Vegetation Model Benchmarking

Benchmark Metrics

This is an R package containing sepcifically design metrics to assess and benchmark Land Surface and Vegetation Models against observations, but can also be applied to any simulation vs observation comparison.

Metrics

That are 6 metrics used for differenttypes of comparison Normalised Mean Error and Normalised Mean Squred Error (NME/NMSE) for most comparisons (inc gridded, temporal and site based comparisons) Manhattan Metric and Square Chord Distance (MM/SCD) for "item" comparisons (i.e, fractional cover of different land surfaces) * Mean Phase Difference (MPD) for comparisons of osillaiting processes (i.e, seasonal or diurnal variations

Interpretation

Scores of metrics are easy to interpret for model everulation and inter-model comparisons. Null models help aid score evalutation futher.

How TO Use

To insatll the package, first make sure you have R/Rstudio running and you have installed and loaded devtools:

install.packages('devtools')
library(devtools)

Then run the following command to install and load Benchmark Metrics:

install_github('douglask3/benchmarkmetrics/benchmarkMetrics')
library(benchmarkMetrics)

To see help files and examples of how to use:

?benchmarkMetrics

Info on the main functions can be found using:

?NME
?MM
?MPD

More Info

click here for documentation.