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Fix land variable performance issue by eagerly loading data #40

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Merged
merged 1 commit into from
Oct 10, 2025
Merged

Fix land variable performance issue by eagerly loading data #40

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12 changes: 12 additions & 0 deletions zppy_interfaces/global_time_series/coupled_global/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -178,11 +178,23 @@ def process_variable(
# 2. Load only this variable's data
dataset = xcdat.open_mfdataset(file_paths, center_times=True)

# For TOTAL metrics, eagerly load area fields to avoid lazy computation issues
if var.metric == Metric.TOTAL:
if "valid_area_per_gridcell" in dataset:
dataset["valid_area_per_gridcell"].load()
if "area" in dataset:
dataset["area"].load()
if "landfrac" in dataset:
dataset["landfrac"].load()

try:
# 3. Compute annual average
annual_dataset = dataset.temporal.group_average(var.variable_name, "year")
data_array = annual_dataset.data_vars[var.variable_name]

# Eagerly load the result to avoid lazy computation issues
data_array.load()

# 4. Apply area scaling if needed
data_array = apply_scaling(data_array, var.metric, dataset)

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