Search Results

You are looking at 1 - 2 of 2 items for :

  • Journal of Hydrometeorology x
  • Process-Oriented Model Diagnostics x
  • All content x
Clear All
Maik Renner, Axel Kleidon, Martyn Clark, Bart Nijssen, Marvin Heidkamp, Martin Best, and Gab Abramowitz

1. Introduction a. Background and motivation Land surface models simulate distinct diurnal cycles of turbulent heat fluxes, but they also show systematic deviations from observations, which were reported in early ( Henderson-Sellers et al. 1995 ; Chen et al. 1997 ) and more recent model intercomparison studies ( Holtslag et al. 2013 ; Best et al. 2015 ). Best et al. (2015) used observational meteorological forcing to drive and evaluate state-of-the-art models at 20 different flux towers. A

Open access
Grey S. Nearing, Benjamin L. Ruddell, Martyn P. Clark, Bart Nijssen, and Christa Peters-Lidard

regression in the same variables. Their conclusion was that, since it is possible to develop regression models that outperform biogeophysical land models, the land models do not make full use of the information content of the atmospheric input data—some information that is present in the forcing data goes missing in the model simulations, due to model error. 3. Theory a. Benchmarking 1) What is benchmarking? Best et al. (2015) recognized three approaches that the land modeling community has generally

Full access