Tuesday, September 19, 2017

Evaluation of Dr. *** work and research. For getting tenure

It often happens that an Academic is asked to assess his/her peer work. This below is an example of one letter that I made recently. However, in boldface I put comments in a less traditional language that I think would give more insight with respect to the letter I actually wrote both to people who judge the researcher. Here you find it below:

The short answer to your Institution request is: there is no doubt that Dr. *** deserves to get his/her tenured position, s/he is one of the best in the world in what s/he does.

C: The short answer is: this man/woman is damned good. S/he is far above the average and you would be stupid not to keep him/her.

The long assessment is easy too. My own research work intersects very much with Dr. ***'s one. So I came to know and follow her/his production since ten years ago. Her/His paper are among those I cited more frequently in my recent research and s/he is one of the two or three researchers younger than me that I believe it is necessary to follow when working on hydrological modelling.

C: I do not need to read her/his papers. I already read and frequently cited her/him. So: s/he is good. S/he regularly publish just on the best journals. S/he has a rate of citation slightly than mine. So, maybe s/he is better than me. Stop. 

S/he also publish regularly with some of the best researchers in the field and this does not usually happen to everyone.

C: S/he is well connected. The group s/he frequents is extremely good but tends to be self-referential. This exposes her/him to the threat to follow the main stream (which helps in publishing) and not be a paradigms breaker (which could be hard to sustain). However, if s/he is smart, as I believe, s/he will avoid the pitfalls of situation.

Finally her/his DUPER environment is a milestone in recent literature.

C: Her/his framework is damned good. It is one of the main contenders of mine. If I would be a super rampant guy, I would try to obstacle it. But I am a professor (sigh).

It happens, obviously, that I disagree on some details of her/his research, but this is matter of normal dialectics between peers.

C: S/he made some choices different from mine and sustains them with some statements that I judge debatable. But respect to the shit I see around there is by far no competition. 

From the recent papers s/he chose for evaluation, I could see that s/he also enlarged her/his view on using Bayesian techniques for estimating model’s parameters.

C: S/he is able to understand where the fashionable stuff is. This attitude does not produce science by itself but for sure is one of the characteristics that good Academics must have at least a bit (sometimes to avoid to follow fashionable stuff).

His/Her approach is sophisticate and requires certainly some deepening from myself, but I could appreciate its novelty.

C: The last paper is really technical and if s/he insists too much in this direction s/he can fall into hydrological matematistry

Whilst her/his initial production reflects also %%%% view of the matter, it is quite clear now what is Dr. *** own contribution and evolution.

C: Her/his former and influential boss quite determined her/his initial research, but s/he seems having coming out from her/his boss old fashionable approach, which was not up-to-date and could have brought her/him to produce crappy stuff. Which was not. 


To summarise, when s/he writes: "My research areas in catchment modelling can be broadly classified as: (1) the development of flexible models,which provide the building blocks for the construction of models, (2) the formulation of guidelines for model development, and (3) the use of models to interpret catchment behaviour and to produce reliable predictions. Through these research areas I have contributed to important developments in hydrological sciences in the past years, such as the use of models for hypothesis testing, the incorporation of experimental knowledge inthe modelling process, and the understanding of large scale hydrological processes and their controls.”, s/he give an image of her/himself that I fully share and think is appropriate.

C: S/he knows what s/he is and does. S/he is ready for his role. 

S/he individuates three areas of progress for his research: a) Flexible models development; b) Theory of (hydrological) models developments; c) Understanding and prediction of catchment behavior.

C: This intersects with my activities, that’s why I reformulated the name of her/his second area of interest. My, I think, is more appropriate. 

Recently there was, among many colleagues, the idea that the topics of surface hydrology were mature and that research has to move to hybrid fields like socio-hydrology, eco-hydrology (with an accent to ecology more than hydrology), ecosystem services and so on.

C: Most of colleagues, even gifted ones, tends to give for granted was is actually not (at all).

With respect to these new, certainly exciting directions, the focus of Dr. *** seems quite traditional. However, I fully approve it. The kind of research s/he is pursuing is fundamental and necessary after years of blown dilettantism that has relevant consequences in research and practice.

C: With respect to these topics most colleagues are either wrong or superficial. (Someone has to use these occasion to push out his frustration). 

Conclusions and extension obtained from ill-conceived concepts, improperly used models, and lack of hypothesis testing brings to wrong interpretations of hydrological facts and can have negative consequences on engineering applications and cause the choice of wrong policies.

C: They use wrong findings based on misconceptions and move to new subfields with wrong information. GIGO

Dr. *** work is important and its importance is going to become more and more clear in the next years. Hopefully just a few model infrastructures will emerge from the present fragmentation, and I believe the one from the evolving work of Dr. *** will be in the group.

C: Just a few framework will survive when people finally will understand the limits of hydrological dilettantism. Possibly the work of this researcher will survive and for sure, it will do for the next decade.

Probably, If I would be her/him, I would try to broaden a little the perspective including, besides the hydrologic response, the whole set of hydrological processes that concern catchments’ budget more seriously, and, in particular, evapotranspiration that, in some environments covers even sixty per cent of the water budget.

C: Engineers, even some ecohydrologists, are obsessed with discharges. These are just a part of the game. Future frameworks have to play the full game.

I would also devote some attention to the approach with travel time distributions which could open new perspectives in modeling of nutrients and pollutants, a field which Dr. *** already came across.

C: S/he forget some fundamental aspects concerning her/his own area of interest. S/he should not.

Finally, I have no doubt that Dr. *** will continue to improve and bring great contributions to your Institution.

C: I criticize her/him as I do with those I really like. S/he is a good person. Everybody can work with her/him and have benefits. They know that they want to keep her/him and I appreciate it. This will made her/him more free and more brave.

Wednesday, September 13, 2017

A smooth introduction to some Algebraic Topology topics

Since the previous post on Grids touched some topics on algebraic topology, I  selected a few sites where I found some interesting information from our point of view that can help the reading of the previous slides and, in general, of the references already presented.

I do not share many of Tonti's opinions, but some of his talks and books are, indeed, enlightening.

Monday, September 11, 2017

Meshes, Grids, CW-Complexes

Representation of space (and time) is a necessary step to implement any Physics. However, the topic is seldom faced with the appropriate generality, and this reflects into implementations in softwares that do not have a general structure. This is the rational for talking here about meshes or grids.
From a quick view of the material found in literature, it appears that a lot of work has been done, by few people (group). There are at least two pathways to follow. The first is the Ugrid mesh specification. We can describe it as the classification work of mesh by power users, i.e. people who use meshes for describing (especially environmental) numerical problems. Their work is concentrated on semantics and explaining what the mesh are,  with the scope to insert them in NetCDF, a self explaining file format conceived to contain environmental data.
The second approach, in Berti (2000) starts from more fundamental mathematical work which is also used in Heinzl (2007, but referring to the paper Heinzl, 2011, could be convenient).
In general, the first two chapters of Berti’s dissertation are a must-to-read for those who deals with scientific computing.
A subsequent number of papers cover two topics: how to store mesh in databases and how to give to these structures the right flexibility to be parallelized. Interestingly some of the mathematical work actually flowed into the creation of C++ libraries, in particular the GRAL libraries, developed by Berti himself.

https://www.slideshare.net/secret/2TufpeFQeb62FR

Browsing around, mesh are rigorously defined in Algebraic Topology (e.g. Hatcher, 2001) and this was  recognized in various papers, since the sixties (e.g. Branin, 1966, and references therein). A general discussion, which involve the nature of Physical laws, was produced by Tonti (2013) and somewhat pushed also by Ferretti (2015).  These treatments could bring in the matter some new insight and the general understanding. What we did with the slides was to try to synthetize some of the above work, especially in view of an implementation of some Java libraries. The idea suggested by the readings was to use generic programming, design patters (Gamma et al, 1994, Freeman et al., 2005) and programming to interfaces (which BTW we already have in mund: we found what we were looking for). 
But the detail of the implementation will be the topic of a future post (but you can have a glance to literature browsing the bibliography below). Now get (a little of) theories by clicking on the figure above.

References
Notes

Some of my  students asked for somewhat a milder introduction to algebraic  topology.  I dedicated a new short post to it.

Friday, September 8, 2017

Weather Generation (according to Korbinian Breinl)

How one can reasonably cope with simulating future hydrometeorological forcing for hydrological purposes ? Clearly, since meteorology is dominated by unpredictable phenomena (in the sense of chaotic ones) and we cannot pretend to simply use forecasts, when we are looking just a little far away. An option would be to use climatic models and doing dynamic downscaling of their outcomes. The previous lecture given by Jeremy Pal (GS), followed this research path. However, we can produce statistical weather scenarios using stochastic weather generators (SWG) too, once  we have an idea of what will be the mean characteristics of such system.
Literature is full of SWG that covers mainly temperature and rainfall, but it seems there exists systems also that covers other meteorological variables, like wind and radiation.
Today we had a talk on the subject given at our Department of Civil, Environmental and Mechanical Engineering given by Korbinian Breinl. He is at present a post-doc at Uppsala University with Giuliano Di Baldassarre (GS) and we are collaborating in the SteepStreams project.

https://www.slideshare.net/secret/3mSM1qPLUj4BMR
As usual you can find his presentation by clicking on the figure above.

Besides flooding (and solid flooding) which is one of the scopes of the projects, I hope we succeed in modeling all the main components of the hydrological cycle by a combine use of Korbinian’s Generator and JGrass NewAGE. I have also the video record of his presentation, but not yet the approval to share it publicly on YouTube. However you can ask it to me writing to abouthydrology @ gmail.com.

Korbinian's generator is written in Matlab, and it is available through Github.

Please find below a reference list which include, besides Korbinian’s one, some other references that I could gather through time.

References

Other available codes

Thursday, August 31, 2017

A flexible approach to the estimation of water budgets and its connection to the travel time theory

This blogpost contains the Marialaura Bancheri (in this blog) dissertation for ending her doctoral studies. There is a lot of material inside that goes from how to do better hydrological models,  to doing it, to implement and deploys some OMS3 components.  Really a lot of material.
https://zenodo.org/record/858495#.WagcLNMjHwc

Clicking on the figure above, you can access the draft of the manuscript uploaded on Zenodo.  Here below, please find the Abstract of the manuscript:

Abstract

The increasing impacts of climate changes on water related sectors are leading the scientists' attentions to the development of comprehensive models, allowing better descriptions of the water and solute transport processes. "Getting the right answers for the right reasons", in terms of hydrological response, is one of the main goals of most of the recent literature. Semi-distributed hydrological models, based on the partition of basins in hydrological response units (HRUs) to be connected, eventually, to describe a whole catchment, proved to be robust in the reproduction of observed catchment dynamics. 'Embedded reservoirs' are often used for each HRU, to allow a consistent representation of the processes. In this work, a new semi-disitrbuted model for runoff and evapotranspiration is presented: five different reservoirs are inter-connected in order to capture the dynamics of snow, canopy, surface flow, root-zone and groundwater compartments.
The knowledge of the mass of water and solute stored and released through different outputs (e.g. discharge, evapotranspiration) allows the analysis of the hydrological travel times and solute transport in catchments. The latter have been studied extensively, with some recent benchmark contributions in the last decade. However, the literature remains obscured by different terminologies and notations, as well as model assumptions are not fully explained. The thesis presents a detailed description of a new theoretical approach that reworks the theory from the point of view of the hydrological storages and fluxes involved. Major aspects of the new theory are the 'age-ranked' definition of the hydrological variables, the explicit treatment of evaporative fluxes and of their influence on the transport, the analysis of the outflows partitioning coefficients and the explicit formulation of the 'age-ranked' equations for solutes. Moreover, the work presents concepts in a new systematic and clarified way, helping the application of the theory.
To give substance to the theory, a small catchment in the prealpine area was chosen as an example and the results illustrated.
The rainfall-runoff model and the travel time theory were implemented and integrated in the semi-distributed hydrological system JGrass-NewAge. Thanks to the environmental modelling framework OMS3, each part of the hydrological cycle is implemented as a component that can be selected, adopted, and connected at run-time to obtain a user-customized hydrological model. The system is flexible, expandable and applicable in a variety of modelling solutions.
In this work, the model code underwent to an extensive revision: new components were added (coupled storages water budget, travel times components); old components were enhanced (Kriging, shortwave, longwave, evapotranspiration, rain-snow separation, SWE and melting components); documentation was standardized and deployed.
Since the Thesis regards in wide sense the building of a collaborative system, a discussion of some general purpose tools that were implemented or improved for supporting the present research is also presented. They include the description and the verification of a software component dealing with the long-wave radiation budget and another component dealing with an implementation of some Kriging procedure.

Wednesday, August 30, 2017

OMS 3 essentials

I am collecting here some essential information about the Object Modeling system v3.

The papers to start with:
David, O., Ascough, J. C., II, Lloyd, W., Green, T. R., Rojas, K. W., Leavesley, G. H., & Ahuja, L. R. (2012). A software engineering perspective on environmental modeling framework design: The Object Modeling System. Environmental Modelling and Software, 39, 1–13. http://doi.org/10.1016/j.envsoft.2012.03.006

To have a recent overview of the subject jointly with our GEOframe stuff, one can also give a look to Marialaura Bancheri's dissertation.

OMS general

OMS console installation:

The Hello world example:
https://contemplatingmontessori.wordpress.com/2011/11/14/platonic-solids/

The source code can be found at:

Project:
https://alm.engr.colostate.edu/cb/project/oms

Repos:
https://alm.engr.colostate.edu/cb/repository/19257

Our development regarding the Net3 (Francesco Serafin's work):
https://alm.engr.colostate.edu/cb/repository/24720

Other information in the material of the Summer Schools or (in Italian) among the material of 2017 hydrology class.  I need some time to sort it out. The inpatients can help me.

Hopefully they will merge soon in an official release.  All the repo at present require a password that can be asked to Olaf David (odavid <at> colostate. edu) col.

Friday, August 18, 2017

Some About the World Bank Actions related to Water Resources


One former University of Trento student who eventually moved to Cambridge, Anna Cestari, is since many years working for the World Bank. Having the occasion to have her Trento, I asked her to give a seminar on the activities and the projects of the World Bank. What she said for the general activities is actually what is also summarised in the World Bank Brochure
https://www.youtube.com/watch?v=-EFZ1r18xuA
 However, she gave also talked a little about the Virtual Water problems, how much is water demand of Agricoluture, and some other details about what she finds in developing countries. Water availability has so large implications for any of us and our society. Certainly Global Hydrological Models, or regional ones, can help to sort out the numbers  that are required to build the statistics she presented, and to build infrastructures with informed data.