Source code for lusos.data.emission_factors
from importlib import resources
import pandas as pd
import pooch
REGISTRY = pooch.create(
path=pooch.os_cache("lusos"),
base_url="https://github.com/Deltares-research/lulucf-somers/raw/main/data",
version=None,
env="LUSOS_DATA_DIR",
)
REGISTRY.load_registry(resources.files("lusos.data") / "registry.txt")
[docs]
def ef_low_netherlands(year: int = 2023) -> pd.DataFrame:
"""
Emission factors for the western part (low) part of the Netherlands for different BGT
and soiltype combinations for different greenhouse gasses and flux directions (i.e.
"out" or "in"). Fetches the data from a CSV file on the lulucf-somers repository.
Parameters
----------
year : int, optional
Year of the emission factors to retrieve. The default is 2024.
Returns
-------
pd.DataFrame
Emission factors with index of BGT-soiltype combinations.
"""
try:
filename = REGISTRY.fetch(f"emission_factors_{year}_low_nl.csv")
return pd.read_csv(filename, index_col="layer")
except ValueError as e:
raise ValueError(f"No emission factors available for year: {year}.") from e
[docs]
def ef_high_netherlands(year: int = 2023) -> pd.DataFrame:
"""
Emission factors for the eastern part (high) part of the Netherlands for different BGT
and soiltype combinations for different greenhouse gasses and flux directions (i.e.
"out" or "in"). Fetches the data from a CSV file on the lulucf-somers repository.
Parameters
----------
year : int, optional
Year of the emission factors to retrieve. The default is 2024.
Returns
-------
pd.DataFrame
Emission factors with index of BGT-soiltype combinations.
"""
try:
filename = REGISTRY.fetch(f"emission_factors_{year}_high_nl.csv")
return pd.read_csv(filename, index_col="layer")
except ValueError as e:
raise ValueError(f"No emission factors available for year: {year}.") from e
