A5017201640- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Climate Change Policy and Economics
- Cryospheric studies and observations
- Environmental Impact and Sustainability
- Climate Change and Health Impacts
- Groundwater and Watershed Analysis
- Soil erosion and sediment transport
- Climate Change and Sustainable Development
- Fish Ecology and Management Studies
- Soil and Water Nutrient Dynamics
- Climate Change and Environmental Impact
- Water Quality and Pollution Assessment
- Climate variability and models
- Soil and Land Suitability Analysis
University of Nottingham
2016-2022
Human activities have a profound influence on river discharge, hydrological extremes, and water-26 related hazards.In this study, we compare the results of five state-of-the-art global models 27(GHMs) with observations to examine role human impact parameterizations (HIP) in 28 simulation mean, high, low flows.The analysis is performed for 471 gauging stations across 29 globe period 1971-2010.We find that inclusion HIP improves performance 30 GHMs, both managed near-natural catchments.For...
Global-scale hydrological models are routinely used to assess water scarcity, flood hazards and droughts worldwide. Recent efforts incorporate anthropogenic activities in these have enabled more realistic comparisons with observations. Here we evaluate simulations from an ensemble of six participating the second phase Inter-Sectoral Impact Model Inter-comparison Project (ISIMIP2a). We simulate monthly runoff 40 catchments, spatially distributed across eight global hydrobelts. The performance...
We present one of the first climate change impact assessments on river runoff that utilises an ensemble global hydrological models (Glob-HMs) and catchment-scale (Cat-HMs), across multiple catchments: upper Amazon, Darling, Ganges, Lena, Mississippi, Niger, Rhine Tagus. Relative changes in simulated mean annual (MAR) four indicators high low extreme flows are compared between two ensembles. The median values with three different scenarios global-mean warming (1, 2 3 °C above pre-industrial...
Abstract Importance of evaluation global hydrological models (gHMs) before doing climate impact assessment was underlined in several studies. The main objective this study is to evaluate the performance six gHMs simulating observed discharge for a set 57 large catchments applying common metrics with thresholds monthly and seasonal dynamics summarize them estimating an aggregated index model each basin. One showed good performance, other five weak or poor most basins. In 15 catchments,...
Abstract The hydrological characteristics of a river, including the magnitude and timing high low flows, are important determinants its ecological functioning. Climate change will alter these characteristics, triggering changes in river ecosystems. This study assesses risks 321 major basins across globe due to global warming relative pre‐industrial conditions 1.0, 1.5, 2.0 3.0°C. Risks associated with climate‐driven baseline (1980–2010; 0.6°C warming), investigated using simulations from...
Although global- and catchment-scale hydrological models are often shown to accurately simulate long-term runoff time-series, far less is known about their suitability for capturing extremes, such as droughts. Here we evaluated simulations of droughts from nine catchment scale (CHMs) eight global (GHMs) large catchments: Upper Amazon, Lena, Mississippi, Niger, Rhine, Tagus, Yangtze Yellow. The were conducted within the framework phase 2a Inter-Sectoral Impact Model Intercomparison Project...
This study uses five impact models that describe observed relationships between labour productivity and temperature, with climate model simulations from under a high emissions scenario (RCP8.5), i.e. 25 climate-impact combinations, to assess the of change on outdoor indoor respectively, at national-scale, across Europe. is first assessment use multiple consider potential effects adaptation lowering impacts relative no taking place. Impacts are estimated for end century (2071-2100) near-term...
Abstract Although global- and catchment-scale hydrological models are often shown to accurately simulate long-term runoff time-series, far less is known about their suitability for capturing extremes, such as droughts. Here we evaluated simulations from nine catchment scale (CHMs) eight global (GHMs) large catchments: Upper Amazon, Lena, Mississippi, Niger, Rhine, Tagus, Yangtze Yellow. The were conducted within the framework of phase 2a Inter-Sectoral Impact Model Intercomparison Project...