2015
DOI: 10.5194/piahs-368-81-2015
|View full text |Cite
|
Sign up to set email alerts
|

Surface resistance calibration for a hydrological model using evapotranspiration retrieved from remote sensing data in Nahe catchment forest area

Abstract: In this paper, a method combining graphical and statistical techniques is proposed for surface resistance calibration in a distributed hydrological model, WaSiM-ETH, by comparing daily evapotranspiration simulated by model WaSiM-ETH with corresponding daily evapotranspiration retrieved from remote sensing images. The study area locates in Nahe catchment (Rhineland-Palatinate, Germany, 4065 km 2 ) forest regions. The remote sensing based observations are available for a very limited number of days but represent… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 16 publications
(12 reference statements)
0
3
0
Order By: Relevance
“…Therefore, soil parameteri-zation, and especially the representation of the Water Retention Curve -as one of the most important soil-physical characteristics -strongly influence the simulation of evapotranspiration. A similar effect can be observed when canopy resistances are wrongly estimated (Bie et al, 2015). In order to find an appropriate model parametrization, we have to verify that the model realistically reproduces both, the temporal patterns of soil moisture and evapotranspiration.…”
Section: Introductionmentioning
confidence: 64%
See 2 more Smart Citations
“…Therefore, soil parameteri-zation, and especially the representation of the Water Retention Curve -as one of the most important soil-physical characteristics -strongly influence the simulation of evapotranspiration. A similar effect can be observed when canopy resistances are wrongly estimated (Bie et al, 2015). In order to find an appropriate model parametrization, we have to verify that the model realistically reproduces both, the temporal patterns of soil moisture and evapotranspiration.…”
Section: Introductionmentioning
confidence: 64%
“…(Schulla, 2017). The WaSiM-ETH model has performed well in sub-alpine and alpine catchments (Cullmann et al, 2006;Gurtz et al, 2003;Jasper, 2001;Jasper et al, 2002;Klok et al, 2001;, also in middle-mountain (Bie et al, 2015;Grigoryan et al, 2010;Middelkoop et al, 2001), and lowland catchments (Elfert and Bormann, 2010). The model is documented in both English and German and can be used free of cost (http://www.wasim.ch).…”
Section: Hydrological Modelmentioning
confidence: 99%
See 1 more Smart Citation