H172
Hydrometeorologic Extremes: Prediction, Simulation, and Change IV Posters

Tuesday, 15 December 2020: 04:00-20:59
Poster
Primary Convener:  Manuela Irene Brunner, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States
Conveners:  Laurie Huning, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States, Gabriele Villarini, University of Iowa, Civil and Environmental Engineering, Iowa City, IA, United States and Upmanu Lall, Columbia University, New York, NY, United States
Primary Liaison:  Manuela Irene Brunner, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States
Chairs:  Laurie Huning, University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, CA, United States and Gabriele Villarini, University of Iowa, Civil and Environmental Engineering, Iowa City, IA, United States
OSPA Liaison:  Manuela Irene Brunner, WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Mountain Hydrology and Mass Movements, Birmensdorf, Switzerland
 
A Correlation Analysis of Extreme Climate Indices and River Flood Events in Northwestern Italy (721082)
Matteo Pesce, Jost von Hardenberg and Alberto Viglione, Polytechnic University of Turin, Department of Environment, Land and Infrastructure Engineering, Turin, Italy
 
A transformation-based method for automatic threshold selection in Peaks Over Threshold (POT) approach (727827)
Kiran K G, Indian Institute of Science, Bangalore, India and Srinivas Venkata Vemavarapu, Indian Institue of Science, Civil Engineering Department, Interdisciplinary Centre for Water Research (ICWaR), Bangalore, India
 
Accounting magnitude, spatial extent and duration for ranking of extreme precipitation events in Indian Western Himalayan (740731)
Saurav Raj, Indian Institute of Technology Roorkee, Roorkee, India and Ankit Agarwal, Indian Institute of Technology Roorkee, Hydrology, Roorkee, India
 
Assessment of flash and incessant rainfall risks in India: Integrating the influence of global oscillations and socio-economic vulnerability (670525)
Srinidhi Jha, Manish Kumar Goyal and Jew Das, Indian Institute of Technology Indore, Discipline of Civil Engineering, Indore, India
 
Attribution of the Impacts of the 2008 Flooding in Cedar Rapids (Iowa) to Anthropogenic Forcing (674761)
Gabriele Villarini1, Wei Zhang1, Felipe Quintero1, Witold F Krajewski1 and Gabriel Andres Vecchi2, (1)University of Iowa, Iowa City, IA, United States, (2)Princeton University, Department of Geosciences and Princeton Environmental Institute, Princeton, NJ, United States
 
The centrality of projected climate variables to the discourse of studying, attributing and planning for climate change (776980)
Titas Ganguly, Indian Institute of Technology Roorkee, Roorkee, India
 
Climate-Driven Changes in Synchronicity of Mainstem and Tributary High Flows May Alter Flood Risk in the Columbia River Basin (682431)
David Earl Rupp, Oregon State University, Corvallis, OR, United States, Oriana Chegwidden, University of Washington Seattle Campus, Seattle, WA, United States, Bart Nijssen, University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States and Martyn P Clark, NCAR, Boulder, CO, United States; University of Saskatchewan Coldwater Laboratory, Canmore, Canada
 
Evaluating Spatiotemporal Patterns of Drought in Japan from 1960 to 2018 (678917)
Ke Shi, Yoshiya Touge and So Kazama, Tohoku University, Department of Civil Engineering, Sendai, Japan
 
Evaluation of the capability of global and regional climate models to reproduce the temporal clustering in heavy precipitation across Europe (681682)
Zhiqi Yang, University of Iowa, Iowa City, IA, United States and Gabriele Villarini, University of Iowa, Civil and Environmental Engineering, Iowa City, IA, United States
 
Exploring the role of hydrological pathways in modulating North Atlantic Oscillation (NAO) teleconnection periodicities from rainfall to streamflow (671619)
William Rust1, Mark O Cuthbert2, John Bloomfield3, Ron Corstanje4, Nicholas J K Howden5 and Ian Holman1, (1)Cranfield University, Cranfield, MK43, United Kingdom, (2)Cardiff University, School of Earth & Ocean Sciences, Cardiff, CF24, United Kingdom, (3)British Geological Survey Wallingford, Crowmarsh Gifford, UNITED KINGDOM, (4)Cranfield University, Cranfield, United Kingdom, (5)University of Bristol, Bristol, BS8, United Kingdom
 
Extreme Storm Surge estimates and projection through the Metastatistical Extreme Value Distribution (698731)
Maria Francesca Caruso, University of Padova, DICEA, Padova, Italy and Marco Marani, University of Padova and Duke University, DICEA and EOS/CEE, Durham, NC, United States
 
From Recent Significant Precipitation in China to a Glocal Hydrometeorological Solution for Flood Risk Prediction (729590)
Huan Wu1, Zhijun Huang2 and Xiaomeng Li1, (1)Sun Yat-Sen University, School of Atmospheric Sciences, Guangzhou, China, (2)Sun Yat-Sen University, Guangzhou, China
 
Impact of a fully coupled high-resolution medium range hydrometeorological forecast in an ensemble framework: evaluation of a case study in the Calabria peninsula (Southern Italy) (725909)
Giuseppe Mendicino1, Luca Furnari2, Linus Magnusson3 and Alfonso Senatore2, (1)University of Calabria, Cosenza, Italy, (2)University of Calabria, Calabria, Italy, (3)European Center for Medium-Range Weather Forecast, Reading, Berkshire, United Kingdom
 
Improvements to Flood Frequency Analysis Using Climate and Paleoflood Data (672750)
Joeri Reinders and Samuel E. Munoz, Northeastern University, Boston, MA, United States
 
Influence of the density and of the “nestedness” of the gauged donors when regionalising a rainfall-runoff-model (754080)
Mattia Neri, University of Bologna, DICAM, Bologna, Italy, Elena Toth, University of Bologna, Bologna, Italy and Juraj Parajka, Vienna University of Technology, Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
 
Non- Stationary Hershfield Method for Probable Maximum Precipitation Estimation (737719)
Jaya Bhatt, Indian Institute of Science, Department of Civil Engineering, Bangalore, India and Srinivas Venkata Vemavarapu, Indian Institue of Science, Civil Engineering Department, Interdisciplinary Centre for Water Research (ICWaR), Bangalore, India
 
Non-Parametric Confidence Sets for Change Points in Time Series of Extremes (739109)
Ronald van Nooijen, Delft University of Technology, Delft, Netherlands and Alla Kolechkina, Delft University of Technology, Delft Center for Systems and Control, Delft, Netherlands
 
Patterns of low flow and intermittency in the rivers of water surplus zone (721283)
Serhii Nazarenko, Jūratė Kriaučiūnienė, Vytautas Akstinas and Diana Šarauskienė, Lithuanian Energy Institute, Laboratory of Hydrology, Kaunas, Lithuania
 
Potential Impacts of anthropogenic forcing on the consecutive 2018-19 droughts in the central Europe (684562)
Vittal Hari1, Oldrich Rakovec1, Martin Hanel2, Ioannis Markonis2 and Rohini Kumar3, (1)Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany, (2)Czech University of Life Sciences, Department of Water Resources and Environmental Modelling, Prague, Czech Republic, (3)Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany, Computational Hydrosystems, Leipzig, Germany
 
Spatiotemporal Evolution of Droughts and Their Teleconnections with Large-Scale Climate Indices over Guizhou Province in Southwest China (664518)
Liying Xiao1, Xi Chen2, Runrun Zhang2 and Zhicai Zhang2, (1)Hohai University, Nanjing, China, (2)College of Hydrology and Water Resources, Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
 
Statistical Processing And Modeling For Performance Tuning Of Integrated River Basin Physical Modeling (756670)
Hatem Khedr, Helmholtz Centre for Environmental Research UFZ Leipzig, Computational Landscape Ecology, Leipzig, Germany and Martin Volk, Helmholtz Centre for Environmental Research UFZ Leipzig, Computational landscape Ecology, Leipzig, Germany
 
WHAT DO SMALL URBAN WATERSHEDS TELL US ABOUT CLIMATE CHANGE? COUPLED ANALYSES OF TWO DECADES OF URBAN STREAMFLOW AND A 20-YEAR HIGH-RESOLUTION RADAR RAINFALL DATA SET (743362)
Andrew J Miller1, Mary Lynn Baeck2, James A Smith3, Molly Margaret Margaret Chaney3 and Touba S Shah4, (1)University of Maryland Baltimore County, Dept. of Geography & Environmental Systems, Baltimore, MD, United States, (2)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States, (3)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (4)University of Maryland Baltimore County, Dept. of Geography & Environmental Systems, Baltimore, United States
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