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Data · dataset · 2024

A collection of meteorological dataset used to predict Bangladesh's short-term rainfall amounts

Listed in Teesside University Research Data Repository

Bangladesh places great importance on meteorological data, particularly in light of the country's vulnerability to weather-related disasters like floods and cyclones.

Description

The data was sourced from Open-Meteo, an open-source weather API. By using the Forecast API, user-defined data with intervals ranging from hourly to annual data collected hourly observational weather data specific to Bangladesh, covering from 2022 to 2023.

Even yet, there were issues with the raw data, such as duplication and abnormalities, which made it unsuitable for studying patterns of rainfall. The dataset presented here has been meticulously cleaned, ensuring the absence of missing data.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/8ms3b33tmw.115 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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