Abstract
The skill of the land surface model HTESSEL is
assessed to reproduce evaporation in response to land surface
characteristics and atmospheric forcing, both being spatially
variable. Evaporation estimates for the 2005 growing season
are inferred from satellite observations of the Western part
of Hungary and compared to model outcomes. Atmospheric
forcings are obtained from a hindcast run with the Regional
Climate Model RACMO2. Although HTESSEL slightly
underpredicts the seasonal evaporative fraction as compared
to satellite estimates, the mean, 10th and 90th percentile of
this variable are of the same magnitude as the satellite observations.
The initial water as stored in the soil and snow layer
does not have a significant effect on the statistical properties
of the evaporative fraction. However, the spatial distribution
of the initial soil and snow water significantly affects the
spatial distribution of the calculated evaporative fraction and
the models ability to reproduce evaporation correctly in low
precipitation areas in the considered region. HTESSEL
performs weaker in dryer areas. In Western Hungary these
areas are situated in the Danube valley, which is partly
covered by irrigated cropland and which also may be affected
by shallow groundwater. Incorporating (lateral) groundwater
flow and irrigation, processes that are not included now, may
improve HTESSELs ability to predict evaporation correctly.
Evaluation of the model skills using other test areas and
larger evaluation periods is needed to confirm the results.
Original language | English |
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Pages (from-to) | 1257-1271 |
Journal | Hydrology and Earth System Sciences |
Volume | 15 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2011 |
Keywords
- land surface
- evapotranspiration
- remote sensing
- climatic change
- models
- hungary
- terrestrial water storage
- era-40 reanalysis
- balance closure
- climate models
- field
- atmosphere
- hydrology
- impact
- basin