Calibration of the wflow_sbm model for the Rhine catchment using EOBS data

DEM and landuse data

The digital elevation model used was the SRTM 90x90 m resolution dataset. The DEM was used to determine the river network and the altitude of each cell using the following steps:

# The 90x90 m DEM was used to determine the local drainage network (D8) and pits were removed from the network # The network determined above was used to fix the river network when resampling the DEM to a 900x900 m resolution DEM. # [pm] resampling procedure

Corina land-use map and reclassification [PM]

Forcing data

The wflowsbm model was calibrated for the Rhine basin using daily temperature and precipitation data from the EOBS dataset [Haylock] (version 5.0). Discharge was taken from the CHR daily dataset ([gorgen]). Potential evapotranspiration was determined using and adjusted version Hargraeves’ method ([weiland]):

E_{pot} = 0.0031 (T + 17.78) abs(T_{max} - T_{min})^{0.5} R

In which 0.0031 is a calibration factor and R is the clear sky solar radiation expressed in mm/day.

Within the wflow_sbm model the temperature is corrected for altitude differences within one EOBS cell. For each wflow_sbm 1x1km cell the temperature is corrected by using the differences between the altitude in that cell and the average altitude within the matching EOBS cell and applying a lapse rate.

Gauge data from CHR

Calibration procedure

Calibration was performed in two steps. First an initial gues of all parameters was made based on land-use type. Secondly a full matrix search of a number of parameters was performed and best perfroming sets have been chosen per subcatchment (based on NS and bias).

The plots below show the calibration results for the period 1985 – 1995 for the following stations:

Rhein-Basel, Rheinhalle
Kalkhoven
Rockenau
Kaub
Koeln
Lobith
Raunheim
Cochem
Andernach
Maxau
Schermbeck
Menden
Hattingen

The title of the plots also shows the model efficiency (Nash and Sutcliffe).

Modified landuse

(Source code)

_images/calibplot_lunew_00.png

(png, hires.png, pdf)

_images/calibplot_lunew_01.png

(png, hires.png, pdf)

_images/calibplot_lunew_02.png

(png, hires.png, pdf)

_images/calibplot_lunew_03.png

(png, hires.png, pdf)

_images/calibplot_lunew_04.png

(png, hires.png, pdf)

_images/calibplot_lunew_05.png

(png, hires.png, pdf)

_images/calibplot_lunew_06.png

(png, hires.png, pdf)

_images/calibplot_lunew_07.png

(png, hires.png, pdf)

_images/calibplot_lunew_08.png

(png, hires.png, pdf)

_images/calibplot_lunew_09.png

(png, hires.png, pdf)

_images/calibplot_lunew_10.png

(png, hires.png, pdf)

_images/calibplot_lunew_11.png

(png, hires.png, pdf)

_images/calibplot_lunew_12.png

(png, hires.png, pdf)

_images/calibplot_lunew_13.png

(png, hires.png, pdf)

[Haylock]Haylock, M.R., N. Hofstra, A.M.G. Klein Tank, E.J. Klok, P.D.

Jones, M. New. 2008: A European daily high-resolution gridded dataset of surface temperature and precipitation. J. Geophys. Res (Atmospheres), 113, D20119, doi:10.1029/2008JD10201”

[gorgen]Görgen, K., Beersma, J., Brahmer, G., Buiteveld, H., Carambia, M.,

de Keizer, O., Krahe, P., Nilson, E., Lammersen, R., Perrin, C. and Volken, D. (2010) Assessment of Climate Change Impacts on Discharge in the Rhine River Basin: Results of the RheinBlick2050 Project, CHR report, I-23, 229 pp., Lelystad, ISBN 978-90-70980-35-1

[weiland]Sperna Weiland, F. C., C. Tisseuil, H. H. Dürr, M. Vrac, and L. P.

H. Van Beek, “Selecting the optimal method to calculate daily global reference potential evaporation from CFSR reanalysis data for application in a hydrological model study,” Hydrology and Earth System Sciences, vol. 16, pp. 983–1000, 2012.