M
Marika Koukoula
Researcher at University of Connecticut
Publications - 21
Citations - 241
Marika Koukoula is an academic researcher from University of Connecticut. The author has contributed to research in topics: Environmental science & Weather Research and Forecasting Model. The author has an hindex of 5, co-authored 16 publications receiving 103 citations. Previous affiliations of Marika Koukoula include National and Kapodistrian University of Athens.
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Journal ArticleDOI
Assessing the European offshore wind and wave energy resource for combined exploitation
Christina Kalogeri,George Galanis,George Galanis,Christos Spyrou,Dimitris Diamantis,Foteini Baladima,Marika Koukoula,George Kallos +7 more
TL;DR: In this article, the most suitable areas for combined exploitation were identified and the possible merits from this synergy were pin-pointed and discussed, based on the results of this analysis, and it was indicated that these most suitable area for combined use are the western offshore areas of Europe.
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Outage prediction models for snow and ice storms
TL;DR: In this article, the authors describe the development of two Outage Prediction Models (OPMs) for power outages caused by snow and ice storms on electric distribution networks, and their performance evaluation in the Northeastern United States.
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Enhancing Weather-Related Power Outage Prediction by Event Severity Classification
TL;DR: A novel method called “Conditioned OPM” is introduced that divides an OPM training dataset into subsets of events representative of the predicted event’s severity by calculating the quantile weight distance (QWD) between severe weather-related events in the dataset and the predictedevent.
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Impact of compound flood event on coastal critical infrastructures considering current and future climate
Mariam Khanam,Giulia Sofia,Marika Koukoula,R. Lazin,Efthymios I. Nikolopoulos,Xinyi Shen,Emmanouil N. Anagnostou +6 more
TL;DR: In this article, the authors presented case studies of compound flood hazards affecting critical infrastructure (CI) in coastal Connecticut (USA) and used the Hydrologic Engineering Center's River Analysis System (HEC-RAS) to simulate the combined coastal and riverine flooding of selected CI sites.
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Evaluation of the Hyper-Resolution Model-Derived Water Cycle Components Over the Upper Blue Nile Basin
TL;DR: In this paper, the authors describe the simulation of evapotranspiration (ET) and discharge at fine spatiotemporal resolution (500m and 3 hourly) from 1979 to 2014, using the Coupled Routing and Excess STorage Soil-Vegetation-Atmosphere-Snow (CREST- SVAS) distributed hydrological model, which physically maintains water and energy balance.