NetCDF Converter Module

The NetCDF converter module handles the transformation of LPJ-GUESS output data into NetCDF format.

Note

This module provides vectorized data processing capabilities, resulting in significant performance improvements for large datasets.

Main Processing Functions

The module provides these key functions:

process_file(file_paths, output_path, grid_info, verbose=False, inner_jobs=None, chunk_size=None, pattern_filter=None)

The main entry point for processing LPJ-GUESS output files. This function determines the type of file (1D or 2D) and delegates to the appropriate handler.
process_2d_file(file_paths, output_path, grid_info, verbose=False, inner_jobs=None, chunk_size=None, pattern_filter=None)

Processes 2D output files (the most common type in LPJ-GUESS output), which contain spatial data across a grid.

get_parallel_config(verbose=False, requested_jobs=0, requested_chunk_size=0)

Functions that handle the configuration and execution of parallel processing, optimizing performance for large datasets.

expand_data_to_full_grid(data, lat_idx, lon_idx, grid_info)

Functions that transform sparse data into a complete gridded dataset, properly handling missing values and using efficient vectorized operations.