A5087293200- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Tropical and Extratropical Cyclones Research
- Soil erosion and sediment transport
- Fish Ecology and Management Studies
- demographic modeling and climate adaptation
- Climate change and permafrost
- Reservoir Engineering and Simulation Methods
University of Reading
2018-2024
European Centre for Medium-Range Weather Forecasts
2023
Abstract Atmospheric rivers (ARs) are now widely known for their association with high‐impact weather events and long‐term water supply in many regions. Researchers within the scientific community have developed numerous methods to identify track of ARs—a necessary step analyses on gridded data sets, objective attribution impacts ARs. These different been answer specific research questions hence use criteria (e.g., geometry, threshold values key variables, time dependence). Furthermore,...
Abstract Atmospheric rivers (ARs) are long, narrow synoptic scale weather features important for Earth’s hydrological cycle typically transporting water vapor poleward, delivering precipitation local climates. Understanding ARs in a warming climate is problematic because the AR response to change tied how feature defined. The River Tracking Method Intercomparison Project (ARTMIP) provides insights into this problem by comparing 16 atmospheric river detection tools (ARDTs) common data set...
A large number of historical simulations and future climate projections are available from Global Climate Models, but these typically coarse resolution, which limits their effectiveness for assessing local scale changes in attendant impacts. Here, we use a novel statistical downscaling model capable replicating extreme events, the Bias Correction Constructed Analogues with Quantile mapping reordering (BCCAQ), to downscale daily precipitation, air-temperature, maximum minimum temperature,...
Abstract. Precipitation is the most important driver of hydrological cycle, but it challenging to estimate over large scales from satellites and models. Here, we assessed performance six global quasi-global high-resolution precipitation datasets (European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5), Climate Hazards group Infrared with Stations 2.0 (CHIRPS), Multi-Source Weighted-Ensemble 2.80 (MSWEP), TerraClimate (TERRA), Prediction Unified 1.0 (CPCU),...
Recent years have seen floods of unprecedented intensity, leading to large loss life, including in Spain (October 2024), Libya (September 2023) and Germany, Belgium, Luxembourg the Netherlands (July 2021). The potential for conventional methods underestimate extreme events was vividly tragically illustrated devastating flooding Ahrtal associated with latter event.As well as intensification rainfall resulting from global heating, anomalous behaviour may result changes hydrological processes,...
Abstract. While this paper has a hydrological focus (a glossary of terms highlighted by asterisks in the text is included Appendix A), concept our decision-making activity will be wider interest and applicable to those involved all aspects geoscience communication. Seasonal forecasts (SHF) provide insight into river groundwater levels that might expected over coming months. This valuable for informing future flood or drought risk water availability, yet studies investigating how SHF are used...
Abstract Atmospheric Rivers (ARs) have been linked to many of the largest recorded UK winter floods. These large‐scale features can be 500–800 km in width but produce markedly different flood responses adjacent catchments. Here we combine meteorological and hydrological data examine why two impermeable catchments on west coast Britain respond differently landfalling ARs. This is important help better understand generation associated with ARs improve forecasting climate‐change impact...
Over 70% of flood events recorded in the past two decades Global Flood Database and WorldFloods dataset have occurred locations where complex channel systems occur. Here we define as parts river network that diverge, such bifurcations, multi-threaded channels, canals deltas. Yet, large scale models have, until now, used only single-threaded networks due to lack a reflects . Therefore, these large-scale fundamentally misrepresent physical processes often highly populated areas, leading...
Climate variability is a significant driver of flood events. However, geomorphological changes in river channels, including variations local and upstream sediment supply, play crucial role determining conveyance capacity stage variations. The interplay between hydrology geomorphology, their relative impact on conveyance, can vary different systems depending both the degree internal channel dynamics nature magnitude external forcings. For example, rates bank erosion, vegetation establishment...
The accurate estimation of bankfull discharge (QBF) plays a central role in multiple disciplines including geomorphology, hydrology, and ecology. For example, is an essential input many large-scale flood models which are widely used understanding risk across large scales. However, the context extremely limited observations, these Global Flood Models (GFMs) typically assume that has spatially uniform recurrence interval, with value 1-2 years adopted. In reality, studies have found highly...
<title>Abstract</title> The maximum amount of water rivers can transport before flooding is known as the bankfull discharge, an essential threshold for flood risk and biogeochemical cycles. Current Global Flood Models rely on untested assumption a spatially-invariant, 2-year recurrence. Here, based observations machine learning, we deliver first global estimation discharge in different climates along new bifurcating river network at ~ 1 km spatial resolution. In contrast to assumption, find...
Braided rivers are often characterised by dynamic behaviour that is driven both internal process-form feedbacks and external variations in water sediment supply. Such can involve river bed aggradation or degradation, significant channel widening narrowing, changes planform morphology (e.g., braid intensity). Moreover, such dynamics have the potential to drive flood conveyance capacity of river, propagate downstream over time. These effects been observed numerous field case studies. However,...
Abstract. Precipitation is the most important driver of hydrological cycle but challenging to estimate over large scales from satellites and models. Here, we assessed performance six global quasi-global high-resolution precipitation datasets (ERA5 reanalysis (ERA5), Climate Hazards group Infrared with Stations version 2.0 (CHIRPS), Multi-Source Weighted-Ensemble 2.80 (MSWEP), TerraClimate (TERRA), Prediction Centre Unified 1.0 (CPCU) Estimation Remotely Sensed Information using Artificial...
A storyline is defined as a physically self-consistent unfolding of past events or plausible possible futures (Shepherd et al., 2018). It has advantages in effective risk communication and adaption, it moves the emphasis away from probability across to plausibility (Butler 2020). Working part EvoFlood (Quantifying Evolution Flood hazard changing world) project, this work presents novel methodology for estimating future hydrology based on not only climatic drivers, but wider impacts dams,...
Abstract. While this paper has a hydrological focus (a glossary is included) the concept of our decision-making activity will be wider interest and applicable to those involved in all aspects geoscience communication. Seasonal forecasts (SHF) provide insight into river groundwater levels that might expected over coming months. This valuable for informing future flood or drought risk water availability, yet studies investigating how SHF are used limited. Our was designed capture different...