Functions that quantify how well the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) reproduces land surface processes when compared against reference data. To summarize model performance across different statistical metrics, this package employs a skill score system that was originally developed by Collier et. al., (2018) <doi:10.1029/2018MS001354> .

Automated Model Benchmarking R Package

package-ubuntu-20.04-r-4.0.5#cran#amber-1.0.3

<p>This function computes anomalies.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>An R object</p>
</td>
</tr></table>

<p>An R object that gives the anomalies
</p>

# make some data
month <- seq(1,12,1)
month <- rep(month,10)
mod <- runif(length(month), 0,100)
mod <- data.frame(month, mod)
# compute anomalies
mod.anom <- data.frame(apply(mod[2], 2, intFun.anom))

package-ubuntu-20.04-r-4.0.5#cran#amber-1.0.3#docs#intFun.anom

intFun.anom

Description

Usage

Arguments

Value

Examples

amber

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