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

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Md Zubair , Md. Nafiz Ishtiaque Mahee , Khondaker Masfiq Reza , Md. Shahidul Salim , Nasim Ahmed
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引用次数: 0

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.
气候数据动力学:一个大容量的真实世界结构化天气数据集
手头的数据集是一种独特的资源,官方从孟加拉国气象部门采购,这是唯一一个通过全国35个战略位置的气象站勤奋监测天气的政府机构。这个数据集是一个实际数据的宝库,跨越了几十年,从每个气象站开始到现在。它被精心重组和处理成四个(降雨量、温度、湿度和阳光)关键天气参数,以高度组织和可访问的格式呈现。这种格式不仅有助于其在机器学习训练过程中的使用,而且还为其在气候研究、天气预报以及无数其他统计和机器学习应用中的应用开辟了途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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