A5018192204- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Climate variability and models
- Aquatic Ecosystems and Phytoplankton Dynamics
- Flood Risk Assessment and Management
- Aquatic and Environmental Studies
- Water resources management and optimization
- Team Dynamics and Performance
- Marine Biology and Ecology Research
- Peatlands and Wetlands Ecology
- Marine and environmental studies
- Marine and coastal ecosystems
- Conferences and Exhibitions Management
- Aquatic Ecosystems and Biodiversity
- Data Analysis with R
- Species Distribution and Climate Change
- Research Data Management Practices
- Scientific Computing and Data Management
Helmholtz Centre for Environmental Research
2021-2024
Seasonal climate forecasts produce probabilistic predictions of meteorological variables for subsequent months. This provides a potential resource to predict the influence seasonal anomalies on surface water balance in catchments and hydro-thermodynamics related bodies (e.g., lakes or reservoirs). Obtaining impact discharge temperature) requires link between models simulating hydrology lake hydrodynamics thermal regimes. However, this remains challenging stakeholders scientific community,...
Abstract. Advance warning of seasonal conditions has the potential to assist water management in planning and risk mitigation, with large social, economic, ecological benefits. In this study, we explore value forecasting for decision-making at five case study sites located extratropical regions. The tools used integrate climate model forecasts freshwater impact models catchment hydrology, lake (temperature, level, chemistry, ecology), fish migration timing were co-developed together...
Abstract. Despite high potential benefits, the development of seasonal forecasting tools in water sector has been slower than other sectors. Here we assess skill for lakes and reservoirs set up at four sites Australia Europe. These consist coupled hydrological catchment lake models forced with meteorological forecast ensembles to provide probabilistic predictions anomalies discharge, temperature ice-off. Successful implementation requires a rigorous assessment tools' predictive an...
Abstract Global warming is shifting the thermal dynamics of lakes, with resulting climatic variability heavily affecting their mixing dynamics. We present a dual ensemble workflow coupling climate models lake models. used large set simulations across multiple domains, multi‐scenario, and multi GCM‐ RCM combinations from CORDEX data. forced hydrodynamic by these to explore change impacts on lakes. also quantified contributions different overall uncertainty. employed this investigate effects...
Abstract For many, 2020 was a year of abrupt professional and personal change. the aquatic sciences community, many were adapting to virtual formats for conducting sharing science, while simultaneously learning live in socially distanced world. Understandably, community postponed or canceled most in‐person scientific meetings. Still, communities either transitioned annual meetings format inaugurated new Fortunately, increased use video conferencing platforms, networking communication...
Abstract Dissolved oxygen plays a central role for all organisms dwelling in water. However, the flux of by ebullition has not received much attention environmental science. For better quantitative understanding due to ebullition, we conducted series laboratory experiments, where forced macrophytes produce photosynthetic gas bubbles. Raising CO 2 concentration water greatly increased bubble formation. Depth was varied compare results with theoretically predicted composition bubbles forming...
Lake Sevan is the largest freshwater body in Caucasus region, situated at an altitude of 1,900 m asl. While it a major water resource whole has received little attention international limnological literature. Although recent studies pointed to algal blooms and negative impacts climate change eutrophication, physical controls on thermal dynamics have not been characterized model-based assessments are lacking. We compiled decade historical data for meteorological conditions temperature used...
We studied the quantitative composition, spatial distribution, and temporal dynamics of zooplankton community alpine Lake Sevan, Armenia, largest surface water in Caucasus region. This article is providing a long-term information fills research gap multiyear data on zooplankton, as previous provided only snapshots community, consistent assessment over multiple years was missing. However, an initial mini-review historical studies indicated that biomass fish abundance were undergoing large...
Abstract. Advance warning of seasonal conditions has potential to assist water management in planning and risk mitigation, with large social, economic ecological benefits. In this study, we explore the value forecasting for decision making at five case study sites located extratropical regions. The tools used integrate climate model forecasts freshwater impact models catchment hydrology, lake (temperature, level, chemistry ecology) fish migration timing, were co-developed together...
Abstract. Despite high potential benefits, the development of seasonal forecasting tools in water sector has been slower than other sectors. Here we assess skill for lake and reservoir set up at four sites Australia Europe. These tools, as previously presented, consist coupled hydrological catchment models forced with climate forecast ensembles to provide probabilistic predictions anomalies discharge, temperature ice-off. Successful implementation requires a rigorous assessment tools’...