Historical 2-hour Weather Forecast (2016)

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Historical 2-hour Weather Forecast (2016)

Data from Mar 2016 to Dec 2016

Last updated: 15 Apr 2025, 23:24 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.

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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

Historical2hourWeatherForecast2016.csv (711.1K rows, 134.8 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% 2016-03-14T19:30:00+08:00<0.1% 2016-03-14T20:30:00+08:00<0.1% 2016-03-14T23:00:00+08:00<0.1% 2016-03-14T23:03:00+08:00<0.1%	(Null)0.0% 1.30 pm to 3.30 pm2.5% 2.00 pm to 4.00 pm2.5% 11.30 am to 1.30 pm2.4% 2.30 pm to 4.30 pm2.4%	(Null)0.0% 2016-04-16T16:30:00+08:00<0.1% 2016-05-13T10:30:00+08:00<0.1% 2016-03-17T18:00:00+08:00<0.1% 2016-04-03T13:30:00+08:00<0.1%	(Null)0.0% 2016-04-16T18:30:00+08:00<0.1% 2016-05-13T12:30:00+08:00<0.1% 2016-03-17T20:00:00+08:00<0.1% 2016-04-03T15:30:00+08:00<0.1%	(Null)0.0% 2016-03-14T19:37:59+08:00<0.1% 2016-03-14T20:47:18+08:00<0.1% 2016-03-14T23:03:57+08:00<0.1% 2016-03-14T23:11:21+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% Cloudy30.1% Partly Cloudy (Day)19.6% Partly Cloudy (Night)17.0% Fair (Day)7.9%	(Null)0.0% CL30.1% PC19.6% PN17.0% FA7.9%
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Ang Mo Kio	103.839	1.375	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bedok	103.924	1.321	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bishan	103.839	1.350772	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Boon Lay	103.701	1.304	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bukit Batok	103.754	1.353	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bukit Merah	103.819	1.277	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bukit Panjang	103.77195	1.362	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Bukit Timah	103.791	1.325	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Central Water Catchment	103.805	1.38	Partly Cloudy (Night)	PN
2016-03-14	2016-03-14T19:30:00+08:00	7.30 pm to 9.30 pm	2016-03-14T19:30:00+08:00	2016-03-14T21:30:00+08:00	2016-03-14T19:37:59+08:00	Changi	103.987	1.357	Partly Cloudy (Night)	PN

Column legend

Title	Column name	Data type	Unit of measure	Description
Date	date	Date (YYYY-MM-DD)	-	-
Timestamp	timestamp	Text	-	-
Valid Period Text	valid_period_text	Text	-	-
Valid Period Start	valid_period_start	Text	-	-
Valid Period End	valid_period_end	Text	-	-
Update Timestamp	update_timestamp	Text	-	-
Location Name	location_name	Text	-	-
Location Longitude	location_longitude	Text	-	-
Location Latitude	location_latitude	Text	-	-
Forecast Text	forecast_text	Text	-	-

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_5dd6ab3b31e347194898104c5736c312"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

Historical2hourWeatherForecast2016.csv (711.1K rows, 134.8 MB)

Column legend

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Sample OpenAPI query

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