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

Hydrate

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. 

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