2019 International Winter School on Hydrology

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Edizione 2019: CORSO BREVE INVERNALE sul tema DATA RICH HYDROLOGY

[Download 2nd Announcement]

organizzata da

Consorzio interuniversitario per l’idrologia CINID

UNESCO World Water Assessment Program WWAP

Università per Stranieri di Perugia WARREDOC

Colombella (Perugia, Italia), 28 gennaio – 1 Febbraio, 2019

 

Background and Goals

The past century hydrological sciences developed, among the other Earth Sciences sectors, as a data poor scientific discipline. In the 70’s, 80’ and 90’s hydrologists and water resource management professionals struggled with lack of data, data limitations due to the spatial and temporal scale and significant inaccuracies and data voids in hydrological time series and spatial layers. As a matter of fact, hydrologists developed geospatial and numerical interpolation, extrapolations and models to address water resource and risk management challenges and issues. At the end of the century the situation abruptly changed with the Earth Observation (EO) of the water cycle and land morphology from space. Advanced data processing and distribution systems that were implemented at the beginning of the new century easily and freely provided continuous high resolution topographical and environmental data. This was a turning point for hydrology, with the advent of terrain analysis and spatially distributed models that were finally feeded by spatially continuous data on water morphology and hydrologic processes. In less than 20 years, remote sensing and ground monitoring systems have transformed the way hydrologists work with an exponential increase of data temporal, spatial scale and resolution. We now live in a data rich world, with public and private satellites, Lidar, drones and ground radars that provide unlimited opportunities and data to hydrologists for understanding, monitoring, modeling and interpreting watershed physical processes, features and water-human interactions in complex urban ecosystems. Moreover, Internet of Things (IoT), video cams and environmental low cost sensors are now increasingly available providing information not only on natural and urban hydrologic system dynamics, but also on human behavior, risk perception and societal dynamics related to human needs (i.e. water-food-energy nexus), natural disasters and water stress. Citizens are not only just passive users, but they dynamically interact, sending and receiving information in real time, becoming human sensors of the real world. As a result, while hydrology is transforming with “New data”, Big Data and Data/Citizen science, it seems that it has become more and more important to make sure that the quest for hyper-resolution global water modeling, does not neglect the importance of proper understanding and representation of hydrological and meteorological processes in complex multi-disciplinary earth science research and projects. General goal of this Winter School is to guide participants in understanding and learning the theory, data, methods and tools by means of lectures and hands on for an extensive and immersive introduction to most recent findings of hydrological sciences. At the end of the School students will catch the opportunities of the “Data Rich Hydrology” era we live in, while learning the importance of understanding the knowledge gaps and scientific advancements related to hydrological process mechanics and evolving watershed features.


AGENDA

28 Gennaio

09:00 – 9:30 Welcome remarks and Introduction to the Winter School on Hydrology
09:30 – 11:00 Rafael L. Bras: The Era of Data Rich Hydrology – part 1
11:00 – 11:30 Q & A session – Open Discussion
11:00 – 13:00 Stefan Uhlenbrook: The WWDR and SDG 6 Synthesis Report – part 1
14:30 – 16:00 Fabio Castelli: Remote sensing and data assimilation in hydrology
16:00 – 17:30 Aldo Fiori: Groundwater hydrology and hydrological process mechanics
17:30 – 19:00 Marco Marani: Beyond traditional extreme value theory: lessons learned from rainfall and hurricane intensity

29 Gennaio

09:00 – 10:00 Rafael L. Bras: The Era of Data Rich Hydrology – part 2
10:00 – 10:30 Q & A session – Open Discussion
10:30 – 12:00 Stefan Uhlenbrook: The WWDR and SDG 6 Synthesis Report – part 2
12:00 – 13:30 Maria Crustina Rulli: The water-food-energy nexus
15:00 – 16:30 Roberto Deidda: Modelling scaling properties of precipitation fields
16:30 – 18:00 Salvatore Grimaldi: Hydrologic measurements and novel observation technologies
20:00 – 22:00 Social Event

30 Gennaio

09:00 – 11:00 Salvatore Manfreda: Drones in Hydrology – part 1 (lecture)
11:00 – 13:00 Salvatore Manfreda: Drones in Hydrology – part 2 (hands on)
14:30 – 16:00 Riccardo Rigon: Hydrologic modelling in a data rich world
16:00 – 17:30 Andrea Libertino: Advances in the space-time analysis of rainfall extremes
17:30 – 19:00 Elena Volpi: Statistical hydrology

31 Gennaio

09:00 – 10:30 Daniele Ganora: Data poor vs. data rich cases for flood hazard – part 1 (lecture)
10:30 – 12:00 Daniele Ganora: Data poor vs. data rich cases for flood hazard – part 2 (hands on)
12:00 – 13:00 Gabriele Freni: Distributed Data quality and urban flood modelling uncertainty
14:30 – 16:00 Fernando Nardi: Citizen science and big data in hydrology
16:00 – 18:30 Computer Lab – Practice data and tools

1 Febbraio

09:00 – 11:00 Tommaso Moramarco: Stream flow measurements: ground and satellite observations
11:00 – 13:00 Q & A session – Open Discussion

Informazioni per iscriversi e logistica 

La quota di registrazione è di 450 Euro. La quota include il materiale e le esercitazioni, vitto e alloggio per l’intera settimana.

Dati bancari per il pagamento:

IBAN: IT 31 H 02008 03043 000029465268

Per registrarsi compilare questa form entro il 15 gennaio 2019. Per maggiori informazioni scrivere a fabio.castelli (at) unifi.it e warredoc (at) unistrapg.it

 

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