Climate data dynamics: A high-volume real world structured weather dataset

The dataset at hand is a unique resource, officially procured from the Bangladesh Meteorological Department, the sole government institution that diligently monitors weather through 35 strategically placed weather stations across the nation. This dataset is a treasure trove of actual data spanning several decades, from the inception of each weather station to the present. It has been meticulously restructured and processed into four (Rainfall, Temperature, Humidity, and Sunshine) key weather parameters, presented in a highly organized and accessible format. This format not only facilitates its use in the machine-learning training process but also opens up avenues for its application in climate research, weather forecasting, and a myriad of other statistical and machine-learning applications.

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Publication Details

Journal
Data in Brief
Published
2024-11-20
DOI
https://doi.org/10.1016/j.dib.2024.111156
Citations
1
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.35
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article

Climate data dynamics: A high-volume real world structured weather dataset

Md. Shahidul Salim, Khondaker Masfiq Reza, Nasim Ahmed, Md. Zubair et al.
1 citations
Data in Brief
Computational Physics and Python Applications
0.35
article

Climate data dynamics: A high-volume real world structured weather dataset

Md. Shahidul Salim, Khondaker Masfiq Reza, Nasim Ahmed, Md. Zubair, Md. Nafiz Ishtiaque Mahee
article en
1 citations

Abstract

The dataset at hand is a unique resource, officially procured from the Bangladesh Meteorological Department, the sole government institution that diligently monitors weather through 35 strategically placed weather stations across the nation. This dataset is a treasure trove of actual data spanning several decades, from the inception of each weather station to the present. It has been meticulously restructured and processed into four (Rainfall, Temperature, Humidity, and Sunshine) key weather parameters, presented in a highly organized and accessible format. This format not only facilitates its use in the machine-learning training process but also opens up avenues for its application in climate research, weather forecasting, and a myriad of other statistical and machine-learning applications.

Data in BriefVol. 57
Chittagong University of Engineering & Technology (BD), Khulna University of Engineering and Technology (BD), Uttara University (BD), BRAC University (BD)
Climate action
Openalex Percentile: Top 32%
Computational Physics and Python Applications
0.35
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Climate data dynamics: A high-volume real world structured weather dataset — Md. Shahidul Salim, Khondaker Masfiq Reza, et al. · Data in Brief (2024) | TGRS Research Map | TGRS