Generalizing uncertainty decomposition theory in climate change impact assessments

Managing Uncertainty in Climate Change Projections – Issues for Impact Assessment

Climate change projection is the term the IPCC Second Assessment Report (SAR) uses for model estimates of future climate. In that report, projections are presented in two forms: as single model scenarios and as projected ranges of uncertainty. In climate studies, scenarios are commonly regarded as being plausible, but have no further probability attached. Projected ranges of uncertainty can hav...

Quantifying uncertainty in climate change science through empirical information theory.

Quantifying the uncertainty for the present climate and the predictions of climate change in the suite of imperfect Atmosphere Ocean Science (AOS) computer models is a central issue in climate change science. Here, a systematic approach to these issues with firm mathematical underpinning is developed through empirical information theory. An information metric to quantify AOS model errors in the...

Uncertainty Investigation of Precipitation and Temperature Scenarios for the Sira Basin under Climate Change Impact

Results of assessment of the future climate change impacts is associated with some uncertainties. Considering the range of uncertainties increases reliability of the results. In this study, climate change impacts on daily precipitation, maximum and minimum temperature of Sira basin are assessed using LARS-WG model, for 2036-65 period. Accordingly, uncertainty of new emissions scenarios (RCP2.6،...

Essays on the Quantification and Propagation of Uncertainty in Climate Change Impact Assessments for Water Resource Systems

Climate change impact assessment: Uncertainty modeling with imprecise probability

[1] Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Model (GCM) output of large-scale climate variables to local-scale hydrologic variables. Such an assessment is characterized by uncertainty resulting from the ensembles of projections generated with multiple GCMs, which is known as intermodel or GCM uncertainty. Ensemble averaging with the assig...