An international team of researchers performed a systematic evaluation of simulations made by nine FireMIP models in order to quantify their ability to reproduce a range of fire and vegetation benchmarks.
Tag Archive: Geoscientific Model Development
Research brief: Nutrient availability framework accurately forecasts plant growth from CO2 fertilisation effectMay 30, 2019 10:31 am Comments Off on Research brief: Nutrient availability framework accurately forecasts plant growth from CO2 fertilisation effect
CLEX researchers and colleagues revisit the quasi-equilibrium analytical framework introduced by Comins and McMurtrie (1993) and explore the consequences of specific model assumptions for ecosystem net primary productivity (NPP).
The MAAT framework can be used to systematically run multiple model simulations to explore how different underlying model assumptions, hypotheses and parameters lead to predicted model behaviour and isolate the causes of model divergence.