In [ ]:

# Uncomment to install climdata in Google Colab or other environments
# !pip install climdata

# Uncomment to install climdata in Google Colab or other environments # !pip install climdata

NEX-GDDP-CMIP6 — climdata Example¶

NEX-GDDP-CMIP6 is NASA's globally downscaled, bias-corrected CMIP6 product at 0.25° (~25 km) daily resolution.

This example runs the full workflow for a single point: extract → impute gaps → compute a climate extreme index → write NetCDF.

Extract, Impute, and Compute an Index¶

In [ ]:

from climdata import ClimData
import pandas as pd
import xarray as xr

import logging

logging.basicConfig(
    level=logging.INFO,
    format="%(levelname)s | %(message)s",
    force=True,
)

from climdata import ClimData import pandas as pd import xarray as xr import logging logging.basicConfig( level=logging.INFO, format="%(levelname)s | %(message)s", force=True, )

In [ ]:

overrides = [
    "dataset=nexgddp",  # Choose the NEX-GDDP dataset for extraction
    "lat=52",
    "lon=13",
    "time_range.start_date=1989-01-01",  # Start date for data extraction
    "time_range.end_date=1989-12-31",    # End date for data extraction
    "variables=[tasmin]",       # Variables to extract: min/max temp and precipitation
    "data_dir=./data",    # Local directory to store raw/intermediate files
    "source_id=GFDL-ESM4",
    "index=tn10p",  # Climate extreme index to calculate
    "impute=BRITS"
]

# -----------------------------
# Step 1: Define the workflow sequence
# -----------------------------
seq = ["extract", "impute", "calc_index", "to_nc"]

# -----------------------------
# Step 2: Initialize the ClimData extractor
# -----------------------------
extractor = ClimData(overrides=overrides)

# -----------------------------
# Step 3: Run the Multi-Step workflow
# -----------------------------
result = extractor.run_workflow(
    actions=seq,
)

overrides = [ "dataset=nexgddp", # Choose the NEX-GDDP dataset for extraction "lat=52", "lon=13", "time_range.start_date=1989-01-01", # Start date for data extraction "time_range.end_date=1989-12-31", # End date for data extraction "variables=[tasmin]", # Variables to extract: min/max temp and precipitation "data_dir=./data", # Local directory to store raw/intermediate files "source_id=GFDL-ESM4", "index=tn10p", # Climate extreme index to calculate "impute=BRITS" ] # ----------------------------- # Step 1: Define the workflow sequence # ----------------------------- seq = ["extract", "impute", "calc_index", "to_nc"] # ----------------------------- # Step 2: Initialize the ClimData extractor # ----------------------------- extractor = ClimData(overrides=overrides) # ----------------------------- # Step 3: Run the Multi-Step workflow # ----------------------------- result = extractor.run_workflow( actions=seq, )