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This page briefly explains the pre-processing of the observations or NWPs to prepare the gridded dataset required as input to the hydrological model LISFLOOD OS. Specifically, the required inputs are total precipitation, 2-metre temperature, and reference evapotranspiration. 

  • In-situ observations Observations for EFAS are collected, quality checked, and interpolated by the CEMS-Meteorological Data Collection Centre (more details in this page). The quality checks are presented in, the interpolation algorithm is Spheremap. PAPER BY VERA: more details can be found in Thiemig et al. 2022
  • NWPs The meteorological variables are upsampled from their native resolution to 0.05 degrees resolution using bilinear interpolation: the interpolation algorithm is the desired resolution of EFAS and GloFAS using the interpolation algorithms implemented in the open-source pre-processor pyg2p. It is here noted that nearest neighbor interpolation was used for 0.1 degrees GloFAS set up (v3 and preceding versions).Nearest neighbor interpolation was used up to EFAS v4 and GloFAS v3 (5km European and 0.1 degrees global set-ups, respectively). Bilinear interpolation is used for EFAS v5 and GloFAS v4 (1 arcmin European and 0.05 degrees global set-ups, respectively).

Reference values of evapotranspiration are computed using either observations or NWPs and following the Penmann-Monteith method2-metre temperature, 2-metre dew temperature, 10-metre U wind component, 10-metre V wind component, surface solar radiation downwards, surface thermal radiation are used to compute  reference values of evapotranspiration according to the Penmann-Monteith equation, which is implemented in the open source pre-processor LISVAP .LISFLOOD OS then takes as input total precipitation, 2-metre temperature, and reference evapotranspiration. Similarly to all the previous GloFAS versions, the computations for GloFAS v4 are completed with daily time steps for all the hydrological processes, and sub-daily (4 hours) time steps for the river routing. All the output variables are available with daily time steps.