Climate data dynamics: A high-volume real world structured weather datasetMendeley Data
Md Zubair,
Md. Nafiz Ishtiaque Mahee,
Khondaker Masfiq Reza,
Md. Shahidul Salim,
Nasim Ahmed
Affiliations
Md Zubair
Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh; Department of Computer Science and Engineering, Uttara University, Dhaka, Bangladesh; Corresponding author at: Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh.
Md. Nafiz Ishtiaque Mahee
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
Khondaker Masfiq Reza
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
Md. Shahidul Salim
Department of Computer Science and Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh
Nasim Ahmed
Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh; Department of Computer Science and Engineering, Uttara University, Dhaka, Bangladesh
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.
