Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting ; volume:17 ; number:9 ; year:2013 ; pages:3587-3603
Hydrology and earth system sciences ; 17, Heft 9 (2013), 3587-3603
- Urheber
-
Robertson, D. E.
Shrestha, D. L.
Wang, Q. J.
- DOI
-
10.5194/hess-17-3587-2013
- URN
-
urn:nbn:de:101:1-2017110414768
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 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
- Robertson, D. E.
- Shrestha, D. L.
- Wang, Q. J.
Ähnliche Objekte (12)
Evaluating residual error approaches for post-processing monthly and seasonal streamflow forecasts
Statistical Postprocessing of Numerical Weather Prediction Forecasts using Machine Learning
Verification and post-processing of ensemble weather forecasts for renewable energy applications
Rainfall forecasts, weather and wages over the agricultural production cycle
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall–runoff regime
Postprocessing ensemble forecasts of vertical temperature profiles
Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: effect of preprocessing and postprocessing on skill and statistical consistency
The benefits of pre- and postprocessing streamflow forecasts for an operational flood-forecasting system of 119 Norwegian catchments
Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling
Evaluating residual error approaches for post-processing monthly and seasonal streamflow forecasts
Statistical Postprocessing of Numerical Weather Prediction Forecasts using Machine Learning
Verification and post-processing of ensemble weather forecasts for renewable energy applications
Rainfall forecasts, weather and wages over the agricultural production cycle
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall–runoff regime
Postprocessing ensemble forecasts of vertical temperature profiles
Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: effect of preprocessing and postprocessing on skill and statistical consistency
The benefits of pre- and postprocessing streamflow forecasts for an operational flood-forecasting system of 119 Norwegian catchments
Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling
Evaluating residual error approaches for post-processing monthly and seasonal streamflow forecasts
Statistical Postprocessing of Numerical Weather Prediction Forecasts using Machine Learning
Verification and post-processing of ensemble weather forecasts for renewable energy applications
Rainfall forecasts, weather and wages over the agricultural production cycle
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Physically coherent probabilistic weather forecasts using multivariate discrete copula-based ensemble postprocessing methods
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall–runoff regime
Postprocessing ensemble forecasts of vertical temperature profiles
Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: effect of preprocessing and postprocessing on skill and statistical consistency
The benefits of pre- and postprocessing streamflow forecasts for an operational flood-forecasting system of 119 Norwegian catchments