Posters

HS7.2

The assessment of precipitation variability and uncertainty is crucial in a variety of applications, such as flood risk forecasting, water resource assessments, evaluation of the hydrological impacts of climate change, determination of design floods, and hydrological modelling in general. Within this framework, this session aims to gather contributions on research, advanced applications, and future needs in the understanding and modelling of precipitation variability, and its sources of uncertainty.
Specifically, contributions focusing on one or more of the following issues are particularly welcome:
- Novel studies aimed at the assessment and representation of different sources of uncertainty versus natural variability of precipitation.
- Methods to account for different accuracy in precipitation time series, e.g. due to change and improvement of observation networks.
- Uncertainty and variability in spatially and temporally heterogeneous multi-source precipitation products.
- Estimation of precipitation variability and uncertainty at ungauged sites.
- Precipitation data assimilation.
- Process conceptualization and modelling approaches at different spatial and temporal scales, including model parameter identification and calibration, and sensitivity analyses to parameterization and scales of process representation.
- Modelling approaches based on ensemble simulations and methods for synthetic representation of precipitation variability and uncertainty.
- Scaling and scale invariance properties of precipitation fields in space and/or in time.
- Physically and statistically based approaches to downscale information from meteorological and climate models to spatial and temporal scales useful for hydrological modelling and applications.

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Co-organized as AS1.33/CL2.09/NH1.22/NP5.7
Convener: Simone Fatichi | Co-conveners: Alin Andrei Carsteanu, Roberto Deidda, Andreas Langousis, Chris Onof
Orals
| Wed, 10 Apr, 08:30–12:30
 
Room 2.44
Posters
| Attendance Wed, 10 Apr, 16:15–18:00
 
Hall A

Attendance time: Wednesday, 10 April 2019, 16:15–18:00 | Hall A

Chairperson: Andreas Langousis, Simone Fatichi
A.170 |
EGU2019-3066
Hans Van de Vyver, Bert Van Schaeybroeck, Rafiq Hamdi, and Piet Termonia
A.173 |
EGU2019-6636
A study on sensitivity of heavy rainfall simulation over the Korean Peninsula to cumulus convective parameterization schemes in WRF
(withdrawn)
Haerin Park, Donghyun Cha, and Gayoung Kim
A.175 |
EGU2019-8783
Enrica Perra, Francesco Viola, Roberto Deidda, Domenico Caracciolo, Andreas Langousis, and Claudio Paniconi
A.176 |
EGU2019-9412
Alexandra Hamm, Anselm Arndt, Christine Kolbe, Boris Thies, Oleksiy Boyko, Paolo Reggiani, Jörg Bendix, Dieter Scherer, and Christoph Schneider
A.179 |
EGU2019-12327
Juan Ossa-Moreno, Neil McIntyre, Greg Keir, Michela Cameletti, and Diego Rivera
A.181 |
EGU2019-16131
Ross Pidoto, Uwe Haberlandt, and Faizan Anwar
A.182 |
EGU2019-14180
Barbara Haese, Sebastian Hörning, Christian Chwala, Maximilian Graf, András Bárdossy, and Harald Kunstmann
A.184 |
EGU2019-13008
Stochastic-dynamic hydrometeorological models: Considerations of feedback and stationarity
(withdrawn)
Alin Andrei Carsteanu and César Aguilar Flores
A.185 |
EGU2019-1490
Shushobhit Chaudhary and Chandrika Thulaseedharan Dhanya
A.187 |
EGU2019-7568
Javier Díez-Sierra and Manuel del Jesus
A.188 |
EGU2019-10680
Konstantinos Vantas, Epaminondas Sidiropoulos, and Marios Vafeiadis
A.189 |
EGU2019-13745
Perspectives in statistical downscaling of climate model precipitation
(withdrawn)
Jie Chen, Xunchang John Zhang, Qiang Guo, and Tianhua Su
A.190 |
EGU2019-18457
Albertus Wickel, Navid Ghajarnia, David Yates, Andrew Newman, Marisa Escobar, David Purkey, Nilo Lima, Ana Cecilia Escalera, and Manon von Kaenel
A.191 |
EGU2019-2827
Hristos Tyralis, Georgia Papacharalampous, Apostolos Burnetas, and Andreas Langousis