My reflections and notes about hydrology and being a hydrologist in academia. The daily evolution of my work. Especially for my students, but also for anyone with the patience to read them.
Tuesday, December 28, 2021
Edward Wilson (1929-2021) - A storm in the Amazon
Monday, December 27, 2021
DARTH4MED - A Digital eARth Twin of Hydrology for the prediction of water scarcity in the Mediterranean area
D4M gives substance, both technical and scientific, to the Digital Earth metaphor and exploits it to improve the work of scientists and professionals, and to support open science. It aims to provide a shared infrastructure usable by scientists and users to investigate the processes involved in the water, energy and carbon budgets, WB, EB and CB, at a very fine spatial and temporal scale, 1 km2, hourly.
The GEOframe system already contains a sophisticated and complete set of modelling components, constituting a solid basis of comparison for innovative developments. Open API and training will be offered to anyone to advance the mathematical, statistical and numerical descriptions of hydrological and eco-hydrological processes with little programming effort. From this perspective, the project will be an experiment in participatory science, since the tools developed could be improved and given back by collaborative researchers. The method of multiple hypothesis testing will be the rule of scientific endeavour.
The core of the system will manage the interactions of groundwater, vadose zone, surface water, snow, vegetation, atmosphere, usually analyzed separately, and join them seamlessly in the continuum containing the feedbacks among the parts. On these bases researchers will be able to evaluate climate, hydrologic, pedological, ecological droughts.
- To provide the core of a DE, defined as a Digital eARth Twin Hydrology system (a DARTH), to do hydrology by computer, with an infrastructure that allows partecipative hydrology and makes Earth system science practice easier for all the Italian Peninsula.
- To improve the modelling of the water budget, WB, energy budget, EB, Vegetation and Carbon Cycle.
- To provide forecasts for several variables, as detailed in the Synopsis.
- To resolve some research questions, as presented in the Synopsis.
- To give researchers sound tools on which to base their analysis of climate, hydrologic, pedological, ecological and agronomic droughts.
- To provide a high level of abstraction and encapsulation for modelling services, so to allow improvements to parts of the DARTHs by anyone without disrupting the whole.
- To give API and web services to final users, researchers, technical professionals, programmers, to connect their studies and products to the whole D4M, thus combatting the fragmentation of hydrological modelling through a participatory open platform.
- My 3600 characters CV
- The proposal document
- The challenges, methods and objectives
- Go to the previous post to know what DARTHs are
Wednesday, December 15, 2021
DARTHs (Digital eARth Twin Hydrology systems)
To sum up, the Authors think that this is the right moment to push these ideas and desire to open a discussion with other colleagues.
Thursday, November 11, 2021
How to write a paper on a new hydrological model component
Let’s try to keep the matter simple. General rules apply:
- Have a narrative
- Get a scheme
- Cope with the basics
- Have in mind the specific of a paper vs other forms of communication
- Have in mind what reviewer thinks (this video gives further insights for the specific case of hydrological modelling)
Monday, November 8, 2021
GEOframe Winter School 2022 (GWS2022) - Save the dates Dec 20-22, 2021; January 10-14, 2022
December 20-22, 2021 - Installations and Informatics - Online
- Department of Civil, Environmental and Mechanical Engineering, University of Trento
- Center Agriculture Food Environment, University of Trento
- Institute for Agricultural and Forest Systems in the Mediterranean, National Research Council, Ercolano NA, Italy
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And Pizza party every night ! Just Kidding |
- Catchment and Hydrologic Response Unit delineation
- Meteorological variables interpolation with Kriging techniques
- Simple evapotranspiration methods
- Rainfall-Runoff modelling (as explained in these 7 steps)
GEOframe Soil Plants Atmosphere Continuum and hydrology Estimator (GEO-SPACE) essentials
GEO-SPACE (formerly known also as Lys-GEO in its its 1D implementation) is intended to collect the growing set of GEOframe tools developed on the base of process-based philosophy. This can be found envisioned first in Freeze and Harlan, 1969, and, fo instance well documented recently in Fatichi et al., 2016 and Paniconi and Putti, 2016. From a different point of view, it can be considered the upgrade of the GEOtop model, that still efficient and up-to-date, and more advanced than other similar models, was considered to be improvable from the algorithmic and informatics structure. GEO-SPACE make leverage on the various common tools (components) shared with GEOframe-NewAGE and is made up specifically of two main groups components, WHETGEO (mainly due, so far to the work of Niccolò Tubini) and the evaporation and transpiration, as follows from the work by Michele Bottazzi and Concetta D'Amato (ET-GEO).
At present the development of GEO-SPACE (to become GEOtop 4.0) has still to achieve some goals, including the connection of plants treatment on WHETGEO 2D, the implementation of WHETGEO-3D, and so on. The current status of the project can be well described looking at the material presented at the Summer Schools on GEOframe that started in 2021 and will be held usually in week in middle June every year. The most recent School addresses the more recent material.
References
Fatichi, Simone, Enrique R. Vivoni, Fred L. Ogden, Valeriy Y. Ivanov, Benjamin Mirus, David Gochis, Charles W. Downer, et al. 2016. “An Overview of Current Applications, Challenges, and Future Trends in Distributed Process-Based Models in Hydrology.” Journal of Hydrology 537 (C): 45–60.
Freeze, R. Allan, and R. L. Harlan. 1969. “Blueprint for a Physically-Based, Digitally-Simulated Hydrologic Response Model.” Journal of Hydrology 9 (3): 237–58.
Paniconi, Claudio, and Mario Putti. 2015. “Physically Based Modeling in Catchment Hydrology at 50: Survey and Outlook.” Water Resources Research 51 (9): 7090–7129.
Tubini, Niccolò, and Riccardo Rigon. “Implementing the Water, HEat and Transport Model in GEOframe (WHETGEO): Algorithms, Informatics, Design Patterns, Open Science Features and 1D Deployment.” Geoscientific Models Development Discussions.
Thursday, November 4, 2021
Seven Steps Into Catchments analysis by Hydrological models
First step: Overall
- Seven Steps in Modelling I-III Overall Analysis,, Geomorphology, The Data (Vimeo2023)
- (Vimeo2022)
- 4 - Modelling setup, Calibration/Validation
- 5-6-7 Executing, Delivery of the results , Preparing for Open Science