Showing posts with label Research Topics. Show all posts
Showing posts with label Research Topics. Show all posts

Thursday, December 12, 2024

Positions in snow modelling, Po River basin hydrology, soil-plant-atmosphere interactions and GEOframe system development @UniTrento

 Dear All,

I am seeking motivated  master graduated interested in working in areas related to Snow modelling, Po River basin hydrology, Soil-plant-atmosphere interactions and GEOframe system development. Below are some exciting thesis opportunities, each with potential for continuation into a Ph.D. program. Post doc positions could be considered as well for appropriate persons.


1. Snow Modelling (SUNSET PRIN Project)

This topic focuses on snow dynamics modeling using GEOframe-NewAGE and GEOtop, within the SUNSET PRIN project (Details). Opportunities include fieldwork, guided by Prof. Stefano Ferraris (University of Turin), with Dr. John Mohd Wani as co-supervisor.

2. Po River Basin Projects (ADBPo Collaboration)

The Po River Basin thesis topics align with the long-term collaboration with the Basin Authority of River Po (Details). These projects could lead to Ph.D. opportunities and professional roles.

Topics include:

- Modeling Romagna Catchments for Drought and Flood Prevention
  Focused on hourly-scale modeling for water management.
- Co-Supervisor: Ing. Gaia Roati (Po Basin Authority)
- Includes periods at the Po Basin Authority in Parma.
- Earth Observation for Po River Basin Calibration
  Systematic use of satellite data to validate and improve GEOframe-NewAGE models.
- Part of: SpaceItUp! PNRR (Italian Space Agency) and an upcoming ESA project
- Collaboration: Ing. Hossein Salehi, Fondazione Edmund Mach, and Prof. Manuela Girotto (UC Berkeley).

3. Land-Surface Interactions with the use of the GEOSPACE system and its development (EPFL collaboration, ESA Projects, EU Projects)
- Modeling Transpiration and Soil-Atmosphere Interactions
  Utilize GEOframe-NewAGE and GEOSPACE for basin-scale modeling.
- Co-Supervisor: Dr. Concetta D’Amato (EPFL, Sion Campus)
- Includes a potential study period in Sion.
- Depending on the specific topic other collaboration should be envisioned

Topics include:
- Estimating the effects of evaporation and transpiration at Po scale, integrating GEOSPACE with Earth Observation.
- Understanding the effects of soil evolution under the action of biota and under global warming.
- New parameterizations of the atmosphere - plant interactions

4. Informatics-Oriented GEOframe Development (SIM Project)
- Integrating Large Language Models with GEOframe
  Explore the potential of Generative AI for improving user interaction and programming within GEOframe.
- Transforming GEOframe into a DARTH
  Enhance the GEOframe infrastructure and Object Modelling System (OMS) codebase.
- Co-Supervisors: Prof. Giuseppe Formetta and Dr. Olaf David (Colorado State University)
- Includes a potential study period in Fort Collins, Colorado.


Additional Information

All theses involve using and extending GEOframe tools, requiring proficiency in Python and Java. Coding skills are especially critical for informatics-oriented topics.
These projects provide an excellent foundation for doctoral studies and professional development in hydrology, environmental modeling, and computational science.

Please feel free to share this information and contact me for further details.

Best regards, 
Riccardo Rigon
riccardo<dot> rigon<@>unitn<dot>it

The anticipated salary for pre-doctoral and Ph.D. students is €1,350 per month (net), plus an additional €3,000 annually for supplementary activities. For postdoctoral researchers, the net annual salary ranges from €24,000 to €30,000, depending on individual qualifications and experience. Additional income opportunities may also be available. The cost of living in the region is more affordable compared to many other European countries.


IMPORTANT !!!!

P.S. - In your response, please specify which of the above proposals you are interested in pursuing, along with a brief explanation of your motivation. Send your CV with your age and gender included. If you do not have prior experience with the GEOframe system,, we kindly request that you first enroll in our  GEOframe School (we are happy to waive your subscription fees). Please complete the enrollment and mention in your communication that you have done so.
The school has already covered the installation process and some theoretical aspects, but all materials are available online for self-paced learning. The next session will take place in January, and individuals currently in Italy are encouraged to attend in person.

Monday, June 7, 2021

Where do we stand with theory, tools and methods and where to go with applications

AS the followers know, time to time I have to summarize what we are doing and where we stand. Clearly for me is a necessity to frame what we are doing and look forward without wasting too much energies in unsustainable directions. Please also see the complementary discussion  here


 HDSys (Hydrological Dynamical System studies

A further theoretical effort has to be made to get the main characters of the structure of such types of models pushing as far as possible the use of tools commons with other branches of science, like environmental science, chemical reactions, cell biology, theory of populations, system and control science, spreading of diseases. The rest of the effort has to be done in generalizing the implementation of solvers, in such a way they can be applied seamlessly where they can. The history about how spatially distributed systems can be described as compartmental systems is still to be written but it is the first time in hydrology history we can massively try alternative modelling solutions.

Evapotranspiration and ecohydrology

Prospero model has to be refactored and enhanced with the introduction of the Ball-Berry parameterization. The Rosalia (plant's hydraulic model) model pursued and finally the LysGEO 1D finished. LysGEO 2D should be derived as soon as WHETGEO 2D is stable. Evapotranspiration has to be connected with travel times for the needs of the WATZON project. Simple models of carbon production have to implemented (see HDSys) to interoperate

Soil and Critical Zone

WHETGEO 1D has been made. It needs to be cleaned up and made easier. Systematic tests should be performed against experimental data and its success is tied to this. Future developments should aim to introduce preferential flow in soil by using the clone scheme. Similarly, it is possible to remove the constraint of thermal equilibrium between soil matrix and soil water. The coupling of the water and energy budget should be completed by considering the phase change of water, as well as the modelling of snowpack at the soil surface. Thanks to its robust numeric WHETGEO 1D can be used to investigate the soil celerity deeply. Interesting can be the of WHETGEO 1D with the concept of laterally coupled tiles in which lateral fluxes between interactive tiles are defined through some transport laws. This represents an intermediate solution between WHETGEO 1D and WHETGEO 2D, that we can call WHETGEO 1.5D.

WHETGEO 2D must be cleaned up and brought to the same operability that 1D has. The first step concerns the completion of the coupling between surface and subsurface flows. This is necessary to properly simulate run-off generation processes, and numerically speaking to properly define the boundary condition at the soil surface. A key aspect in WHETGEO 2D is then related to the optimization of the computational cost and in tandem with an efficient strategy to save data. This will require abandoning the netCDF-3 in favor of a more efficient file format.

The extension to 3D simply must be implemented, but we are on the ball.

…all that remains is to play with WHETGEO.

Travel Time and Tracers modelling

The basic theoretical framework has been clarified. Now we have to push it to tracers and systematically apply it to all the the cases. Tracers description has to be added to the whole set of models.

Information technology

OMS has to be cleaned up and brought to work with Java 17 and its building possible with Maven or Gradle. Net3 and intrinsic parallelization has to be improved. GEOframe bottlenecks eliminated for its greater usability. The Github site made more fancy and usable. Maybe all of it should work commanded from Jupyter Notebook. R and Python should be used more extensively for data IO. Classes for teaching programming GEOframe  has to be finally completed.

Applications/Deployments

Po project, Nera work, Ressi modelling, various hillslope experiments modelling have to be brought to an end. Being concentrated on theory, methodology and software, just a little time remains for applications. This does mean that people working with me has to carry applications on their own shoulders, on a larger extent than I do. For what regards me, a decadal objective could be in bringing our tools to work progressively on Po, Adige, Italy, the whole Mediterranean area with an eye to both the water and energy budget (and, forthcoming, the carbon budget) with unprecedented detail and precision.
From Allam, Antoine, Roger Moussa, Wajdi Najem, and Claude Bocquillon. 2020. “Chapter 1 - Hydrological Cycle, Mediterranean Basins Hydrology.” In Water Resources in the Mediterranean Region, edited by Mehrez Zribi, Luca Brocca, Yves Tramblay, and François Molle, 1–21. Elsevier.



Overall keywords

Remote sensing - Machine Learning - Information theory- Data assimilation

Slowly but steadily remote sensing and machine learning have to be introduced among the GEOframe tools. We are going to pursue it within a few doctoral efforts. A deeper data assimilation into models is to be seen as mandatory, for the good of modellers and experimenters. New techniques of analysis of data and models outputs have to be deployed ... and so on. 


Wednesday, January 24, 2018

My Questions for the 23 Hydrological Questions initiative

In November 2017 IAHS launched the new initiative to generate the 23 unsolved problems in Hydrology that would revolutionise research in the 21st century with the following YouTube video:

I probably have to formulate them differently. However at present my points are

1- What future for process based modelling beyond persistent dilettantism ? How can we converge towards new types of open models infrastructures for hydrology where the crowd can contribute, big institutions do not dominate, and reinventing the wheel will not be necessary anymore ?

2 - How to solve the energy budget, the carbon budget and the sediment budget together to constrain hydrologic models results ?

3 - Which new mathematics to choose for the hydrology of this century ? Does new hydrology (Earth System Science) needs new mathematics ?

4 - Will machine learning have a real role in hydrological modelling ?

5 - How can we really cope hydrological modeling with remote sensing measures ?

6 - How plants and grass work and interact with soil and atmosphere to produce evaporation ? Can we converge to unifying concepts that overcome present fragmented understanding ?

7 - How can we detect and measure spatial hydrological patterns ?

8- Does hydrology needs non-equilibrium thermodynamics or even a new type of thermodynamics ?

9 - How can we do hydrology science more open and replicable ?

10 - How dominant hydrological processes emerge and disappear across the scales. What tools are needed to follow the entanglement of processes ? Will we be finally able to cope with  feedbacks among processes?

Thursday, June 29, 2017

Start it up again

I am reflecting about what to do in the next Fall. Last year was heavy but the workflow was following a given track, and I have not to think about what to do . This incoming Fall will be a little different.  Looking forward, I obviously have wishes, but reality are the people I am working with that keep me on more concrete goals. So I have four or five offsprings, since I am working directly with five students (let’s call them S1 to S5, they know who is who).



The first direction of work is the consolidation S1 work, but not limited to it. This work, during the last year, covered mainly the systematising of the theory of travel times, producing a (imho) beautiful paper which was not so much recognised yet. This happened because we could not access, so far, reliable-enough tracers' data to test the theory, improve details of our informatics accordingly, and continue the thread of publications in that research direction. One single publication on a topic is usually quite invisible if it is proposed by newcomers (as we are in this topic). 
We also redirected part of S1 work towards the building of an operational hydrological model, which is a task with its own pain. It was based on a (relatively) new partition of (lumped) hillslope fluxes that was necessary to test by itself. This work is at a good stage but the initial goals, of fully testing and have it operational, has been only partially accomplished so far. Much work is required in the Fall to arrive to a full completion of the task which would allow also an easy (without pain) reproducibility of the results (it is a long story.  To see models that work in papers and do not work so fairly in my implementation, is a constant of my research life). Getting a new cleaned version of the new model would mean also cleaning the Adige-Hymod component ("the old model"), to use it for comparison. Documentation of the new model has to be completed on the GEOframe blog too. This could involve distilling some of what already done for the 2017 hydrology class. Understanding the limitations of the new model would be also an achievement, especially regarding some details of the hydrographs that are reproduced systematically wrong. Hopefully this work would lead to a  paper on modelling*  (which could be under our - mine and student's- control) and others that the new arrangement of reservoirs allows in term of processes description (which is not fully under our control, since we need data produced by other researchers). S1 has to be pro-active in this.

Student 1 approach is very much based on a new engine to run modelling solutions described by graphs (to see what I mean, please see here). This task has been pretty much on the shoulders of S2 who did a good job in understanding how OMS works and in implementing a graph-based way to execute in parallel the models implemented in each node. This was constructed with the idea that graphs can describe many type of interaction, but the first implementations are to describe a river network hydrology, having hillslopes (or better HRU as, see the introduction of this paper). It cannot be considered a final work until the modifications he introduced will not flow into the OMS mainstream code. Besides, I am sure the idea is so fertile that several and several generalisation of the system will follow.

This informatics, behind the tree-graph engine, can produce a paper that could be written in the incoming Fall, especially if more than one exemplificative modelling solutions could be shown to work with it*. S2 tells me that the next main problem is to make the calibration machineries of OMS to work properly with various modeling solutions and spatial arrangements. But I am confident that, with the help of Olaf David (OD), this can be obtained reasonably soon. One further steep in informatics, would be to use the CSIP infrastructure to run our modelling solutions on the UNITN multiprocessor system.

Overall S2 has interaction with most of the other guys (see also below). His effort can be summarised in saying, that he is contributing practically and theoretically, in building an infrastructure for scientific productivity and science reproducibility. I think from his cooperative work, a new version of OMS will come out, and his work will also result in some new interesting papers.
The branch of the work in which S2 works is the one I know personally the least. I am conscious that this can cause frustration since he has to explore, mainly by himself, the unexplored. Hope that OD can fill the empty space, but I will try to do a little effort to reduce the gap myself, even if I cannot guarantee the results. 

S3 is working on finding his way. The idea is to work with him on the irrigation demand. This has two non hydrological aspects, the climatological and the plant’s one. The climatological regards the expectation one has in certain places to have certain temperature, radiation (CO2 contents); the plants' response has to do with their response/adaptation to the climate forcing. However, I left out, to mention now,  the third aspect, the hydrological one that has to do with water availability. This, in turn, has also two aspects, the natural one, which, in part, falls in the climatological area, and the human intervention. On the first, we dare to say,  we are experts, and have models to treat with it, especially GEOtop and its evolutions, but also JGrass-NewAGE. However, we should not give for granted  that the description of water movemente in “natural” settings, could not be improved. On the second, personally, I am a parvenù, and I have a lot to learn. Involving humans, accounting for  anthropic behavior and conflicts, could not be out of the horizon, but also how to connect the hydraulics of human infrastructures with the “natural" environment cannot given for granted. So S3 has a perspective to build and a focus to create on just a few of the aspects of this complex question (he, we, will not able to deal with everything): with the second year of the Ph.D incoming S3 has to search this  consistently and produce a couple of research questions to live along in the next two or three years. It could or could be not in one of the aspects I like the most (modelling, and thinking to the infrastructure -physics and informatics- to give answers) but he has (we have) to take decisions.

S4 is working on Richards equation (again!).  The roadmap is well traced, into enriching the actual 1d code with, among possible other aspects: 1- the energy budget; 2 - the freezing: 3- the withdraw either a- natural and b-human; 4 - the interaction with surface water (either as source of pressure or element where runoff is produced). A few others: a - to make explicit the vapour flux inside soil, and therefore, add a further budget; b - to include an explicit treatment of the water (molecules) age, according to theories well defined around year 2000; c - be more explicit in describing water functioning by introducing plants thermodynamics and hydraulics (a topic, the latter where convergence can be found with S3). We focused our first attention on freezing soil aspects, but the whole CZO studies are waiting for tools.
This roadmap is to be broken into steps  to  get along with  before to switch to a full 3D implementation. There are aspects of this research (also described from a different point o view here) that could represent possibilities with strong interactions with S2. S2 graph infrastructure, in fact, should be versatile enough to be able to run, at its node several of these codes, which exchanges, for instance, just water remaining at the surface. Besides, there remain the big problem on how to get the best computational parallel behavior in multiprocessor or multicores machines, under the hood, i.e. without the hydrologist has to take care too much about it (what we call implicit parallelism). But this is just one of the further possible directions to investigate on the informatics side. 
There are a lot of technical mini-issues in all of these topics (which are not mini, at the end). For instance why we do not adopt a more reliable method than CSV for input and output files (I know at least two: one is netcdf, the second is sqlite files/databases) ?

S5 is concerned with Urban Hydrology. His committment is about absorbing SWMM (its site here) concepts and organisation into a new system which include a designing tool compatible with it. It's just a master thesis, but I have expectations on his work. Today SWMM relies on old physics and, above all, is not a designing tool. For who is interested, we did some experience and work around by using different tools (GISWATER, QGIS, Docker) in the experiment we made with students last semester. I think was hard but fun, and we will see the results with the next week finals. Let's what we will be able to produce in future to bring the infrastructure into OMS (OD told me that he already has a ported version of SWMM, let's see if we can find it in some drawer).

Seen from the bottom, and the real work of people, all our enterprise seems matter of ordinary  work and, accordingly, of incremental work, while science, instead, is often said to be looking for paradigmatic changes. However, this is only an impression. There are only a few models (or models component) like ours and our model were conceived since long ago (here a brief compendium of ideas) to set the base for those paradigmatic changes just mentioned. Hydrology has been said to be a dilectantistic field, where physical issues are never really solved and people get accostumed with solutions that just work. My attention to informatics is for freeing people from the legacy of too much constraining tools, allowing third parties inspection of scientific work, and making easier the implementation of new modelling approaches and ideas. I think we are close to this, and we should perseverate on this road.

Before closing this, I just want to refocus on the two possible papers I mentioned above.

S1 paper cannot be justified itself by saying that it is "a new model". So the scientific question has to be a different one. For instance, 1 - which is the minimal set of reservoirs that allows to describe evapotranspiration correctly; 2 - How the introduction of these reservoirs alter the overall residence-travel time; 3 - Is the age of evapotranspirated water in this model different from the age of the runoff water ? 4 - can we say something abot the information that flows around ?

*S2 paper can be justified by saying that it make much more flexible the building of models, either because it is possible to include different types of "models" in each node and also because, we can add and delete nodes (and the relative connections) without altering the rest of the model structure at run time. For instance, in a spatially semi-distribute model, that  works for giving the proper water budget of a catchment, we can add an intake or a reservoir, to see what does change. Or, in the same way, maintaining the same spatial organisation, we can change the runoff production mode in each node wihout excessive reprogramming burden. Looking also how the performance scales with the number of nodes, for instance in comparison, with ADIGE Hymod, could also be of interest.


In any of the two case, we have to keep in mind that a paper is a narrative of something that can be (or should ?) be different from simply describing the tool we have in our hand and it became interesting only when it is finalise to fill a gap in our current knowledge or overcome the current state of art. (What can we do that before was not possible ? Why it is good for research ? Why it is good for operational systems ? How it affects performances ? How it affects performances of researchers ? 

Wednesday, September 7, 2016

On " How to make our models more physically-based"

These reflections came after having read the discussion paper of the same title by Savenije and Hrachowitz (S&H) on HESSD, and I offer them to your own thinking (their paper was very successful in rising my interest, then). So first, read the opinion paper.

The paper has some (a ?) very good point:

In brief, our hydrological system is alive and has a strong capacity to adjust itself to prevailing and changing environmental conditions. Although most physically based models take Newtonian  theory at heart, as best they can, what they generally miss is Darwinian theory on how an ecosystem evolves and adjusts its environment to maintain crucial hydrological functions. If this active agent is not reflected in our models, then they miss essential physics.

However, let me divagate on their concepts and ideas, and debate first, the concept of what Physics is (related to modern Hydrology). In the wide, general sense, Physics is the study of nature, however, it has codified during the last centuries, since Galilei, as a science that uses experiments to validate (I know the danger in using this verb) some theoretical issue about the behavior of some phenomena. One key aspect of Physics is the the word experiment, which means that we have something to measure (a physical quantity) and tools to do it (instruments). Repetition of experiments and confirmation of outcomes, and establishing (mathematical) relations among quantities, brings to laws, Physical laws. 
I am aware that each one of the words in the paragraph above would require a book to be dissected, analysed in its historical development, and in fact this was done.
Physics and or “Physical Sciences” have evolved to specialise people. Someones are inclined to work on the theory, others to design experiments. Theory, in turn, means that there is some formal (meaning following unambiguous rules to process statements and precise definitions) language that expresses relations among things, quantities, the latter being closely related to what is measurable (i.e. to the ability to build tools to detect something). The entanglement between theory and measures (or the possibility to do some measurement, even in a “virtual” or “thought” way, or with tools that are not existing but can be conceived) is inextricable. 

So when Peter Eagleson  claim for hydrology as a (separate) physical science, I believe he meant that  there was the technology for implementing measures and a “corpus” of “mathematics” to be able to process and forecast hydrological facts, and doing it properly. 

During its history, Physics has changed and enormously expanded its field of interest. Galilei started with the motion laws, and continued with planets, attitude that Newton brought to a first completion. Optics came in, then electricity, electromagnetism, quantum mechanics, quantum electrodynamics, chemistry, thermodynamics, to name a few areas. 

The lighthouse, were always the “mathematical” approach in describing the world, and repeatable experiments to confirm the findings, and development of mathematics and of measurements techniques went along with it.  Besides,  another reference were conservation laws: mass, momenta, and energy (charge, and so on). 

So we can say that hydrology is a physical science, for instance,  also because it uses mass conservation law. In this sense, any of models presented in the paper by S&H are physical.  However,  a judgment on their assertions can be obtained by asking which is their “mathematics” and what do they measure.  


To be fully respectable, we would expect that authors of a physical model were concerned also with momentum conservation and energy conservation, but actually, if we would add this requirement, almost no hydrological model would be a physical model^1.  

If we accept the beginning phrase, according to its Authors thinking, we should become more physical being more “Darwinian” too. However, Darwin was, as everybody knows,  a biologist^2, or better, maybe, a "natural scientist".  I believe the Authors are right when they claim it but Schroedinger, in his “What is life”, was more concretely a physicist facing biology and his claiming that the approach of Physics could be applied also to life offers a strong counterexample that the Physics approach can be applied to Natural sciences, maybe pushing beyond the present limits the actual science. His work was inspirational for many and can be inspirational even now for doing research in hydrology. With its obsolescence, it is a gigantic conceptual contribution, and I suggest my students to read it, to get the fundamentals of what arguing about Physics is.

Going to some detail, S&H seem to claim that the hydrosphere obeys a homeostatic behavior, which seems to self-regulate and affect earth as much as possible, to maintain the conditions that sustain life. This is reminiscent of the Gaia hypotheses^3.  The difference in scale from hillslope hydrology to the global earth should be taken into account though.  
Furthermore, I think we have some realistic hints that the system (Gaia) can be broken, and therefore, I believe, that the evolutionary conditions that the many claim to be a possible guide to build new paradigms of models are valid under the assumption of a certain degree of equilibrium, that is far from being evident in this climate change era. In other words, the hydrological cycle and the ecosystems could be out of balance.
In any case, homeostasis can exist if feedbacks, which physical models should be able to capture, exist. Where is the mathematics for doing it ? I am not sure that arguing by adding reservoirs could be enough to capture intertwined behaviors, but, I admit, they are a starting point (I already kind of wrote it).  Frankly, I think the way inaugurated by Ruddel and Kumar is much more visionary and we should push on that side of research, instead that sticking only with a trial and error (remove and put) guided by uncertain measurements and weak modeling abilities. IMO, future is in network mathematics not reservoirs assemblage.  

S&H cite Aristotele, and they have good reason for doing it. Our hydrology is, maybe,  a physical science but often we can just observe the phenomena, not control them, as Galileian experiments would require. So we are lame in our trials, and immersed in dim light, not exposed to the full splendor of the Knowledge. Statistics is necessary to to disentangle measures and observations. Causal relations are often less than obvious, and as all we know, "correlation does not mean causation". All this fuzzines makes the matter prone to exciting but ineffective narrative  that usually starts with the word “holistic” (BTW a word I like too) and continues by saying that “the whole is more than its parts” but  most of the time does not continue with a proper fomalisation of what  "holistic" is and how this damn “whole” can happen. So maybe, he was very wise Galilei when he said to his Aristotelian antagonists “Io stimo più il trovar un vero, benché di cosa leggiera, che 'l disputar lungamente delle massime questioni senza conseguir verità nissuna. ” (I like more to find a truth in a small subject than discuss long time of general subjects without obtaining anything”)

I think that an interesting working hypothesis is that "the whole is the sum of its parts and the interactions among the parts", and that part of the quality of the system, seen as a whole, derives from parts' interactions and feedbacks. A system is itself a quite unidentified entity, and its definition is certainly recursive, meaning that, most of the time, a system is a system of systems, and reality is “stratified”.  But having a "basic system" at some scale should be feasible.

Finally, where is falsification ? Falsification is certainly a characteristic of a scientific enterprise, and therefore of Physics. Certain theories seem to me missing of the precision needed to obtain a proper falsification, and S&H should be more convincing on that side. On the contrary, Pete Eagleason book, Dynamic Hydrology, probably the best book ever in Hydrology, after fourty five years is “all wrong”, the right sense of wrongness. That’s science, that’s Physics !


P.S. - Another attitude I would not spread (S&H are affected) is to see remote sensing as an “oracle” which gives the right answer without paying debts to uncertainty and unknownness. I already wrote about. 

NOTES:

^ GEOtop is one of the few notable exceptions.

^2 - I remind an ironic slides by Per Bak with written: "is biology too difficult for biologists ?" Here the worth of retaliation hits.

^3 About the Gaia hypothesis an eminent colleague said “ … Are they testable ? Are they useful ?“ (IMHO:  useful, they were …)



Wednesday, December 16, 2015

An overview of my research and my future envisioned work. My professorship talk

I was finally asked to do this talk, that cover my research experience, for my Full Professor appointment here at the Civil, Environmental and Mechanical Department of the University of Trento.  This the abstract:
In this talk I will cover, in brief, my last 25  years of research through my main contribution in surface hydrology, river network evolution, hyperresolution and travel-time modelling of hydrological processes, hydroinformatics. Life means “my academic life” but also some recent orientation I am taking to model the non linear interactions in the water cycle. These include plants and ecosystems, which I believe will be my next research objectives, which I will pursue with the use of my model infrastructure, based on evolving  GEOtop and JGrass-NewAGE.  I will talk a little, maybe, of thermodynamics,  hydro-informatics, and optimisation principles in natural processes (I see that I do not have a post, on this, I will do it). A little on Cryosphere processes will not be absent.


Clicking on the Figure, you will be linked to the slides of my talks (with links to literature). The talk, unfortunately is in Italian: but the slides are in English. Below, please find the youtube.

Wednesday, March 4, 2015

To early stage hydrologists (ESH)

Dear ESH,

you ask me to advise a young hydrologists. I just think that  he/she needs a master, first. I had the fortune to work at the beginning with Alessandro Marani, and subsequently Andrea Rinaldo and Ignacio Rodriguez-Iturbe. They had strong ideas on what is “the gold medal” that we have to gain, and had their own methods to pursue it (get ideas, get methods!). So, at least for me, the matter was to follow their own inclination, challenging myself to follow them, and see how much I liked it. 

So my first hint is: look for (one) some masters. You soon realise that some guys (or some places) are far far beyond the present state-of-art of the topic you are caring about.  Try to work with them. If you cannot, try to follow them and see what they do,  and understand what they think it is important. 


Copying from “smart people, can help you to save a lot of time, and avoid to spend huge time resources following unimportant topics.   In my academic life I saw very many “brilliant” guys (gals) spending their youth and hundreds of hours on irrelevant problems. However, if you do not give up, you will get the hot topic (and the people) that copes with you. The research company you get along, is going to stick with you for all of your life, and change you, especially  if you start an Academic path.

Not very much, indeed (meet the right people!), as an advise, but in a previous post you can find my decalogue for a hydrologist that can complete the topic.

Monday, October 24, 2011

The presentation I gave last friday in Montpellier

I was guest of Roger Moussa, and in the committee of the graduation of  Dennis Hallema. My talk summarize my efforts in modeling except the recent Boussinesq equation related work. The title was
The main ideas is that we need different types of models for different scopes, and that this models can be implemented with sound informatics, and without having to redo it again from the scratch. The talk, in a sense, complements the post I made on my future research activities, by specifying the "methods" with which I will envision to do them.  Many live for the motto: getting the right answer for the right reason. I support the idea that for getting the right answer you need sound models. The link under the picture will bring you to the presentation. 

Sunday, June 12, 2011

Research topics for my next 20 years

These are the research topics I posted on the call for the doctoral school of Trento (but I update regularly this post -last update is dec 2014). Who wants to know what I did (the basis to know what I will do) can find my papers and my past research topics  here.
I try to contribute to hydrology theoretical development, build tools, and apply them to some case studies (others make mainly experiments or field work: and I appreciate a lot  their work. But I will never become what I am not: if you want to deal with experiments and field work, you possibly waste your time with me). So students can get the best from me if they have attitudes that get along with my inclinations. Cause of  personal attitudes, programming skills, or the will to pursue them,  are necessary to work with me. I use  C/C++, R, and Java, and I made some posts to help people to become a little more familiar to some of these tools (R here, and Java here). Other good tools exist: but do not blame me if I do not use Fortran or Python. I did this choice long time ago and I am still convinced it was not wrong.
I produce models, free models, and  it is intended that all the tangible work in programming and tools of anyone working with me  must be free software.

Hillslope hydrology, landslide and debris flow triggering, and erosion thresholds

The goal of this research line is to develop and assess models of shallow terrain instabilities through mathematical and numerical modeling, and the validation of models by means of conceptual and field experiments. These last will be prepared jointly with other institutions, in particular we have an ongoing collaboration with Bologna University for some basins in Val di Fassa, where several data were collected, USGS (Jonathan Godt) and School of Mines (Ning Lu). To get an idea of what I am talking about, you can give a look at this post.

The basis of the research is the use of GEOtop 2.0 and GEotop-SF and their improvements. With regards to hillslope hydrology the issues right now seem to have a reasonable model (or mapping) of the soil depth, a reasonable way to represent it within the constraints of a grid, and the characterization, at the grid cell size, of the relevant hydrological parameters (for which we have some hints deriving from soil scientists).

Besides covering hillslope hydrology issues, this research is intended to move from the simple assessment of triggering through the infinite slope stability model to model of propagation and self-organization  of the stresses within hillslopes, and implementing Jonathan's and Ning's new theories.

The candidate needs also to develop tools and techniques for the assessment of the boundary and initial conditions necessary to drive the models and perform innovative statistical analysis on the spatio-temporal patterns produced by the models.

My past research on this topic can be found here.

Distributed Modelling of the Hydrological Cycle at large scales, hydrological predictability and data assimilation

This regards mainly the development of the  JGrass-NewAGE for the complete closure of the hydrological budgets, in medium to large scale modelling. This requires the implementation and testing of new physical-statistical model of the various terms of the hydrological cycle, and their application to case studies at the scale of hundreds to thousands of square kilometers. At the  moment the model has a first implementation of all the processes that is going to be thoroughly  tested, and the main interest in this research is to go beyond the simple forecasting of hydrological quantities (in space-time) to achieve  the estimation of error bounds in the predictions with the application of appropriate calibration methods, and data assimilation procedures.  The doctoral work is intended to achieve also the application of models and tools to real cases (as for instance those provided by the DMIP2 project).

My past research and further insight on the topic can be found here.

Distributed Modelling of the Cryosphere

This study involves the modelling and forecasting of the evolution of the snow cover working with the model GEOtop. Previous Ph.D researchers implemented a one dimensional energy budget of both the snowpack and freezing soil. They also posed the bases for further theoretical and numerical improvements of the model, to a 3D version, and eventually including also different constitutive relations, which could be pursued in this research.
The present proposal is especially dedicated to include (or embed) GEOtop modelling with a data assimilation system dedicated to real-time forecasting of the snow cover, depth, and status. The Ph.D. work could be oriented to assimilate either ground data than remote sensing data.

The work will be made in coordination with Mountain-eering S.r.l, a spin-off of the University of Trento, and Stephan Gruber of University of Carleton (CA). 

Starting point for this work is, at the moment, Matteo Dall'Amico Ph.D. thesis and the paper Dall'Amico et al., 2011, which I consider one of my milestones.

Information about my research on Cryospheric processes is here.

Theoretical and Numerical studies about the non equilibrium thermodynamics applied to Hydrology


Hydrology is a thermodynamical science. Each of its fluxes is waiting for a proper assessment which ties together non-equilibrium thermodynamics, and sound fluid dynamics. Little steps in this direction were already made in studying the interaction and the phase change in frozen ground, but remaining essentially in the framework of the classical quasi-equilibrium thermodynamics. Consistent steps can be made actually for most of the processes, including evaporation and transpiration,  flow in soil and groundwater, and freezing soils, building upon rational thermodynamics of irreversible processes, and the mesoscopic thermodynamics.  The theoretical work, if possible, should be completed by appropriate numerical work. It is intended that all the tangible work in programming and tools produced as free software, and using free software.

Implementation of new methods for integrating Navier-Stokes (NS) equation in rugged terrain

Having a nice and suitably implemented method of integration of NS equations is seen as the natural complements to what done so far within GEOtop.  Evapotranspiration, snow deposition, the simulation of soil temperature, all require that the interactions with the low atmosphere must be well resolved. The only way I see for doing this is adding a module that solves for turbulence. This work will be pursued in conjunction with Dino Zardi and Michael Dumbser, two outstanding colleagues of my own Department, and Michi Lehning of SLF in Davos and Ecole Politechnique of Lausanne.

There are no previous results on this topic, however, some preliminary work was made.

HydroInformatics for Hydrology

I want to investigate the theory and practice of hydrological modelling under the light of modern software engineering. It is a fact that increased knowledge about processes has not been paired by an adequate development and quality of the software that deploy it in software and models.
Software quality has been overlooked for long time, and has relevant consequences on the daily activity of scientists (not only hydrologists), especially those who use numerical models to interpret experiments,  do forecasts,  and falsify hypotheses
The bad quality of software also causes serious obstacles to the real understanding and independent  analysis of the algorithms used, and makes overwhelming difficult, if not impossible, the replicability and the reproducibility of any result, thus undermining the foundations of the scientific method. 
Beyond the scopes of traditional software engineering, or  making easier cooperative  programming, enhancing the clarity and efficiency of codes, making easier software maintenance, hydroInformatics 
applied to science, must solve the issue related to documentation of algorithms and to develop “design patterns” specific to science and hydrology,  promote replicable and reproducible research


In practice this means to enhance the system that is already at the base of JGrass-NewAGE and individuate design patterns for solver of differential equations compatible with the OMS infrastructure. Eventually this will bring  to a new version of GEOtop, completely interoperable with JGrass-NewAGE, parallelised, well documented, flexible and full of alternative processes description with the aim to increase the small communities working with these softwares. 

Previous work was summarised in Formetta et al., 2014 but also reading Jgrasstools requirements and David et al., 2013 can be useful.  This research will be pursued in tight connection with Olaf David and the ARS/USDA facility in Fort Collins.

Other info

Some topics were removed from here, to give a more sharp idea of what really I want to do. They pertain to my past research and/or to some past period. But they could come back sometimes. Following your own curiosity, you can find them here.

Epilogue

Motivated students are invited to contact me for a possible Ph.D. carrier or post-doc positions.  As general attitude in my research I believe that research must be reproducible, and I require the same discipline to my Ph.D. students and collaborators.