A5022724478- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Climate variability and models
- Hydrology and Drought Analysis
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Climate Change Communication and Perception
- Geophysics and Gravity Measurements
- Reservoir Engineering and Simulation Methods
- Water resources management and optimization
- Discourse Analysis in Language Studies
- Environmental Monitoring and Data Management
- Scientific Computing and Data Management
- Advanced Computational Techniques and Applications
- Clinical Nutrition and Gastroenterology
- Environmental DNA in Biodiversity Studies
- Tropical and Extratropical Cyclones Research
- Methane Hydrates and Related Phenomena
- Environmental Education and Sustainability
- Conservation Techniques and Studies
- Earthquake Detection and Analysis
- Interdisciplinary Research and Collaboration
University of Saskatchewan
2021-2024
Ouranos
2024
Canmore Museum and Geoscience Centre
2021-2024
European Centre for Medium-Range Weather Forecasts
2015-2020
University of Reading
2016-2020
Abstract. This paper considers whether there is any added value in using seasonal climate forecasts instead of historical meteorological observations for forecasting streamflow on timescales over Europe. A Europe-wide analysis the skill newly operational EFAS (European Flood Awareness System) (produced by forcing Lisflood model with ECMWF System 4 forecasts), benchmarked against ensemble prediction (ESP) approach observations), undertaken. The results suggest that, average, improve...
Abstract. Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land, hydrology, Earth system into final prediction product. They are recognized promising way enhancing the skill meteorological variables events, including rainfall, temperature, streamflow, floods, droughts, tropical cyclones, atmospheric...
Abstract. Global overviews of upcoming flood and drought events are key for many applications, including disaster risk reduction initiatives. Seasonal forecasts designed to provide early indications such weeks or even months in advance, but seasonal hydrological variables at large global scales few far between. Here, we present the first operational global-scale hydro-meteorological forecasting system: GloFAS-Seasonal. Developed as an extension Flood Awareness System (GloFAS),...
Abstract. In situ measurements of water equivalent snow cover (SWE) – the vertical depth that would be obtained if all melted completely are used in many applications including management, flood forecasting, climate monitoring, and evaluation hydrological land surface models. The Canadian historical SWE dataset (CanSWE) combines manual automated pan-Canadian observations collected by national, provincial territorial agencies as well hydropower companies. Snow (SD) bulk density (defined ratio...
Abstract Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent development probabilistic large‐domain meteorological data sets enables convenient characterization, which however rarely explored research. This study analyzes how uncertainties affect modeling 289 representative cryosphere basins by the Structure for Unifying Multiple Modeling Alternatives (SUMMA) and mizuRoute models with precipitation air temperature ensembles from Ensemble Data set...
Abstract The unprecedented progress in ensemble hydro‐meteorological modelling and forecasting on a range of temporal spatial scales, raises variety new challenges which formed the theme Joint Virtual Workshop, ‘Connecting global to local hydrological forecasting: scientific advances’. Held from 29 June 1 July 2021, this workshop was co‐organised by European Centre for Medium‐Range Weather Forecasts (ECMWF), Copernicus Emergency Management (CEMS) Climate Change (C3S) Services, Hydrological...
Abstract. Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecast uncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for forecaster user of forecasts. Many authors demonstrated (economic) probabilistic deterministic across water sector (e.g. flood protection, hydroelectric power management navigation). However, richness information also source challenges operational uses, due...
IMproving PRedictions and management of hydrological EXtremes (IMPREX) was a European Union Horizon 2020 project that ran from September 2015 to 2019. IMPREX aimed improve society’s ability anticipate respond future extreme events in Europe across variety uses the water-related sectors (flood forecasting, drought risk assessment, agriculture, navigation, hydropower water supply utilities). Through engagement with stakeholders continuous feedback between model outputs applications, progress...
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. Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land, hydrology Earth system into final prediction product. They are recognised promising way enhancing skill meteorological variables events, including rainfall, temperature, streamflow, floods, droughts, tropical cyclones, atmospheric...
Abstract Seasonal streamflow prediction skill can derive from catchment initial hydrological conditions (IHCs) and the future seasonal climate forecasts (SCFs) used to produce forecasts. Although much effort has gone into producing state-of-the-art improving IHCs SCFs, these developments are expensive time consuming forecasting is still limited in most parts of world. Hence, sensitivity analyses crucial funnel resources useful modeling developments. It this context that a analysis technique,...
Water is essential for life. Water-related challenges, such as droughts, floods, water quality degradation, permafrost thaw and glacier melt, exacerbated by climate change, affect everyone. It challenging, yet of critical importance, to communicate science on difficult highly volatile topics. Art a more approachable medium traditional scientific outlets, with the potential diversify voices at table lead wholistic solutions these complex challenges. Launched in 2020, Virtual Gallery...
Abstract. By showing the uncertainty surrounding a prediction, probabilistic forecasts can give an earlier indication of potential upcoming floods, increasing amount time available to prepare. However, making decision based on information is challenging. As part UK-wide policy's move towards forecast-based flood risk management, Environment Agency (EA), responsible for managing risks flooding in England, transitioning use fluvial early warning. While science and decision-making are both...
Abstract. In situ measurements of snow water equivalent (SWE) – the depth that would be produced if all melted are used in many applications including management, flood forecasting, climate monitoring, and evaluation hydrological land surface models. The Canadian historical SWE dataset (CanSWE) combines manual automated pan-Canadian observations collected by national, provincial territorial agencies as well hydropower companies. Snow derived bulk density also included when available. This...
Abstract Operational flood forecasting in Canada is a provincial responsibility that carried out by several entities across the country. However, increasing costs and impacts of floods require better nationally coordinated prediction systems. A more coherent framework for can enable implementing advanced capabilities different with forecasting. Recently, Canadian meteorological hydrological services were tasked to develop national flow guidance system. Alongside this initiative, Global Water...
Abstract. Science communication is an important part of research, including in the geosciences, as it can benefit society, science, and make science more publicly accountable. However, much this work takes place “shadowlands” that are neither fully seen nor understood. These shadowlands spaces, aspects, practices which not clearly defined may be harmful with respect to being communicated or for communicators themselves. With increasing expectation academia researchers should participate...
Abstract The Thames basin experienced 12 major Atlantic depressions in winter 2013/14, leading to extensive and prolonged fluvial groundwater flooding. This exceptional weather coincided with highly anomalous meteorological conditions across the globe. Atmospheric relaxation experiments, whereby within specified regions are relaxed toward a reanalysis, have been used investigate teleconnection patterns. However, no studies examined whether improvements seasonal forecasts translate into more...
Abstract. The inclusion of uncertainty in flood forecasts is a recent, important yet challenging endeavour. In the chaotic and far from certain world we live in, probabilistic estimates potential future floods are vital. By showing surrounding prediction, can give an earlier indication floods, increasing amount time have to prepare. practice, making binary decision based on information challenging. Environment Agency (EA), responsible for managing risks flooding England, process transition...
<p>Many sectors, such as hydropower, agriculture, water supply and waterway transport, need information about the possible evolution of meteorological hydrological conditions in next weeks months to optimize their decision processes on a long term. With increasing availability seasonal forecasts, forecasting systems have been developed all over world last years. Many them are running operational mode. On European scale Flood Awareness System EFAS SMHI operationally providing...
Abstract. This paper presents a Europe-wide analysis of the skill newly operational EFAS (European Flood Awareness System) seasonal streamflow forecasts, benchmarked against Ensemble Streamflow Prediction (ESP) forecasting approach. The results suggest that, on average, System 4 climate forecasts improve predictability over historical meteorological observations for first month lead time only. However, varies in space and is greater winter autumn. Parts Europe additionally exhibit longer...