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MERRA2 Weather Data Processor

A Python script for processing MERRA2 (Modern-Era Retrospective analysis for Research and Applications, Version 2) meteorological data by extracting specific variables (Sea Level Pressure and 2-meter Temperature) for a defined geographic region.

Overview

This script processes MERRA2 NetCDF files by:

  • Extracting Sea Level Pressure (SLP) and 2-meter Temperature (T2M) variables
  • Filtering data for a specific geographic region (42°N-58°N, 15°W-0°E)
  • Processing data for a defined time period (2019-2021)
  • Saving processed data into daily NetCDF files

Usage

  1. Set up your input and output directories in the script:
input_dir = "/data/to/directory/MERRA2_v2/dataset/M2I1NXASM/"
output_dir = "/data/to/directory/MERRA2_v2/dataset/M2I1NXASM_processed_V1/"
  1. Configure the time period and geographic bounds if needed:
START_DATE = datetime(2019, 1, 1)
END_DATE = datetime(2021, 12, 31)
LON_BOUNDS = (-15, 0)
LAT_BOUNDS = (42, 58)
  1. Run the script:
python preprocess_weather_analog.py

File Structure

The script processes input files with the format:

  • Input: MERRA2*.YYYYMMDD.SUB.nc
  • Output: MERRA2_SLP_T2M_YYYYMMDD.nc

Features

  • Automatic File Processing: Processes all files within the specified date range
  • Skip Existing Files: Avoids reprocessing already processed dates
  • Error Handling: Robust error handling for missing or corrupt files
  • Progress Tracking: Prints processing status for each file

Code Structure

The script is organized into two main functions:

  1. process_single_file(input_file, output_file):

    • Opens MERRA2 NetCDF file
    • Extracts SLP and T2M variables
    • Filters for specified geographic region
    • Saves processed data to new NetCDF file

  2. main():

    • Iterates through dates in the specified range
    • Handles file path construction
    • Manages file existence checks
    • Orchestrates the processing workflow

The script is designed to be memory-efficient by processing one file at a time and includes comprehensive error handling to ensure robust operation even with missing or problematic input files.