ERA5 Data Retrieval Repository

Introduction

This repository contains scripts and tools for retrieving and processing ERA5 datasets. ERA5 provides hourly updates of a large number of atmospheric, land, and oceanic climate variables. These datasets are invaluable for climate research, weather forecasting, and environmental modeling esspecially in the context of Uzbekistan.

Prerequisites

• Python 3.x
• Access to ERA5 data through the Copernicus Climate Data Store.
• Required Python libraries: cdsapi, numpy, pandas, xarray (installation instructions below).

Installation

Clone the Repository

git clone https://github.com/your-username/era5-retrieval-repo.git
cd era5-retrieval-repo

Install Required Libraries

pip install cdsapi numpy pandas xarray

Usage

Setting up CDS API Credentials Before using the scripts, set up your CDS API credentials. Register at the CDS website and obtain your API key and URL.

Create a file named .cdsapirc in your home directory with the following content:

url: https://cds.climate.copernicus.eu/api/v2
key: YOUR_CDS_API_KEY