News articles

New research article online!

Samuel Scherrer published a new article about vegetation data assimilation into a land surface model.

Effect of LAI data assimilation on different variables

© Copernicus

Samuel Scherrer published the article "Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe" in Copernicus' Hydrology and Earth System Sciences. 


  • Copernicus Global Land Service LAI retrievals were assimilated into the Noah-MP land surface model.
  • Both bias-blind and bias-aware data assimilation methods were tested
  • In areas with a large LAI bias, the bias-blind LAI DA leads to a reduced bias between observed and modelled LAI, an improved agreement of GPP, ET, and runoff estimates with independent products, but a worse agreement of soil moisture estimates with the European Space Agency Climate Change Initiative (ESA CCI) soil moisture product.
  • The bias-aware approaches based on a priori rescaling of LAI observations to the model climatology avoid the negative effects of the bias-blind assimilation. 

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