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Collection: Historical 4-day Weather Forecast

Dataset: Historical 4-day Weather Forecast (2019)

Environment

Historical 4-day Weather Forecast (2019)

NEA (National Environment Agency)

Historical 4 day outlook weather forecast data for Singapore. The data includes various attributes related to the forecast, such as forecast date, wind speed, relative humidity, temperature, and forecast descriptions. All timestamps are provided in Singapore Time (SGT), formatted in ISO 8601.

⠀

Disclaimer: This dataset may contain missing records and 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 from Jan 2019 to Dec 2019

Last updated 16 Apr 2025

Data explorer

Historical4dayWeatherForecast2019.csv (3.2K rows, 681.6 KB)

Date
Date (YYYY-MM-DD)
Timestamp
Text
Update Timestamp
Text
Forecast Date
Date (YYYY-MM-DD)
Forecast Timestamp
Text
Forecast Summary
Text
Forecast Text
Text
Forecast Code
Text
Wind Speed High
Numeric
Wind Speed Low
Numeric
Wind Direction
Text
Relative Humidity High
Numeric
Relative Humidity Low
Numeric
Temperature High
Numeric
Temperature Low
Numeric
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
2019-12-12T00:00:00+08:000.4%
2019-12-13T00:00:00+08:000.4%
2019-03-22T00:00:00+08:000.4%
2019-04-07T00:00:00+08:000.4%
(Null)0.0%
Afternoon thundery showers.34.3%
Late morning and early afternoon thundery showers.23.3%
Fair and warm.9.6%
Morning thundery showers.5.5%
(Null)0.0%
Thundery Showers75.3%
Fair & Warm9.9%
Showers6.1%
Fair (Day)3.0%
(Null)0.0%
TL75.3%
FW9.9%
SH6.1%
FA3.0%
(Null)0.0%
20.036.0%
25.031.8%
15.021.8%
30.08.1%
(Null)0.0%
10.047.1%
15.025.1%
5.023.7%
20.03.6%
(Null)0.0%
SSE20.6%
NE14.2%
NNE11.8%
SE11.4%
(Null)0.0%
95.071.6%
90.028.2%
80.00.1%
85.00.1%
(Null)0.0%
60.044.6%
55.035.5%
50.012.6%
65.04.0%
(Null)0.0%
34.045.2%
33.035.7%
35.07.2%
32.06.5%
(Null)0.0%
24.043.9%
25.035.6%
26.014.2%
23.04.9%
2019-01-012019-01-01T04:51:00+08:002019-01-01T05:32:08+08:002019-01-022019-01-02T00:00:00+08:00Windy with afternoon passing showers.Passing ShowersPS30.025.0WNW95.055.033.024.0
2019-01-012019-01-01T04:51:00+08:002019-01-01T05:32:08+08:002019-01-032019-01-03T00:00:00+08:00Windy with afternoon passing showers.Passing ShowersPS30.015.0W95.060.033.024.0
2019-01-012019-01-01T04:51:00+08:002019-01-01T05:32:08+08:002019-01-042019-01-04T00:00:00+08:00Afternoon thundery showers.Thundery ShowersTL25.010.0W95.060.034.024.0
2019-01-012019-01-01T04:51:00+08:002019-01-01T05:32:08+08:002019-01-052019-01-05T00:00:00+08:00Afternoon thundery showers.Thundery ShowersTL15.05.0VARIABLE95.060.034.024.0
2019-01-012019-01-01T12:37:00+08:002019-01-01T13:02:08+08:002019-01-022019-01-02T00:00:00+08:00Windy with afternoon passing showers.Passing ShowersPS30.020.0WNW95.055.033.024.0
2019-01-012019-01-01T12:37:00+08:002019-01-01T13:02:08+08:002019-01-032019-01-03T00:00:00+08:00Windy with afternoon passing showers.Passing ShowersPS30.015.0W95.060.033.024.0
2019-01-012019-01-01T12:37:00+08:002019-01-01T13:02:08+08:002019-01-042019-01-04T00:00:00+08:00Afternoon thundery showers.Thundery ShowersTL25.010.0W95.060.034.024.0
2019-01-012019-01-01T12:37:00+08:002019-01-01T13:02:08+08:002019-01-052019-01-05T00:00:00+08:00Afternoon thundery showers.Thundery ShowersTL15.05.0VARIABLE95.060.034.024.0
2019-01-012019-01-01T16:47:00+08:002019-01-01T17:02:08+08:002019-01-022019-01-02T00:00:00+08:00Windy with afternoon passing showers.Passing ShowersPS30.015.0NW95.055.033.024.0
2019-01-012019-01-01T16:47:00+08:002019-01-01T17:02:08+08:002019-01-032019-01-03T00:00:00+08:00Windy with morning showers.ShowersSH30.020.0W95.055.033.024.0
Google colab link
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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.

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import requests
          
dataset_id = "d_5328fdcc05a38080c1f22003a802a372"
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 4-day Weather Forecast (2019) (2025) [Dataset]. data.gov.sg. Retrieved September 9, 2026 from https://data.gov.sg/datasets/d_5328fdcc05a38080c1f22003a802a372/view

About this dataset

Contact

feedback@data.gov.sg

Created on

16 Apr 2025

Licence

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

Agency

NEA (National Environment Agency)