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RISTemporal and Spatial Amplification of Extreme Rainfall and Extreme Floods in a Warmer Climate
Publisher: American Meteorological Society
Determining the Optimal Spatial Distribution of Weather Station Networks for Hydrological Modeling Purposes Using RCM Datasets: An Experimental Approach
Publisher: American Meteorological Society
Abstract: n many hydrological studies, the main limiting factor in model performance is the low meteorological data quality. In some cases, no meteorological records even exist. Installing weather stations becomes a necessity in ...
Stochastic Multisite Generation of Daily Precipitation Data Using Spatial Autocorrelation
Publisher: American Meteorological Society
Abstract: There are a number of stochastic models that simulate weather data required for various water resources applications in hydrology, agriculture, ecosystem, and climate change studies. However, many of them ignore the ...
Postprocessing of Ensemble Weather Forecasts Using a Stochastic Weather Generator
Publisher: American Meteorological Society
Abstract: his study proposes a new statistical method for postprocessing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both ...
Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies
Publisher: American Meteorological Society
Evaluating the Time-Invariance Hypothesis of Climate Model Bias Correction: Implications for Hydrological Impact Studies
Publisher: American Meteorological Society
Abstract: he bias correction of climate model outputs is based on the main assumption of the time invariance of the bias, in which the statistical relationship between observations and climate model outputs in the historical period ...
The Use of Reanalyses and Gridded Observations as Weather Input Data for a Hydrological Model: Comparison of Performances of Simulated River Flows Based on the Density of Weather Stations
Publisher: American Meteorological Society
Abstract: recipitation forcing is critical for hydrological modeling as it has a strong impact on the accuracy of simulated river flows. In general, precipitation data used in hydrological modeling are provided by weather stations. ...
Uncertainty of Hydrological Model Components in Climate Change Studies over Two Nordic Quebec Catchments
Publisher: American Meteorological Society
Abstract: AbstractProjected climate change effects on hydrology are investigated for the 2041?60 horizon under the A2 emission scenarios using a multimodel approach over two snowmelt-dominated catchments in Canada. An ensemble of ...
Role of Natural Climate Variability in the Detection of Anthropogenic Climate Change Signal for Mean and Extreme Precipitation at Local and Regional Scales
Publisher: American Meteorological Society
Abstract: AbstractClimate change will impact both mean and extreme precipitation, having potentially significant consequences on water resources. The implementation of efficient adaptation measures must rely on the development of ...
Using Natural Variability as a Baseline to Evaluate the Performance of Bias Correction Methods in Hydrological Climate Change Impact Studies
Publisher: American Meteorological Society
Abstract: ostprocessing of climate model outputs is usually performed to remove biases prior to performing climate change impact studies. The evaluation of the performance of bias correction methods is routinely done by comparing ...