Vegetation model inter-comparison benchmarking


This benchmarking system provides a way of qualitatively assessing model vegetation model performance and comparing different vegetation models across a variety of vegetation and land surface processes. Model performance scores are easy to understand and comparisons against the systems 'null models' helps interpret score quality. The system is easily adapted to included new benchmark datasets and assessment of new process.

Vegetation processes currently included in the system:

  • net and gross primary production
  • seasonal net ecosystem production
  • vegetation cover and composition
  • vegetation height
  • spatial, seasonal and inter-annual fractional absorbed radiation

Land surface processes included:

  • Multiple fire observations:

    • Two global fire datasets
    • Two Australia fire datasets
    • Burnt area
    • Fire Season timing and length
    • Inter-annual variation in fire
  • Inter-annual variations in river basin discharge.


 


Benchmark metrics


An R-package containing the metrics and null models. To install, you first need to install and open the devtools package , which is easily done from CRAN . Then run
install_github("douglask3/benchmarkmetrics/benchmarkmetrics")
Click here for documentation

LPX Benchmarking system


The LPX benchmarking system links LPX converted outputs to the vegetation model benchmarking system. This should also be compatatble to other vegetation models so long as the model outputs are in ncdf format, with one variable each file and with each layer representing a time step. This is hosted on bitbucket and is openly available, but is new so email me if you have any problems.

Latest Vegetation model inter-comparison benchmarking blog



fireMIP


Infomation on benchmarking models participating in the fire Model Inter-comparison Project (fireMIP).


LPX-Mv1


The Land surface Processes and eXchanges (LPX) model is a fire-enabled dynamic global vegetation model that performs well globally but has problems representing fire regimes and vegetative mix in savannas. Here we focus on improving the fire module. To improve the representation of ignitions, we introduced a reatment of lightning ...


Vegetation Model Benchmarking system


We present a benchmark system for global vegetation models. This system provides a quantitative evaluation of multiple simulated vegetation properties, including primary production; seasonal net ecosystem production; vegetation cover; composition and height; fire regime; and runoff. The benchmarks are derived from remotely sensed gridded datasets and site-based observations. The datasets ...

More posts here . . .