[PDF] Top 20 Tracking the uncertainty in streamflow prediction through a hydrological forecasting system
Has 10000 "Tracking the uncertainty in streamflow prediction through a hydrological forecasting system" found on our website. Below are the top 20 most common "Tracking the uncertainty in streamflow prediction through a hydrological forecasting system".
Tracking the uncertainty in streamflow prediction through a hydrological forecasting system
... Parameterization uncertainty comes from the fact that different parameter sets can represent equally the behaviour of the modelled ...parameterization uncertainty, the Generalized Likelihood ... See full document
74
On the sources of hydrological prediction uncertainty in the Amazon
... of hydrological forecast systems using process based models for this ...in hydrological forecast systems may guide the choice on improving model structure, model forcings or developing data assimilation ... See full document
11
Evaluation of numerical weather prediction model precipitation forecasts for short term streamflow forecasting purpose
... forecast uncertainty that use only the native resolution data may un- necessarily conclude that the NWP forecasts contain no ...for streamflow forecast- ing contain a subset of the full station network ... See full document
19
Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales)
... deterministic forecasting to probability forecasting constitutes an improve- ment to flood warning ...all, hydrological forecasts are inherently ...Deterministic forecasting does not ... See full document
11
Assessment of an ensemble seasonal streamflow forecasting system for Australia
... overall streamflow forecast skill, we compare our base case to ESP- like forecasts (extended streamflow ...initialized hydrological model (Day, ...FoGSS hydrological error model. By comparing ... See full document
24
Assessment of an ensemble seasonal streamflow forecasting system for Australia
... overall streamflow forecast skill, we compare our base case to ESP- like forecasts (extended streamflow ...initialized hydrological model (Day, ...FoGSS hydrological error model. By comparing ... See full document
24
A meteo-hydrological prediction system based on a multi-model approach for precipitation forecasting
... The hourly cumulated rainfall, shown in Fig. 5b, allowed a more detailed intercomparison among the rainfall predictions and the observations. During the first phase, on 7 November, all the members of the ensemble ... See full document
17
Accounting for three sources of uncertainty in ensemble hydrological forecasting
... time. System A, which is deter- ministic, undoubtedly performs worse for every lead ...to system A but with a lower decrease of accuracy with lead time. System C may be considered as competitive for ... See full document
17
An evaluation of the Canadian global meteorological ensemble prediction system for short term hydrological forecasting
... ensemble prediction system, which has been operational since ...improved system is used for the first time for hydro- logical ensemble ...the hydrological ensemble forecasts are under ... See full document
11
Skill of a global forecasting system in seasonal ensemble streamflow prediction
... global hydrological forecasting sys- tem Flood Early Warning System (FEWS)-World, which has been set up within the European Commission 7th Frame- work Programme Project Global Water Scarcity ... See full document
12
Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate
... long forecasting horizons, the simplest type of en- semble forecasts is the climatology of streamflow, either ob- served or simulated, hereafter called “historical streamflow prediction” ... See full document
16
Concept of dealing with uncertainty in radar-based data for hydrological purpose
... The methodology of dealing with radar precipitation un- certainty can be based on a concept of quality index (QI) field which is a measure for data quality. Various schemes for creating such a QI field for precipitation ... See full document
13
Projecting future climate change effects on the extreme hydrological drought events in the Weihe River basin, China
... on hydrological droughts largely rely on the projected streamflow under future climate ...future streamflow, a modelling chain is usually adopted, which includes emission scenarios, climate models ... See full document
6
Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China
... In this study, the SWAT model was firstly set up with avail- able DEM (digital elevation model), land use, soil, and ob- served climate data, and then model parameters were cali- brated with the observed ... See full document
13
Using Ensemble Streamflow Predictions for extreme discharge purposes in the river Rhine
... discharge values!). The assumption that these stream flows are highly correlated seems valid therefore. However, the correlation does not tell anything about the absolute differences between two streamflow ... See full document
84
Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments
... pristine, although some do have minor (hydropower) reg- ulations. Fourteen catchments have a glacier coverage of 5 % or more. Of the 145 flood-forecasting catchments, 139 were chosen as the basis for the study ... See full document
17
Assessment of precipitation error propagation in multi model global water resource reanalysis
... The SURFEX modeling system of Météo-France (SURFace Externalisée; Masson et al., 2013) includes the ISBA (in- teractions between soil–biosphere–atmosphere; Noilhan and Mahfouf, 1996) LSM that can be fully coupled ... See full document
22
Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation
... The SNOW-17 model is used operationally within the NWS- RFS and is the snow model used in operational ESP fore- casts. SNOW-17 is a temperature index model that estimates simplified vertical snow processes (Anderson, ... See full document
12
Uncertainty in hydrological signatures
... main uncertainty sources: point measurement uncertainty, spatial interpolation uncer- tainty and equipment malfunction uncertainty ...Point uncertainty includes random er- rors such as ... See full document
18
Parametric uncertainty or hydrological changes?
... At the same time, focusing the attention on the a posteriori parameters distribution, some modifications over time could occur. The a posteriori parameter distributions “rehashing” (computable in terms of moments of ... See full document
6
Related subjects