Articles | Volume 11, issue 1
Methods for assessment of models
17 Jan 2018
Methods for assessment of models |  | 17 Jan 2018

On the predictability of land surface fluxes from meteorological variables

Ned Haughton, Gab Abramowitz, and Andy J. Pitman

Model code and software

empirical_lsm N. Haughton

Short summary
Previous studies indicate that fluxes of heat, water, and carbon between the land surface and atmosphere are substantially more predictable than the performance of the current crop of land surface models would indicate. This study uses simple empirical models to estimate the amount of useful information in meteorological forcings that is available for predicting land surface fluxes. These models can be used as benchmarks for land surface models and may help identify areas ripe for improvement.