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()