A5006596509- Climate variability and models
- Meteorological Phenomena and Simulations
- Climate change and permafrost
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
- Water resources management and optimization
- Hydrology and Drought Analysis
- Water-Energy-Food Nexus Studies
- Atmospheric and Environmental Gas Dynamics
- Recycling and Waste Management Techniques
- Climate change impacts on agriculture
- Sustainable Industrial Ecology
- Probabilistic and Robust Engineering Design
- Electric Power System Optimization
- biodegradable polymer synthesis and properties
- Environmental Impact and Sustainability
- Extraction and Separation Processes
- Microplastics and Plastic Pollution
- Water Systems and Optimization
University of Regina
2018-2024
Abstract It is well known that the choices of physical schemes in Regional Climate Models (RCMs) can cause considerable uncertainties future climate projections. In this study, a factorial sensitivity analysis method has been proposed to screen out statistically significant and interactions, which assists selecting optimized scheme combination from long‐term perspective with affordable computational costs. The Model (RegCM) used as an example illustrate how approach works. detail, all are...
Abstract The spatial extent of the Sahara (the largest nonpolar desert) has significant impacts on livelihood people residing in its surrounding areas. Despite fact that climate change would foreseeably impact location and size desert, future responses (i.e., advance or retreat) are rarely explored previous studies. Here, through development an ensemble Bayesian discriminant analysis approach, we use 10 latest high-resolution GCM (global model) simulations to document robust annual seasonal...
Abstract Attributing intensification extreme precipitation to anthropogenic factors on the regional scale is challenging, given large fluctuations and complexity of quantifying interactions among these factors. Here, we propose a new variance‐based method investigate roles human‐induced greenhouse gas (GHG), aerosol (AER), their (GA) in shaping Qinghai‐Tibet Plateau (QTP) at stational scale. In terms contribution, GHG has greatest impact total wet‐day simple daily intensity. significance,...
The global water cycle is becoming more intense in a warming climate, leading to extreme rainstorms and floods. In addition, the delicate balance of precipitation, evapotranspiration, runoff affects variations soil moisture, which vital importance agriculture. A systematic examination climate change impacts on these variables may help provide scientific foundations for design relevant adaptation mitigation measures. this study, long-term over China are explored using Regional Climate Model...
Abstract The choices of physical schemes coupled in the Regional Climate Model version 4 (RegCM4), input general circulation model (GCM) results, and emission scenarios may cause considerable uncertainties future temperature projections. Therefore, ensemble approach, which can be used to reflect these uncertainties, is highly desired. In this study, probabilistic projections for are generated at 88 Canadian climate stations based on developed RegCM4 obtained Bayesian averaging (BMA) weights....
Abstract The Bayesian model averaging (BMA) method has been widely used for generating probabilistic climate projections. However, the weights in BMA can only reflect spatially‐ and temporally‐averaged performance of each ensemble member, without ability to address spatiotemporal variations biases. This lead inevitable exaggeration or understatement contributions individual members mean, thus reducing robustness resulting Here we propose a new help neglected Through proposed method, are as...