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.
NEA CSV archive of historical wind direction readings at Singapore weather stations during December 2016, with SGT timestamps, station metadata, and coordinates. Supports meteorological research with disclaimer on data gaps versus official climate products contactable at [email protected].
National Environment Agency CSV of historical wind speed readings across Singapore for calendar year 2020, with station identifiers, coordinates, ISO 8601 timestamps in Singapore Time, and reading values. Environmental researchers explore spatial wind patterns; the publisher notes missing records and that the series has not undergone official climate quality control.
National Environment Agency CSV of historical wind-speed readings across Singapore stations for calendar year 2018. Columns include date, timestamps (SGT, ISO 8601), station identifiers and coordinates, reading value, type, and unit. Weather and air-quality analysts study local wind patterns; the series may have gaps and is not quality-controlled climate data.
NEA CSV measurements of historical wind speed across Singapore monitoring stations throughout 2019, with station identifiers, device IDs, and coordinates in SGT. Climate and engineering analysts work with the observational feed subject to NEA’s missing-data disclaimer.
National Environment Agency CSV archive of historical wind speed observations across Singapore stations in late 2016, with SGT ISO 8601 timestamps, station identifiers, coordinates, and device metadata. Useful for meteorological archive research; NEA notes gaps versus official climate records at [email protected].
NEA open-data CSV of historical air temperature readings at Singapore stations for calendar year 2023, with station metadata and SGT timestamps. Useful for environmental monitoring and research with disclaimer on data quality versus official climate archives.
National Environment Agency CSV archive of historical air temperature observations across Singapore weather stations throughout calendar year 2021, with SGT ISO 8601 timestamps, station identifiers, and coordinates. Supports mesoscale climate analysis and forecast verification; NEA notes possible gaps versus official climate records at [email protected].
National Environment Agency CSV of historical air temperature readings at Singapore stations for calendar year 2024, with station metadata, coordinates, and SGT timestamps. Useful for environmental monitoring and urban-heat research with the publisher disclaimer on data quality versus official climate archives.
National Environment Agency CSV of historical air temperature readings across Singapore weather stations for calendar year 2022, with station identifiers, coordinates, ISO 8601 Singapore Time timestamps, reading values, types, and units. The publisher notes possible missing records and no climate QC; official climate products may require paid requests to [email protected]. Useful for environmental and urban heat exploratory analysis.
Historical air temperature readings across Singapore weather stations for calendar year 2020, published by the National Environment Agency in CSV with station identifiers and timestamps in Singapore Time. Researchers studying urban heat, station-level microclimate, or exploratory climate analysis should note the publisher disclaimer on missing records and quality control; official climate records require NEA climatological services.
Historical Air Temperature across Singapore (2019) is a National Environment Agency dataset for examining recorded air temperature in Singapore during 2019. The metadata supports time-series use through timestamps expressed in Singapore Time (SGT) and formatted according to ISO 8601, making the records suitable for reproducible analysis that depends on explicit local time and standardized date-time values. Its geographic context is Singapore-wide; the supplied metadata does not specify finer station, district, or neighborhood coverage. Researchers, students, analysts, and developers can use this dataset to investigate historical temperature changes, build exploratory climate visualizations, compare readings across time, support Singapore-focused environmental studies, or locate machine-readable 2019 air-temperature records for data projects. Users should account for potentially missing records and the absence of climate-data quality-control procedures before drawing conclusions. For authoritative climate records or formal climate data reports, the National Environment Agency directs users to contact [email protected], and fees may apply.
National Environment Agency CSV archive of historical air temperature observations across Singapore for calendar year 2017, with station identifiers, coordinates, and timestamps in Singapore Time (ISO 8601). Climate researchers map spatial and temporal heat patterns; NEA notes possible gaps and that official climate records require separate contact at [email protected].
National Environment Agency CSV archive of historical air temperature observations across Singapore weather stations throughout calendar year 2018, with SGT ISO 8601 timestamps, station identifiers, coordinates, and reading values. Supports mesoscale climate analysis; NEA notes possible gaps versus official climate records at [email protected].
National Environment Agency archive of historical air temperature observations across Singapore monitoring stations throughout 2016, with station IDs, coordinates, and timestamps in Singapore Time (SGT) and ISO 8601 in CSV. Useful for mesoscale climate analysis; NEA notes missing records and that official climate data requires contact at [email protected].
National Environment Agency CSV of historical PM2.5 readings across Singapore for the full 2024 calendar year. Records contain SGT timestamps, update times, region identifiers and coordinates, and regional one-hour PM2.5 values. Environmental and public-health researchers can reconstruct spatial and temporal air-quality patterns or haze episodes, while accounting for possible missing records and the absence of official climate-data quality control.
National Environment Agency historical PM2.5 fine particulate matter readings for Singapore across 2023, with ISO 8601 timestamps in Singapore Time. Columns cover date, timestamp, region and region ID, monitoring-station longitude and latitude, and one-hourly PM2.5 values for the five air-quality regions. Environmental researchers and air-quality analysts reconstruct 2023 pollution episodes; the file may contain gaps and is not quality-controlled climate data.
National Environment Agency historical PM2.5 fine particulate matter readings for Singapore across 2022, with ISO 8601 timestamps in Singapore Time. Columns cover date, timestamp, region and region ID, monitoring-station longitude and latitude, and one-hourly PM2.5 values for the five air-quality regions. Environmental researchers and air-quality analysts reconstruct 2022 pollution episodes; the file may contain gaps and is not quality-controlled climate data.
National Environment Agency historical PM2.5 fine particulate matter readings for Singapore across 2021, with ISO 8601 timestamps in Singapore Time. Columns cover date, timestamp, region and region ID, monitoring-station longitude and latitude, and one-hourly PM2.5 values for the five air-quality regions. Environmental researchers and air-quality analysts reconstruct 2021 pollution episodes; the file may contain gaps and is not quality-controlled climate data.
National Environment Agency historical PM2.5 fine particulate matter readings for Singapore across 2020, with ISO 8601 timestamps in Singapore Time. Columns cover date, timestamp, region and region ID, monitoring-station longitude and latitude, and one-hourly PM2.5 values for the five air-quality regions. Environmental researchers and air-quality analysts reconstruct 2020 haze and pollution episodes; the file may contain gaps and is not quality-controlled climate data.