Thursday 16

Thursday 162021-09-15T14:59:27+02:00
9:00 9:30 Welcome Ceremony
Session: UNCERTAINTY O1
Chair: Ashish Sharma
9:30 9:40 Achieving high-quality probabilistic predictions from hydrological models when using a range of hydrological objective functions Mark Thyer, Jason Hunter, David McInerney and Dmitri Kavetski
9:40 9:50 Exploring the stochastic uncertainty of Weather Generators’ extreme estimates in different practical available information scenarios. Carles Beneyto, José Ángel Aranda and Félix Francés
9:50 10:00 Seamless probabilistic streamflow forecasts from daily to monthly scales Dmitri Kavetski, David McInerney, Mark Thyer, Richard Laugesen, Narendra Tuteja and George Kuczera
10:00 10:10 A flow-dependent non-parametric residual error model for improving sub-seasonal forecasts of high and low flows David McInerney, Mark Thyer, Dmitri Kavetski, Richard Laugesen, Fitsum Woldemeskel, Narendra Tuteja and George Kuczera
10:10 10:20 Identification of dominant mechanisms for representing hydrological processes in catchment scale models Cristina Prieto, Dmitri Kavetski, Nataliya Le Vine, Fabrizio Fenicia, Cesar Álvarez and Raúl Medina
10:20 10:35 Session Q&A
10:35 10:45

Coffee break
Session: EXTREMES O1
Chair: Uwe Humberlandt
10:45 10:55 Extreme Precipitation Return Levels for Multiple Durations on a Global Scale Gaby Gründemann, Enrico Zorzetto, Hylke Beck, Marc Schleiss, Nick van de Giesen, Marco Marani and Ruud van der Ent
10:55 11:05 Impact of changing flood generation processes on the regional occurrence of flood anomalies in Europe Larisa Tarasova, David Lun, Günter Blöschl, Stefano Basso, Arianna Miniussi, Miriam Bertola, Rohini Kumar, Oldrich Rakovec, Luis Samaniego, Stephan Thober and Ralf Merz
11:05 11:15 Explaining recent trends in extreme precipitation in the Southwestern Alps by changes in atmospheric influences Juliette Blanchet, Antoine Blanc and Jean-Dominique Creutin
11:15 11:25 Using “clear-sky” temperatures to determine hydrological sensitivities from observations Sarosh Alam Ghausi and Axel Kleidon
11:25 11:35 Regional attribution analysis of changes in flood quantiles across Europe during the past five decades Miriam Bertola, Alberto Viglione, Sergiy Vorogushyn, David Lun, Bruno Merz and Günter Blöschl
11:35 11:50 Session Q&A
11:50 11:55

Break
Session: EXTREMES S1
Chair: Svenja Fischer
11:55 11:57 Analyzing the Drought Teleconnections of North-Western India Using Wavelet Coherence Sreedevi V and Adarsh S
11:57 11:59 Summertime extreme precipitation in the last three decades: an insight from a scientometrics analysis of Web of Science and Scopus from 1993 to 2021 Md. Humayain Kabir and Gottfried Kirchengast
12:01 12:03 Drought characteristics in southern Italy during 1918–2019 by SPEI spatio-temporal assessment Ouafik Boulariah and Antonia Longobardi
12:03 12:05 Recent skew surges and historic record sea levels for the estimation of extreme skew surges Laurie Saint Criq, Eric Gaume, Yasser Hamdi and Taha Ouarda
12:05 12:07 Analysis of maximum precipitation in Thailand using non-stationary extreme value models Juyoung Hong, Thanawan Prahadchai, Piyapatr Busababodhin, Yonggwan Shin and Jeong-Soo Park
12:07 12:09 Analysis of runoff influencing factors: Climate change and human activities Yu Huanghao and Li Binquan
12:09 12:11 The r-largest four parameter kappa distribution Yire Shin, Piyapatr Busababodhin and Jeong-Soo Park
12:11 12:13 Analysis of EURO-CORDEX sub-daily annual maxima precipitation for prediction of rainfall intensity-duration-frequency curves in Sicily (Italy) Paola Nanni, David Peres, Rosaria Ester Musumeci and Antonino Cancelliere
12:13 12:30 Session Q&A
12:30 12:35

Break
Session: VARIABILITY S1
Chair: Mark Thyer
12:35 12:37 Reverse flow routing by means of Ensemble Kalman Filter techniques Valeria Todaro, Marco D’Oria, Maria Giovanna Tanda and J. Jaime Gómez-Hernández
12:37 12:39 Benchmarking machine-learning techniques based on predictions of bathing water indicators Ondrej Ledvinka, Vaclava Matasovska and Petr Pumann
12:39 12:41 Spatial and temporal changes in floods of record across Europe Simone Persiano, Fabio Arletti, Miriam Bertola, Juraj Parajka, Günter Blöschl and Attilio Castellarin
12:41 12:43 Changes in the hydrological regime along the Vistula River course Ewa Bogdanowicz, Emilia Karamuz and Renata J. Romanowicz
12:43 12:45 Spatio-temporal Trend and Frequency Analysis of Precipitation in South-south Nigeria (SSN) Akinwale Ogunrinde and Yahaya Olotu
12:45 13:00 Session Q&A
13:00 14:30

Lunch break
14:30 15:00 2021 ICSH Prize – Awardee:  Prof. José Salas
Session: DATA & VARIAB. O1
Chair: Roberto Deidda
15:00 15:10 Water balance data fusion for estimating data errors without ground-truth Gerrit Schoups
15:10 15:20 Simple combinations for hydrological time series forecasting Georgia Papacharalampous and Hristos Tyralis
15:20 15:30 Complex networks of seasonal high and low flows in Central Europe Manuela Brunner and Eric Gilleland
15:30 15:40 A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data Benjamin Renard, Mark Thyer, David McInerney, Dmitri Kavetski, Michael Leonard and Seth Westra
15:40 15:50 Assimilation of earth observations and in-situ data as a process to improve the quality of seasonal hydrological forecasts Jude Musuuza, Louise Crochemore and Ilias Pechlivanidis
15:50 16:05 Session Q&A
16:05 16:15

Coffee break
Session: DATA S1
Chair: Juliette Blanchet
16:15 16:17 Filling spatial gaps of the CCI soil moisture database in the Iberian Peninsula using machine learning regression methods. Laura Almendra-Martín, José Martínez-Fernández, Ángel González-Zamora, Pilar Benito-Verdugo, Jaime Gaona and María Piles
16:17 16:19 Drivers of heavy-tail behaviour of flood peak distributions in Germany and Austria Elena Macdonald, Sergiy Vorogushyn, Bruno Merz, Björn Guse, Luzie Wietzke, Sophie Ullrich and Matthias Kemter
16:19 16:21 Machine learning algorithms for potential recharge areas mapping in high-altitude Andean mountains with scarce field information Evelyn Aliaga and Freddy Soria
16:21 16:23 Characterization of annual river flow time series and interpretation of the relative performance of time series forecasting methods Georgia Papacharalampous and Hristos Tyralis
16:23 16:25 Development of Machine Learning Approaches for Streamflow Forecasting in Canada Lakshika Girihagama and Naveed Khaliq
16:25 16:42 Session Q&A
16:42 16:47

Break
Session: EXTREMES O2
Chair: Ilias Pechlivanidis
16:47 16:57 Extreme Storm Surge estimation and projection through the Metastatistical Extreme Value Distribution Maria Francesca Caruso and Marco Marani
16:57 17:07 Trends in extreme precipitation frequency: the role of serial correlation and field significance in statistical test outcomes Stefano Farris, Roberto Deidda, Francesco Viola and Giuseppe Mascaro
17:07 17:17 Trend analysis of convective and stratiform precipitation over a Mediterranean area Dario Treppiedi and Leonardo Valerio Noto
17:17 17:27 CLIMATE-INFORMED FREQUENCY ANALYSIS OF FLOODS IN BRAZIL Gabriel Anzolin and Pedro L. B. Chaffe
17:27 17:37 Characterizing Large-Scale Circulations Driving Extreme Precipitation in the Northern French Alps Antoine Blanc, Juliette Blanchet and Jean-Dominique Creutin
17:37 17:52 Session Q&A
17:52 17:57

Break
Session: EXTREMES S2
Chair: Manuela Brunner
17:57 17:59 The nonstationary flood frequency analysis based on the decomposition of nonstationary stochastic processes Cuauhtémoc Tonatiuh Vidrio-Sahagún and Jianxun He
17:59 18:01 Uncertainty analysis of climate change impact on streamflow statistics Jonathan Romero-Cuellar and Félix Francés
18:01 18:03 Flood synchrony in Brazil Pedro Chaffe and Vinicius Chagas
18:03 18:05 Spatio-temporal conditional simulation of rainfall for maximisation of floods Uwe Haberlandt, Luisa-Bianca Thiele, Svenja Fischer and Andreas Schumann
18:05 18:07 Does the climate change pose the threat to the wetlands ecosystems with fluviogenic type of supply? The Lower River Biebrza (Poland) case study Dorota Mirosław-Świątek, Krzyszof Kochanek and Paweł Marcinkowski
18:07 18:09 Analysis of climate change effects on fluvial flooding through stochastic modeling Salvador Navas and Manuel del Jesus
18:09 18:24 Session Q&A

****All times are in CET

  • DATA: Applications of big data, data mining and information theory. Data assimilation for hydrological forecasts
  • VARIABILITY: Spatio-temporal variability and scaling. Geostatistics in groundwater and surface hydrology
  • UNCERTAINTY: Quantifying uncertainty in hydrological predictions
  • DESIGN AND RISK: Hydrological design and risk assessment under changing environment
  • EXTREMES: Extreme hydrological and meteorological analysis under global changes
  • TIME SERIES: New approaches in time series analysis
  • O: Orals
  • S: Short Orals
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