Description Usage Arguments Value

View source: R/functions2eval.R

Downward Longwave Radiation from a emissivity and a cloud cover schemes

1 2 3 |

`data_` |
Data frame with column of date (date), temperature (Ta), partial vapor pressure (es), potencial radiation (Rpot), relative humidity (rh), atennuation index (K) |

`E_fun` |
Emissivity scheme |

`C_fun` |
Cloud cover scheme |

`adjust` |
FALSE, TRUE if nonlinear least square adjusting wanted |

`method` |
"non-linear" (default) for Non linear Least Square adjust, "montecarlo" for MonteCarlo optimization. Later be usseful when a NLS can't adjust observed data allowing optimization. |

`nsample` |
population number evaluated in each iteration (only when method = "montecarlo"). |

`max_iter` |
maximun number of iterations (only when method = "montecarlo"). |

`stats` |
statistical function to be minimized (only when method = "montecarlo"), NOTE: the best result should be 0.0 (ex., if stats = r (correlation), then transform to rMod = 1.0 - r, so the best result is when r== 1.0, so rMod == 0.0) |

`log_file` |
path to a log file |

`ret_coefs` |
Return coeficients from adjusting, in this case a list contein both information: estimated Li and coeficients used or determined. |

`forced` |
Forced adjust, default TRUE |

Vector with Downward Longwave Radiation time series

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.