class SaturationVapourPressureInz(lland_sequences.Flux1DSequence):
"""Sättigungsdampdruck unmittelbar oberhalb der Oberfläche des interzepierten
Schnees (saturation vapour pressure directly above the surface of the intercepted
snow) [hPa]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SBesInz(lland_sequences.Flux1DSequence):
"""Gefrorener Bestandsniederschlag, der den Schneeinterzeptionsspeicher erreicht
(frozen amount of stand precipitation reaching the snow interception storage)
[mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class STInz(lland_sequences.State1DSequence):
"""Wasseräquivalent Trockenschnee im Interzeptionsspeicher (total water equivalent
of the intercepted snow) [mm]."""
NDIM, NUMERIC, SPAN = 1, False, (0.0, None)
mask = lland_masks.Forest()
def trim(self, lower=None, upper=None):
r"""Trim values in accordance with :math:`SInz \leq PWMax \cdot STInz`,
or at least in accordance with if :math:`STInz \geq 0`.
>>> from hydpy.models.lland import *
>>> parameterstep()
>>> nhru(7)
>>> pwmax(2.0)
>>> states.sinz = -1.0, 0.0, 1.0, -1.0, 5.0, 10.0, 20.0
>>> states.stinz(-1.0, 0.0, 0.0, 5.0, 5.0, 5.0, 5.0)
>>> states.stinz
stinz(0.0, 0.0, 0.5, 5.0, 5.0, 5.0, 10.0)
"""
pwmax = self.subseqs.seqs.model.parameters.control.pwmax
sinz = self.subseqs.sinz
if lower is None:
lower = numpy.clip(sinz / pwmax, 0.0, numpy.inf)
lower[numpy.isnan(lower)] = 0.0
super().trim(lower, upper)
class ASInz(lland_sequences.State1DSequence):
"""Dimensionsloses Alter des interzipierten Schnees (dimensionless age of the
intercepted snow layer) [-].
If there is no intercepted snow, the value of |ASInz| is |numpy.nan|.
"""
NDIM, NUMERIC, SPAN = 1, False, (0.0, None)
mask = lland_masks.Forest()
class NetRadiationInz(lland_sequences.Flux1DSequence):
"""Nettostrahlung des interzepierten Schnees (total net radiation of the
intercepted snow [W/m²].
With positive values, the soil gains heat from radiation.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class WSurfInz(lland_sequences.Flux1DSequence):
"""Wärmestrom vom Körper des interzepierten Schnees bis zu dessen Schneeoberfläche
(heat flux from the body of the intercepted snow to its surface) [W/m²].
With positive values, the snow-layer looses heat to the atmosphere.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class WNiedInz(lland_sequences.Flux1DSequence):
"""Niederschlagsbedingter Wärmestrom in den Schneeinterzeptionsspeicher (heat flux
into the snow interception storage due to precipitation) [W/m²].
With positive values, the snow layer gains heat from precipitation.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class ActualAlbedoInz(lland_sequences.Flux1DSequence):
"""Aktuelle Albedo der Oberfläche des interzeptierten Schnees (the current albedo
of the surface of the intercepted snow) [-].
If there is no intercepted snow, the value of |ActualAlbedoInz| is |numpy.nan|.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class WLatInz(lland_sequences.Flux1DSequence):
"""Latente Wärmestrom interzepierter Schnee/Atmosphäre (latent heat flux between
the intercepted snow and the atmosphere) [MJ/m²].
With positive values, the snow-layer looses heat to the atmosphere.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class WSensInz(lland_sequences.Flux1DSequence):
"""Fühlbare Wärmestrom interzipierter Schnee/Atmosphäre (sensible heat flux
between the intercepted snow and the atmosphere) [W/m²].
With positive values, the snow-layer looses heat to the atmosphere.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class NetLongwaveRadiationInz(lland_sequences.Flux1DSequence):
"""Langwellige Nettostrahlung des interzepierten Schnees (net longwave radiation
of the intercepted snow [W/m²].
With positive values, the snow-layer gains heat from radiation.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class NetShortwaveRadiationInz(lland_sequences.Flux1DSequence):
"""Kurzwellige Netto-Strahlungsbilanz für den interzipierten Schnee (net shortwave
radiation for intercepted snow) [W/m²].
With positive values, the soil gains heat from radiation. Without intercepted
snow, |NetShortwaveRadiationInz| is |numpy.nan|.
"""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SInz(lland_sequences.State1DSequence):
"""Wasseräquivalent Gesamtschnee im Interzeptionsspeicher (frozen water equivalent
of the intercepted snow) [mm]."""
NDIM, NUMERIC, SPAN = 1, False, (0.0, None)
mask = lland_masks.Forest()
def trim(self, lower=None, upper=None):
r"""Trim values in accordance with :math:`0 \leq SInz \leq PWMax \cdot STInz`.
>>> from hydpy.models.lland import *
>>> parameterstep("1d")
>>> nhru(7)
>>> pwmax(2.0)
>>> states.stinz = 0.0, 0.0, 0.0, 5.0, 5.0, 5.0, 5.0
>>> states.sinz(-1.0, 0.0, 1.0, -1.0, 5.0, 10.0, 20.0)
>>> states.sinz
sinz(0.0, 0.0, 0.0, 0.0, 5.0, 10.0, 10.0)
"""
pwmax = self.subseqs.seqs.model.parameters.control.pwmax
stinz = self.subseqs.stinz
if upper is None:
upper = pwmax * stinz
super().trim(lower, upper)
class GefrPotInz(lland_sequences.Flux1DSequence):
"""Potentielles Wiedergefrieren des interzipierten Schnees (potential amount
of water refreezing within the snow interception storage) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SchmInz(lland_sequences.Flux1DSequence):
"""Tatsächliche Schmelze des interzepierten Schnees (actual amount of snow
melting within the snow cover) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SchmPotInz(lland_sequences.Flux1DSequence):
"""Potentielle Schmelze des interzepierten Schnees (potential amount of snow
melting within the snow interception storage) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class WaDaInz(lland_sequences.Flux1DSequence):
"""Wasserdargebot des Schneeinterzeptionsspeichers (water leaving the snow
interception storage) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class GefrInz(lland_sequences.Flux1DSequence):
"""Tatsächliche Wiedergefrieren des interzipierten Schnees (actual amount of
water refreezing within the snow interception storage) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class ESnowInz(lland_sequences.State1DSequence):
"""Kälteinhalt der Schneedecke des Interzeptionsspeichers [WT/m²]."""
NDIM, NUMERIC, SPAN = 1, False, (None, None)
mask = lland_masks.Forest()
class EvSInz(lland_sequences.Flux1DSequence):
"""Tatsächliche Verdunstung des interzepierten Schnees (actual evaporation of
the intercepted snow) [mm/T]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SnowIntMax(lland_sequences.Flux1DSequence):
"""Schneeinterzeptionsspeicherkapazität (capacity of the snow interception
storage) [mm]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class SnowIntRate(lland_sequences.Flux1DSequence):
"""Anteil des im Schneeinterzeptionsspeicher zurückgehaltenen Niederschlags
(ratio between the snow interception rate and precipitation) [-]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
class NBesInz(lland_sequences.Flux1DSequence):
"""Gesamter Bestandsniederschlag, der den Schneeinterzeptionsspeicher erreicht
(total stand precipitation reaching the snow interception storage) [mm]."""
NDIM, NUMERIC = 1, False
mask = lland_masks.Forest()
