary-coloured areas.
Each response includes geospatial metadata (projection + boundary box) and presigned PNG image URLs.
Rainfall intensity legend: the RGB/hex colour mapping for rainfall intensity is available in this dataset's API specification - download it from the "API Specification" section on this page to view the full legend table.
The data is updated every 5 to 15 minutes.
National Environment Agency API feed of wind speed readings from automated weather stations across Singapore, available at one-minute resolution and refreshed every five minutes with coverage from December 2016. Values represent mean wind over a ten-minute period at station level and are published automatically as the instruments generate them, so occasional gaps and later corrections are possible. Developers build live weather dashboards, sailing and outdoor-activity apps, and environmental monitoring tools on the feed. Researchers combine it with rainfall, temperature, and air-quality stations to study microclimate and local wind patterns, bearing in mind that readings can be influenced by nearby obstructions.