Source code for rameau.core.snow.snow_correction

# Copyright 2025, BRGM
# 
# This file is part of Rameau.
# 
# Rameau is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# 
# Rameau is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE. See the GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License along with
# Rameau. If not, see <https://www.gnu.org/licenses/>.
#
"""
Correction parameters applied to snow melting physical processes.
"""

from rameau.wrapper import CSnowCorrection

from rameau.core import Parameter
from rameau.core._abstract_wrapper import AbstractWrapper
from rameau.core._descriptor import _DerivedTypeDecriptor

from rameau._typing import ParameterType
from rameau.core._utils import _build_parameter

[docs] class SnowCorrectionParameters(AbstractWrapper): """Correction parameters applied to snow melting physical processes. Parameters ---------- pet : `dict` or `Parameter`, optional Correction factor on |PET| used for snow sublimation (%). rainfall : `dict` or `Parameter`, optional Correction factor for snow melting by rain calories (%). temperature : `dict` or `Parameter`, optional Temperature correction term (°C). Corrects any discrepancy affecting the model input temperature. Returns ------- `SnowCorrectionParameters` """ _computed_attributes = "pet", "temperature", "rainfall" _c_class = CSnowCorrection rainfall: Parameter = _DerivedTypeDecriptor( 0, Parameter, doc="Correction factor for snow melting by rain calories (%)." ) # type: ignore pet: Parameter = _DerivedTypeDecriptor( 1, Parameter, doc=( "Correction factor on Potential Evapotranspiration used for " "snow sublimation (%)." ) ) # type: ignore temperature: Parameter = _DerivedTypeDecriptor( 2, Parameter, doc=( "Temperature correction term (°C). Corrects any discrepancy " "affecting the model input temperature." ) ) # type: ignore def __init__( self, pet: ParameterType = None, rainfall: ParameterType = None, temperature: ParameterType = None, ) -> None: self._init_c() if pet is not None: self.pet = _build_parameter(pet) if temperature is not None: self.temperature = _build_parameter(temperature) if rainfall is not None: self.rainfall = _build_parameter(rainfall)