Evaluating the uncertainty of climate model structure and bias ...

Compared to the previous analysis involving both GCMs and RCMs, the contribution to uncertainty due to the different RCMs is much reduced. The average NSSRCM ...

Results highlight a considerable agreement in projecting a decreasing trend of available water resources (on average, -70 % for snow, -8 % for root zone soil ...

(PDF) Evaluating the uncertainty of climate model structure and bias ...

A sensitivity analysis is used to help verify this procedure. While hydrological model simulations are based on different greenhouse gas ...

Evaluating the uncertainty of climate model structure and bias ...

Evaluating the uncertainty of climate model structure and bias correction on the hydrological impact of projected climate change in a Mediterranean catchment.

Identifying climate model structural inconsistencies allows for tight ...

Aerosol radiative forcing uncertainty affects estimates of climate sensitivity and limits model skill in terms of making climate projections ...

Climate Model Evaluation and Uncertainty - IMSI institute

In addition, coupled climate models are computationally expensive and thus difficult to use for uncertainty analysis, while reduced complexity models are fast ...

Quantifying the Uncertainty Sources of Future Climate Projections ...

Decomposing the uncertainty of global climate models is highly instructive in understanding climate change. However, it remains unclear ...

Uncertainty Quantification in Climate Modeling and Projection in

There have been several extensive studies of the sensitivity of climate models to different (up to 30) uncertain model parameters. These studies ...

Spatial uncertainty in bias corrected climate change projections and ...

It is found that the spatial variability in climate model bias is larger than in the climate change signals. The magnitude of spatial bias seen ...

Understanding Model-Based Uncertainty in Climate Science

This chapter tackles the issue of model-based uncertainty in climate science, focusing on the nature of climate models and the multitude of sources from which ...

Assessment of hydrological parameter uncertainty versus climate ...

Uncertainties in regional climate change projections can be due to choice of emissions scenarios, structure, parameterization, and resolution of climate models, ...

Impact of correcting sub-daily climate model biases for hydrological ...

To overcome this issue, regional climate models (RCMs) have been used to dynamically downscale GCM outputs at a higher spatial and temporal ...

Full article: Assessment of the uncertainties of global climate models ...

In this study, GCM outputs without any correction consist of biases because most models have overestimated the rainfall before bias correction. Therefore, the ...

Climate Model Biases and Modification of the ... - AMS Journals

2015) suggests that temperature and precipitation biases of climate models are well approximated as being dependent only on the magnitude of the simulated/ ...

Evaluation of Climate Models - IPCC

not explore structural uncertainty, and thus the estimated uncertainty ... This tendency is opposed by the effects of structural biases related ... bias in the Kiel ...

Performance Evaluation of Bias Correction Methods for Climate ...

Results show that considerable biases exist between uncorrected GCM-RCM outputs and observations, which largely depend on GCM-RCM pair, seasonality, climatic ...

Regional climate models and bias correction methods for rainfall ...

... uncertainties in regional hydrological climate change studies. As a result, checking the accuracy of climate model simulations and applying bias ...

Effects of multi-observations uncertainty and models similarity on ...

Climate change projections (CCPs) are based on the multimodel means of individual climate model simulations that are assumed to be ...

Bias Correcting Climate Change Simulations - a Critical Review

Whereas impact models typically require high resolution unbiased input data, global and regional climate models are in general biased, their ...

Evaluating the impact of rainfall–runoff model structural uncertainty ...

Climate models offer tools for reproducing and anticipating climate. General circulation models (GCMs) are the principal tools used to create ...