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[PDF] Top 20 Precipitation forecasts and their uncertainty as input into hydrological models

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Precipitation forecasts and their uncertainty as input into hydrological models

Precipitation forecasts and their uncertainty as input into hydrological models

... Slovenian hydrological forecasting service, regression models have been developed and used for predicting the peaks of flood waves (Sušnik and Polajnar, ...The input to these models is usually ... See full document

11

The effect of input data resolution and complexity  on the uncertainty of hydrological predictions in  a humid vegetated watershed

The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed

... Abstract. Uncertainty in hydrological modeling is of signif- icant concern due to its effects on prediction and subsequent application in watershed ...tributed hydrological models, model ... See full document

19

Systematic Uncertainty Reduction Strategies for Developing Streamflow Forecasts Utilizing Multiple Climate Models and Hydrologic Models.

Systematic Uncertainty Reduction Strategies for Developing Streamflow Forecasts Utilizing Multiple Climate Models and Hydrologic Models.

... no hydrological model uncertainty, reducing input uncertainty by using MM-P strategy performs better than reducing output by using MM-Q regardless of whether the precipitation ... See full document

52

Concept of dealing with uncertainty in radar-based data for hydrological purpose

Concept of dealing with uncertainty in radar-based data for hydrological purpose

... NIMROD system is UK Met Office software to process radar data using other measurement sources and then to pro- duce analyses and forecasts of precipitation (Weipert and Pierce, 2003). The radar data used as ... See full document

13

Assessment of precipitation error propagation in multi model global water resource reanalysis

Assessment of precipitation error propagation in multi model global water resource reanalysis

... of precipitation uncertainty propagation and its dependence on model structure and hydrologic ...different precipitation forcing datasets based on (i) reanalysis, (ii) satellite estimates, and (iii) ... See full document

22

Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts

Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts

... meteorological forecasts as input to a hydrological ...as input to a hydrological model whose states were initialized for the time of the ...seasonal forecasts from regional ... See full document

18

An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 2: The added value from climate forecast models

An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 2: The added value from climate forecast models

... The precipitation and temperature forecasts with 99 NMME ensemble members are downscaled and used to drive the VIC land surface hydrological model to provide seasonal hy- drological ...the ... See full document

14

Flood Forecasting in Brutanga River– A Case Study of Hilly Region, India

Flood Forecasting in Brutanga River– A Case Study of Hilly Region, India

... quantitative precipitation forecasts 113 square grid of 10 · 10 km – connected by channels, with vegetation and land use within each element categorized into one or more classes, the number of vegetation ... See full document

9

The importance of hydrological uncertainty assessment methods in climate change impact studies

The importance of hydrological uncertainty assessment methods in climate change impact studies

... intrinsic uncertainty of their inputs: future emission scenarios are represented by a hand- ful of representative story-lines managed by the IPCC, the translation of emissions and projected radiative forcing into ... See full document

17

Performance of ensemble streamflow forecasts under varied hydrometeorological conditions

Performance of ensemble streamflow forecasts under varied hydrometeorological conditions

... of uncertainty sources in the forecasts is essential to improving the forecasts effectively (Yossef et ...meteorological forecasts and the hydrological model contribute to errors in ... See full document

19

Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models

Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models

... the hydrological cycle from global hydrological models (GHMs) driven by global climate models (GCMs) are critical for understanding future occurrence of hydrological ...to ... See full document

19

Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models

Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models

... simulated hydrological extreme uncertainty related to the internal variability of the atmosphere (“climate noise”), which is inherent to the climate system and consid- ered as the lowest level of ... See full document

5

Uncertainty analysis of hydrological ensemble forecasts in a  distributed model utilising short range rainfall prediction

Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short range rainfall prediction

... rainfall forecasts along with many other data fields at increasingly higher spatial ...considerable uncertainty to the final river flow forecasts as the uncertainties inherent in the NWP are ... See full document

11

Potential application of hydrological ensemble  prediction in forecasting floods and its components  over the Yarlung Zangbo River basin, China

Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China

... of hydrological en- semble prediction in forecasting flood volume and its com- ponents over the Yarlung Zangbo River (YZR) basin, China, has not been ...on precipitation and the maximum and minimum ... See full document

18

Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows

Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows

... with hydrological modeling for poorly observed basins considering change and taking into account flood protection ...regarding precipitation input, discharge output and consequently the calibration ... See full document

13

HESS Opinions "Forecaster priorities for improving probabilistic flood forecasts"

HESS Opinions "Forecaster priorities for improving probabilistic flood forecasts"

... multi-model hydrological system would to a large ex- tent improve the skill and potentially benefit the decision making (Velásquez et ...the uncertainty in the predic- tions, and thus the decisions would ... See full document

11

Uncertainty Analysis of a Temperature-Index Snowmelt Model Using Bayesian Networks

Uncertainty Analysis of a Temperature-Index Snowmelt Model Using Bayesian Networks

... Generally speaking, taking into consideration the uncertainties from different sources (inputs, model parameters, model structure etc.), will certainly improve the reliability of the outcomes (forecasts) giving by ... See full document

11

Remote sensing based evaluation of uncertainties on modelling of streamflow affected by climate change

Remote sensing based evaluation of uncertainties on modelling of streamflow affected by climate change

... important input of water in the hydrological cycle; hence, accurate and reliable precipitation information is therefore necessary to ensure better water resources management and ...the ... See full document

77

Tracking the uncertainty in streamflow prediction through a
hydrological forecasting system

Tracking the uncertainty in streamflow prediction through a hydrological forecasting system

... To implement a hydrological forecasting model, it is thus necessary to provide the input meteorological data (precipitation, temperature, etc.) for flow simulation and weather forecast ... See full document

74

Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments

Streamflow forecast sensitivity to air temperature forecast calibration for 139 Norwegian catchments

... ensemble forecasts as input to hydrological models to quantify the un- certainty in forecasted streamflow, with a particular focus on the effect of temperature forecast calibration on the ... See full document

17

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