View source: R/dart_prep_streamflow.R

`Model3SdErrClimTaper`

models three-sigma errors (same units as input)
as smallest (`qntlIncpt`

intercept is some climatological quantile) at
"climatological" observations (`qntlClim`

, e.g. median = .5) and grow to
some maximum percent error (`pctErr`

). This is expressed by

```
quantile(data, qntlIncpt) + pmin( pctErr*data,
pctErr*abs(data-quantile(data, qntlClim)) )
```

1 2 | ```
Model3SdErrClimTaper(data, qntlIncpt = 0.05, qntlClim = 0.5,
pctErr = 0.15)
``` |

`data` |
Numeric The values for which errors are to be modeled. |

`qntlIncpt` |
Numeric The quantile of historical observations to be used as minimum error or intercept. |

`qntlClim` |
Numeric The quantile of historical observations to be used as observation value of minimum error. |

`pctErr` |
Numeric The percent error associated with the observations. |

mccreigh/rwrfhydro documentation built on May 12, 2018, 3:08 a.m.

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.