About this Dataset

Bangladesh Weather Dataset (1901 - 2023)

📊 Dataset README (Updated with Temporal Coverage) 📈

Overview 🌐

This README document provides detailed information about a dataset that combines temperature 🌡️ and rainfall 🌧️ data. The temperature data is sourced from NASA's POWER Project, and the rainfall data is obtained from the Humanitarian Data Exchange (HDX) website, specifically focusing on Bangladesh rainfall data.

Temperature Data Source 🔥

Source: NASA's POWER (Prediction of Worldwide Energy Resources) Data Access Viewer
URL: NASA POWER Data Access Viewer
Description: The POWER Project provides solar and meteorological data sets, primarily intended for renewable energy, sustainable buildings, agriculture, and other related applications. The temperature data from this source is a part of NASA's global meteorological data.

Rainfall Data Source 🌧️

Source: Humanitarian Data Exchange (HDX)
URL: Bangladesh Rainfall Data - HDX
Description: HDX hosts various humanitarian data including climate and weather-related datasets. The rainfall data for Bangladesh is part of their collection, providing detailed subnational rainfall statistics.

Dataset Description 📝

Composition 📊

The dataset is a combination of the temperature and rainfall data, aligned by date to facilitate joint analysis. The key components are:

Temperature Data (tem): Represents the monthly average temperature, presumably in degrees Celsius.
Rainfall Data (rain): Indicates monthly total rainfall, presumably measured in millimeters.

Structure 🏗️

The dataset is structured into a CSV file with the following columns:

tem: Average temperature for the month.
Month: The month for the data point, ranging from 1 (January) to 12 (December).
Year: The year of the data point.
rain: Total rainfall for the month.

Temporal Coverage 📆

Earliest Date: 1901
Latest Date: 2023
This dataset provides a historical perspective on climate trends from the earliest year of 1901 to the most recent data available up to 2023.

Usage and Applications 🚀

This dataset is particularly useful for studying climatic patterns, seasonal changes, and long-term climate trends. Applications include but are not limited to:

Climatological research and climate change studies.
Agricultural planning and forecasting.
Environmental and ecological studies.
Resource management and planning in sectors sensitive to climatic variations.

Limitations and Considerations 🚧

Geographical Specificity: The rainfall data is specific to Bangladesh and may not represent global patterns.
Data Integration: The temperature and rainfall data come from two different sources; users should consider potential discrepancies in data collection methods and accuracy.

Updates and Maintenance 🔄

Data Update Frequency: Check the source websites for the update frequency and availability of more recent data.
Last Updated: Refer to the source websites for the last update date of the data.

Licensing and Usage Rights ©️

Users should refer to the respective source websites for information on licensing and usage rights. It is important to adhere to the terms and conditions set by the data providers.

Contact Information 📞

For specific queries related to the temperature or rainfall data, users should contact the respective data providers through their official communication channels provided on their websites.

@misc{rubaiat2023bangladeshweather,
  author = {Rubaiat, Sajratul Yakin},
  title = {Bangladesh Weather Dataset},
  year = {2023},
  publisher = {Kaggle},
  url = {https://www.kaggle.com/datasets/yakinrubaiat/bangladesh-weather-dataset},
  note = {Kaggle dataset}
}

Tables

Sorted Temp And Rain Dataset

@kaggle.yakinrubaiat_bangladesh_weather_dataset.sorted_temp_and_rain_dataset

27.46 KB
1474 rows
4 columns


CREATE TABLE sorted_temp_and_rain_dataset (
  "tem" DOUBLE,
  "month" BIGINT,
  "year" BIGINT,
  "rain" DOUBLE
);

Temp And Rain

@kaggle.yakinrubaiat_bangladesh_weather_dataset.temp_and_rain

25.72 KB
1380 rows
4 columns


CREATE TABLE temp_and_rain (
  "tem" DOUBLE,
  "month" BIGINT,
  "year" BIGINT,
  "rain" DOUBLE
);