Chuanhao Wu

Area of research

Global and Planetary Change · Water Science and Technology

Research interest

Research topics from publications: Effects of climate and terrestrial storage on temporal variability of actual evapotranspiration; Responses of runoff to historical and future climate variability over China; Quantifying the Uncertainty of the Future Hydrological Impacts of Climate Change: Comparative Analysis of an Advanced Hierarchical Sensitivity in Humid and Semiarid Basins; Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed; Hierarchical Sensitivity Analysis for Large Scale Process-basedHydrological Modeling with Application in an AmazonianWatershed; Hierarchical Sensitivity Analysis for Large-scale Process-based Hydrological Modeling with Application in an Amazonian Watershed; Quantifying the Uncertainty of the Future Hydrological Impacts of Climate Change: an Advanced Hierarchical Sensitivity Analysis in a Humid Subtropical Basin, China. Representative work: Abstract. China has suffered some of the effects of global warming, and one of the potential implications of climate warming is the alteration of the temporal–spatial patterns of water resources. Based on the long-term (1960–2008) water budget data and climate projections from 28 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5), this study investigated the responses of runoff (R) to historical and future climate variability in China at both grid and catchment scales using the Budyko-based elasticity method. Results show that there is a large spatial variation in precipitation (P) elasticity (from 1.1 to 3.2) and potential evaporation (PET) elasticity Abstract Comparison and quantification of different uncertainties of future climate change involved in the modeling of a hydrological system are highly important for both hydrological modelers and policy-makers. However, few studies have accurately estimated the relative importance of different sources of uncertainty at different spatiotemporal scales. Here, a hierarchical sensitivity analysis framework (HSAF) incorporated with a variance-based global sensitivity analysis is developed to quantify the spatiotemporal contributions of different uncertainties in hydrological impacts of climate change in two different climatic (humid and semiarid) basins in China. The uncertainty sources include

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