TechSnow Class Reference

Detailed Description

Implementation of snow grooming.

This module relies on the following configuration keys, all in the [TechSnow] section:

• SNOW_GROOMING: if set to true, enables this module (default: false);
• GROOMING_WEEK_START: ISO week number when to start grooming (default: 40)
• GROOMING_WEEK_END: ISO week number when to stop grooming (default: 17)
• GROOMING_HOUR: at what time should grooming be performed? (default: 21 hour)
• GROOMING_DEPTH_START: how much snow must be on the ground to start grooming [m] (default: 0.4);
• GROOMING_DEPTH_IMPACT: maximum depth of snow impacted by grooming [m] (default: 0.4);

Author

Mathias Bavay, Pirmin Ebner and others

#include <TechnicalSnow.h>

Public Member Functions
	TechSnow (const SnowpackConfig &cfg)
bool	prepare (const mio::Date &current_date) const
	Defined time when the slope preparation happens (default: 9:00PM) and only for the winter season (default: week < 17 && week > 46). More...
void	preparation (SnowStation &Xdata) const
	Perform technical snow preparation. The technical snow preparation has only an influence on the upper 40 cm (default) and started with minimum snow depth of 40 cm (default). The maximum preparation density is 450 kg/m3. More...

Static Public Member Functions
static void	productionPpt (const CurrentMeteo &Mdata, const double &cumu_precip, double &Tw, double &rho_hn, double &delta_cH, double &theta_w)
	Compute the basic properties of newly produced technical snow (potentially mixed with natural snow) More...

Constructor & Destructor Documentation

TechSnow()

TechSnow::TechSnow

(

const SnowpackConfig &

cfg

)

Member Function Documentation

preparation()

void TechSnow::preparation

(

SnowStation &

Xdata

)

const

Perform technical snow preparation. The technical snow preparation has only an influence on the upper 40 cm (default) and started with minimum snow depth of 40 cm (default). The maximum preparation density is 450 kg/m3.

The densification is done with a fit on the data found in Wolfsperger, F., H. Rhyner, and M. Schneebeli, <"Pistenpräparation und Pistenpflege. Das Handbuch für den Praktiker.", Davos: WSL-Institut für Schnee-und Lawineforschung SLF, (2018).

Parameters

[in]

Xdata

Snow profile to prepare (grooming, etc)

prepare()

bool TechSnow::prepare

(

const mio::Date &

current_date

)

const

Defined time when the slope preparation happens (default: 9:00PM) and only for the winter season (default: week < 17 && week > 46).

Returns true if snow should be prepared

Parameters

[in]

current_date

current date

Returns

true if the snow should be prepared, false otherwise

productionPpt()

void TechSnow::productionPpt ( const CurrentMeteo &  Mdata, const double &  cumu_precip, double &  Tw, double &  rho_hn, double &  delta_cH, double &  theta_w  )

static

Compute the basic properties of newly produced technical snow (potentially mixed with natural snow)

The density of the produced technical snow depends on the wet-bulb temperature. The liquid water content depends on the wet-bulb temperature, average water temperature for the technical snow production (T_water = 1.5 C), average wind condition for snow production (v = 1.5 m/s). An average water loss due to wind, evaporation, etc. of 15 % is assumed.

• The data are taken from: Wolfsperger, F., H. Rhyner, and M. Schneebeli, "Pistenpräparation und Pistenpflege. Das Handbuch für den Praktiker.", Davos: WSL-Institut für Schnee-und Lawineforschung SLF, (2018).

  Parameters

  [in]	Mdata	Meteorological data
  [in]	cumu_precip	cumulated amount of precipitation (kg m-2)
  [out]	Tw	technical snow temperature (K)
  [out]	rho_hn	technical snow density (kg/m3)
  [out]	delta_cH	new snow fall height (m)
  [out]	theta_w	liquid water fraction of the new elements to be created (1)

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The documentation for this class was generated from the following files:

• TechnicalSnow.h
• TechnicalSnow.cc