Datasets Comparison

This dataset contains climate and meteorological parameters for 38 districts of Bangladesh, extracted from the NASA POWER API for the time period 2012-2024. The dataset is intended for drought analysis, climate modeling, and environmental studies. The dataset is provided in two formats: 1. Individual district CSV files – Climate data for each of the 38 districts separately. 2. Combined CSV file – A merged dataset containing data for all districts in one file. Data Source: NASA POWER API (https://power.larc.nasa.gov/) Parameters Included: The dataset includes the following climate variables: 1. Solar Radiation Data: ALLSKY_SFC_SW_DWN – All Sky Surface Shortwave Downward Irradiance (MJ/m²/day) CLRSKY_SFC_SW_DWN – Clear Sky Surface Shortwave Downward Irradiance (MJ/m²/day) ALLSKY_SFC_SW_DNI – All Sky Surface Shortwave Downward Direct Normal Irradiance (MJ/m²/day) ALLSKY_SFC_SW_DIFF – All Sky Surface Shortwave Diffuse Irradiance (MJ/m²/day) 2. Temperature & Humidity Data: T2M – Temperature at 2 Meters (°C) T2MDEW – Dew/Frost Point at 2 Meters (°C) TS – Earth Skin Temperature (°C) T2M_MAX – Maximum Temperature at 2 Meters (°C) T2M_MIN – Minimum Temperature at 2 Meters (°C) QV2M – Specific Humidity at 2 Meters (g/kg) RH2M – Relative Humidity at 2 Meters (%) 3. Atmospheric & Wind Data: PS – Surface Pressure (kPa) WS2M – Wind Speed at 2 Meters (m/s) WS2M_MAX – Maximum Wind Speed at 2 Meters (m/s) WS2M_MIN – Minimum Wind Speed at 2 Meters (m/s) 4. Soil Moisture & Wetness Data: GWETTOP – Surface Soil Wetness GWETROOT – Root Zone Soil Wetness GWETPROF – Profile Soil Moisture Additionally, each file contains Latitude, Longitude, and Region for geographic reference. If you use this dataset in your research, please cite it as: Mati, Mrittika Devi; Paul, Tonmoy (2025), “Drought Analysis Dataset of 38 Districts in Bangladesh (2012-2024) – NASA POWER Data”, Mendeley Data, V1, doi: 10.17632/pths6y8xg6.1

Atmospheric Science, Environmental Science, Machine Learning, Geospatial Data Repository, Agricultural Hydrology, Climate Sciences

Creative Commons Attribution 4.0 International

This dataset contains climate and meteorological parameters for 38 districts of Bangladesh, extracted from the NASA POWER API for the time period 2012-2024. The dataset is intended for drought analysis, climate modeling, and environmental studies. The dataset is provided in two formats: 1. Individual district CSV files – Climate data for each of the 38 districts separately. 2. Combined CSV file – A merged dataset containing data for all districts in one file. Data Source: NASA POWER API (https://power.larc.nasa.gov/) Parameters Included: The dataset includes the following climate variables: 1. Solar Radiation Data: ALLSKY_SFC_SW_DWN – All Sky Surface Shortwave Downward Irradiance (MJ/m²/day) CLRSKY_SFC_SW_DWN – Clear Sky Surface Shortwave Downward Irradiance (MJ/m²/day) ALLSKY_SFC_SW_DNI – All Sky Surface Shortwave Downward Direct Normal Irradiance (MJ/m²/day) ALLSKY_SFC_SW_DIFF – All Sky Surface Shortwave Diffuse Irradiance (MJ/m²/day) 2. Temperature & Humidity Data: T2M – Temperature at 2 Meters (°C) T2MDEW – Dew/Frost Point at 2 Meters (°C) TS – Earth Skin Temperature (°C) T2M_MAX – Maximum Temperature at 2 Meters (°C) T2M_MIN – Minimum Temperature at 2 Meters (°C) QV2M – Specific Humidity at 2 Meters (g/kg) RH2M – Relative Humidity at 2 Meters (%) 3. Atmospheric & Wind Data: PS – Surface Pressure (kPa) WS2M – Wind Speed at 2 Meters (m/s) WS2M_MAX – Maximum Wind Speed at 2 Meters (m/s) WS2M_MIN – Minimum Wind Speed at 2 Meters (m/s) 4. Soil Moisture & Wetness Data: GWETTOP – Surface Soil Wetness GWETROOT – Root Zone Soil Wetness GWETPROF – Profile Soil Moisture Additionally, each file contains Latitude, Longitude, and Region for geographic reference. If you use this dataset in your research, please cite it as: Mati, Mrittika Devi; Paul, Tonmoy (2025), “Drought Analysis Dataset of 38 Districts in Bangladesh (2012-2024) – NASA POWER Data”, Mendeley Data, V1, doi: 10.17632/pths6y8xg6.1

Atmospheric Science, Environmental Science, Machine Learning, Geospatial Data Repository, Agricultural Hydrology, Climate Sciences

Creative Commons Attribution 4.0 International