🌍 NASA POWER Hourly Data Downloader

This project automates the downloading and merging of hourly climate data from NASA POWER API.

🚀 Features

✅ Downloads hourly weather data (2015–2025)
✅ Splits requests into smaller chunks (1 year per request)
✅ Cleans and removes unnecessary headers from downloaded CSV files
✅ Automatically merges data into a single CSV file
✅ Saves cleaned and merged data in organized directories
✅ Handles API errors with a retry mechanism

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📂 Project Structure

📦 nasa-power-downloader  
├── 📂 data/                 # Stores all data files  
│   ├── 📂 cleaned/          # Stores cleaned CSV files (without headers)  
│   └── 📂 merged/           # Stores the final merged CSV file  
├── 📂 scripts/              # Python scripts for downloading & merging  
├── 📜 README.md             # Project documentation  
├── 📜 LICENSE               # Open-source license  
└── 📜 config.py             # API settings  

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📊 Available Parameters

The following meteorological parameters are included in the downloaded dataset:

Parameter	Description	Unit
ALLSKY_SFC_SW_DWN	All Sky Surface Shortwave Downward Irradiance (CERES SYN1deg)	Wh/m²
T2M	Temperature at 2 Meters (MERRA-2)	°C
RH2M	Relative Humidity at 2 Meters (MERRA-2)	%
PS	Surface Pressure (MERRA-2)	kPa
WS10M	Wind Speed at 10 Meters (MERRA-2)	m/s
WD10M	Wind Direction at 10 Meters (MERRA-2)	Degrees
WS50M	Wind Speed at 50 Meters (MERRA-2)	m/s
WD50M	Wind Direction at 50 Meters (MERRA-2)	Degrees
RHOA	Surface Air Density (MERRA-2)	kg/m³
QV10M	Specific Humidity at 10 Meters (MERRA-2)	g/kg
CLOUD_AMT	Cloud Amount (CERES SYN1deg)	%

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🔧 Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/FahimFBA/nasa-power-downloader.git  
cd nasa-power-downloader  

2️⃣ Install Dependencies

pip install -r scripts/requirements.txt  

3️⃣ Configure Settings (Optional)

Edit config.py to change location and parameters.

4️⃣ Run the Data Downloader

python scripts/download_nasa_power.py  

5️⃣ Clean & Merge Downloaded Files

python scripts/merge_csv.py  

The cleaned files will be saved in:
📂 data/cleaned/

The final merged dataset will be saved as:
📜 data/merged/merged_data.csv

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📜 License

This project is licensed under the MIT License. See LICENSE for details.

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👨‍💻 Author

Md. Fahim Bin Amin – fahimbinamin@gmail.com
GitHub: @FahimFBA