A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis ; year:2017 ; pages:1-25
Hydrology and earth system sciences discussions ; (2017), 1-25
- Creator
-
Pham, Minh Tu
Vernieuwe, Hilde
De Baets, Bernard
Verhoest, Niko E. C.
- DOI
-
10.5194/hess-2017-161
- URN
-
urn:nbn:de:101:1-2017110513906
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pham, Minh Tu
- Vernieuwe, Hilde
- De Baets, Bernard
- Verhoest, Niko E. C.
Other Objects (12)
A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis
A virtual hydrological framework for evaluation of stochastic rainfall models
A virtual hydrological framework for evaluation of stochastic rainfall models
Stochastic bias-correction of daily rainfall scenarios for hydrological applications
Rainfall as proxy for evapotranspiration predictions
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multifractal approach
A coupled hydrological and hydrodynamic modelling approach for estimating rainfall thresholds of debris-flow occurrence
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach
Hydrological effects of evapotranspiration in the Qilian Mountains forest belt
Stochastic rainfall interpolation and downscaling
Disaggregation of spatial rainfall fields for hydrological modelling
Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows
A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis
A virtual hydrological framework for evaluation of stochastic rainfall models
A virtual hydrological framework for evaluation of stochastic rainfall models
Stochastic bias-correction of daily rainfall scenarios for hydrological applications
Rainfall as proxy for evapotranspiration predictions
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multifractal approach
A coupled hydrological and hydrodynamic modelling approach for estimating rainfall thresholds of debris-flow occurrence
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach
Hydrological effects of evapotranspiration in the Qilian Mountains forest belt
Stochastic rainfall interpolation and downscaling
Disaggregation of spatial rainfall fields for hydrological modelling
Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows
A coupled stochastic rainfall–evapotranspiration model for hydrological impact analysis
A virtual hydrological framework for evaluation of stochastic rainfall models
A virtual hydrological framework for evaluation of stochastic rainfall models
Stochastic bias-correction of daily rainfall scenarios for hydrological applications
Rainfall as proxy for evapotranspiration predictions
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multifractal approach
A coupled hydrological and hydrodynamic modelling approach for estimating rainfall thresholds of debris-flow occurrence
Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach
Hydrological effects of evapotranspiration in the Qilian Mountains forest belt
Stochastic rainfall interpolation and downscaling
Disaggregation of spatial rainfall fields for hydrological modelling