MeteoIODoc  MeteoIODoc-2.9.0
mio::ClearSkyLWGenerator Class Reference

Detailed Description

ILWR clear sky parametrization.

Using air temperature (TA) and relative humidity (RH), this offers the choice of several clear sky parametrizations with the following arguments:

  • TYPE: specify the parametrization that should be used, any of the following:
    • BRUTSAERT – from Brutsaert, "On a Derivable Formula for Long-Wave Radiation From Clear Skies", Journal of Water Resources Research, 11, No. 5, October 1975, pp 742-744.
    • DILLEY – from Dilley and O'Brien, "Estimating downward clear sky long-wave irradiance at the surface from screen temperature and precipitable water", Q. J. R. Meteorolo. Soc., 124, 1998, pp 1391-1401.
    • PRATA – from Prata, "A new long-wave formula for estimating downward clear-sky radiation at the surface", Q. J. R. Meteorolo. Soc., 122, 1996, pp 1127-1151.
    • CLARK – from Clark & Allen, "The estimation of atmospheric radiation for clear and cloudy skies", Proceedings of the second national passive solar conference, 2, 1978, p 676.
    • TANG – from Tang et al., "Estimates of clear night sky emissivity in the Negev Highlands, Israel", Energy Conversion and Management, 45.11, 2004, pp 1831-1843.
    • IDSO – from Idso, "A set of equations for full spectrum and 8 to 14 um and 10.5 to 12.5 um thermal radiation from cloudless skies", Water Resources Research, 17, 1981, pp 295-304.

Please keep in mind that for energy balance modeling, this significantly underestimate the ILWR input.

[Generators]
ILWR::generator1 = clearsky_LW
ILWR::arg1::type = Dilley

#include <ClearSkyLWGenerator.h>

Public Member Functions

 ClearSkyLWGenerator (const std::vector< std::pair< std::string, std::string > > &vecArgs, const std::string &i_algo, const std::string &i_section, const double &TZ)
 
bool generate (const size_t &param, MeteoData &md)
 
bool create (const size_t &param, const size_t &ii_min, const size_t &ii_max, std::vector< MeteoData > &vecMeteo)
 Fill one time series of MeteoData for one station. More...
 
- Public Member Functions inherited from mio::GeneratorAlgorithm
virtual ~GeneratorAlgorithm ()
 
bool skipStation (const std::string &station_id) const
 Should this station be skipped, based on user-provided station ID restrictions? More...
 
bool skipTimeStep (const Date &dt) const
 Should this timestep be skipped, based on user-provided time restrictions? More...
 
std::vector< DateRangegetTimeRestrictions () const
 
std::string getAlgo () const
 

Additional Inherited Members

- Protected Member Functions inherited from mio::GeneratorAlgorithm
 GeneratorAlgorithm (const std::vector< std::pair< std::string, std::string > > &vecArgs, const std::string &i_algo, const std::string &i_section, const double &TZ)
 protected constructor only to be called by children More...
 
- Static Protected Member Functions inherited from mio::GeneratorAlgorithm
static std::set< std::string > initStationSet (const std::vector< std::pair< std::string, std::string > > &vecArgs, const std::string &keyword)
 
- Protected Attributes inherited from mio::GeneratorAlgorithm
const std::vector< DateRangetime_restrictions
 
const std::set< std::string > excluded_stations
 
const std::set< std::string > kept_stations
 
const std::string algo
 
const std::string section
 
- Static Protected Attributes inherited from mio::GeneratorAlgorithm
static const double soil_albedo = .23
 
static const double snow_albedo = .85
 
static const double snow_thresh = .1
 

Constructor & Destructor Documentation

◆ ClearSkyLWGenerator()

mio::ClearSkyLWGenerator::ClearSkyLWGenerator ( const std::vector< std::pair< std::string, std::string > > &  vecArgs,
const std::string &  i_algo,
const std::string &  i_section,
const double &  TZ 
)
inline

Member Function Documentation

◆ create()

bool mio::ClearSkyLWGenerator::create ( const size_t &  param,
const size_t &  ii_min,
const size_t &  ii_max,
std::vector< MeteoData > &  vecMeteo 
)
virtual

Fill one time series of MeteoData for one station.

This is used by the dataCreators to create a new parameter in one go for the whole timeseries.

Parameters
[in]parammeteo parameter to generate
[in]ii_minminimum index to apply it to in vecMeteo
[in]ii_maxmaximum index to apply it to in vecMeteo
[in]vecMeteometeo timeseries to process
Returns
true if all missing data points for the given parameter could be generated, false otherwise

Implements mio::GeneratorAlgorithm.

◆ generate()

bool mio::ClearSkyLWGenerator::generate ( const size_t &  param,
MeteoData md 
)
virtual

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