Evaluation of two precipitation data sets for the Rhine River using streamflow simulations
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Evaluation of two precipitation data sets for the Rhine River using streamflow simulations ; volume:15 ; number:11 ; year:2011 ; pages:3355-3366
Hydrology and earth system sciences ; 15, Heft 11 (2011), 3355-3366
- Urheber
-
Photiadou, C. S.
Weerts, A. H.
van den Hurk, B. J. J. M.
- DOI
-
10.5194/hess-15-3355-2011
- URN
-
urn:nbn:de:101:1-201711032211
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Photiadou, C. S.
- Weerts, A. H.
- van den Hurk, B. J. J. M.
Ähnliche Objekte (12)
Weekly streamflow forecasting of Rhine river based on machine learning approaches
Uncertainties on mean areal precipitation: assessment and impact on streamflow simulations
Model calibration and streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro 5.2.0
The Rhine river
Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River
Contribution of Potential Evaporation Forecasts to 10-day streamflow forecast skill for the Rhine river
The Rhine River Basin
Seasonal streamflow forecasting by conditioning climatology with precipitation indices
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Disentangling timing and amplitude errors in streamflow simulations
The river Rhine - development and management
Drought decreases streamflow response to precipitation especially in arid regions
Weekly streamflow forecasting of Rhine river based on machine learning approaches
Uncertainties on mean areal precipitation: assessment and impact on streamflow simulations
Model calibration and streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro 5.2.0
The Rhine river
Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River
Contribution of Potential Evaporation Forecasts to 10-day streamflow forecast skill for the Rhine river
The Rhine River Basin
Seasonal streamflow forecasting by conditioning climatology with precipitation indices
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Disentangling timing and amplitude errors in streamflow simulations
The river Rhine - development and management
Drought decreases streamflow response to precipitation especially in arid regions
Weekly streamflow forecasting of Rhine river based on machine learning approaches
Uncertainties on mean areal precipitation: assessment and impact on streamflow simulations
Model calibration and streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro 5.2.0
The Rhine river
Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River
Contribution of Potential Evaporation Forecasts to 10-day streamflow forecast skill for the Rhine river
The Rhine River Basin
Seasonal streamflow forecasting by conditioning climatology with precipitation indices
Deep learning based sub-seasonal precipitation and streamflow forecasting over the source region of the Yangtze River
Disentangling timing and amplitude errors in streamflow simulations
The river Rhine - development and management