model.runtime.runners.grid_simulation_runner

Grid-based simulation runner for ADELM.

Module Contents

Classes

GridSimulationRunner

Forward-run ADELM on a spatial (lat x lon) grid.

Data

log
__all__

API

model.runtime.runners.grid_simulation_runner.log

‘getLogger(…)’

class model.runtime.runners.grid_simulation_runner.GridSimulationRunner(config, model, site_ids=None, time_values=None, data=None)

Bases: model.runtime.runners.base_runner.BaseRunner

Forward-run ADELM on a spatial (lat x lon) grid.

Initialization

classmethod from_config(config_path, config_overrides=None)

bind_grid_static_inputs()

load_grid_static_inputs()

load_grid_static()

load_static()

run(year_start=None, month_start=None, year_end=None, month_end=None, output_dir=None, checkpoint_dir=None, resume_from=None, save_outputs=True)

Run the forward model over the spatial grid, stepping month by month.

Resolves the run window from arguments or config, optionally resumes from a monthly checkpoint or runs spinup cycles, then iterates over each month: loads that month’s gridded drivers, runs the forward model on the flattened valid pixels, and writes daily/monthly outputs and an end-of-month state checkpoint.

Parameters

year_start, month_start, year_end, month_end : int, optional Run window bounds; default to the grid_simulation.time config. output_dir, checkpoint_dir : str, optional Output and checkpoint directories; default to config-derived paths. resume_from : str, optional Checkpoint to restart prognostic states from. save_outputs : bool Whether to write output NetCDF files (set False for spinup-only).

model.runtime.runners.grid_simulation_runner.__all__

[‘GridSimulationRunner’]