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Collection: Historical 2-hour Weather Forecast

Dataset: Historical 2-hour Weather Forecast (2019)

Environment

Historical 2-hour Weather Forecast (2019)

Data from Jan 2019 to Dec 2019

Last updated: 15 Apr 2025, 23:36 SGT

NEA (National Environment Agency)

Historical weather forecast data for Singapore. The data includes various attributes related to the forecast, such as timestamps, location details, and forecast descriptions. All timestamps are provided in Singapore Time (SGT), formatted in ISO 8601.

⠀

DISCLAIMER: This dataset has not undergone quality control procedures applied to climate data and records. For official climate records or climate data reports, please contact sales_climo@nea.gov.sg. Please note that fees may apply for data and report preparation.

Data explorer

Historical2hourWeatherForecast2019.csv (1M rows, 191.5 MB)

Date
Date (YYYY-MM-DD)
Timestamp
Text
Valid Period Text
Text
Valid Period Start
Text
Valid Period End
Text
Update Timestamp
Text
Location Name
Text
Location Longitude
Text
Location Latitude
Text
Forecast Text
Text
Forecast Code
Text
(Null)0.0%
(Null)0.0%
2019-01-01T00:00:00+08:00<0.1%
2019-01-01T00:30:00+08:00<0.1%
2019-01-01T01:00:00+08:00<0.1%
2019-01-01T01:30:00+08:00<0.1%
(Null)0.0%
2.30 pm to 4.30 pm2.7%
2.00 pm to 4.00 pm2.7%
1.00 pm to 3.00 pm2.6%
1.30 pm to 3.30 pm2.6%
(Null)0.0%
2019-01-17T16:00:00+08:00<0.1%
2019-04-27T03:30:00+08:00<0.1%
2019-10-16T13:30:00+08:00<0.1%
2019-01-05T14:30:00+08:00<0.1%
(Null)0.0%
2019-01-17T18:00:00+08:00<0.1%
2019-04-27T05:30:00+08:00<0.1%
2019-10-16T15:30:00+08:00<0.1%
2019-01-05T16:30:00+08:00<0.1%
(Null)0.0%
2019-01-01T00:08:52+08:00<0.1%
2019-01-01T00:38:52+08:00<0.1%
2019-01-01T01:08:52+08:00<0.1%
2019-01-01T01:38:55+08:00<0.1%
(Null)0.0%
City2.1%
Tuas2.1%
Bedok2.1%
Bishan2.1%
(Null)0.0%
103.8396.4%
103.672.1%
103.762.1%
103.962.1%
(Null)0.0%
1.3154.3%
1.3574.3%
1.4044.3%
1.372.1%
(Null)0.0%
Partly Cloudy (Day)25.8%
Partly Cloudy (Night)19.9%
Cloudy16.0%
Fair (Night)7.5%
(Null)0.0%
PC25.8%
PN19.9%
CL16.0%
FN7.5%
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Ang Mo Kio103.8391.375Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bedok103.9241.321Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bishan103.8391.350772Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Boon Lay103.7011.304Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bukit Batok103.7541.353Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bukit Merah103.8191.277Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bukit Panjang103.771951.362Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Bukit Timah103.7911.325Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Central Water Catchment103.8051.38Partly Cloudy (Night)PN
2019-01-012019-01-01T00:00:00+08:00Midnight to 2.00 am2019-01-01T00:00:00+08:002019-01-01T02:00:00+08:002019-01-01T00:08:52+08:00Changi103.9871.357Partly Cloudy (Night)PN
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_47e150685fc9f82c953a16844fd50323
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Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_47e150685fc9f82c953a16844fd50323"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

National Environment Agency. (2025). Historical 2-hour Weather Forecast (2019) (2025) [Dataset]. data.gov.sg. Retrieved May 15, 2026 from https://data.gov.sg/datasets/d_47e150685fc9f82c953a16844fd50323/view

About this dataset

Contact

feedback@data.gov.sg

Created on

15 Apr 2025

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

NEA (National Environment Agency)