I made this because of the large endorsement Python had among hydrologist and because:

- its object oriented structure is much more firm than the R one.
- Besides, Python seems to be easy to learn by engineering students.
- Some of my colleagues seem to agree to converge toward the use of Python in their classes

Here it is the foreseen schedule of the class:

Corso di Idrologia 2017

Legend: T - Theoretical lecture - L - Laboratory class (this can include theoretical parts, but mostly students will exercise with tools)

- T - Introduction to the class.
- Water on Earth (optional).
- The hydrological cycle (YouTube)
- The hydrosphere parts (optional).
- Modern hydrological information (YouTube).
- The water budget (YouTube).
- The energy budget (YouTube)
- Fluxes, Reservoirs, Residence times (optional)
- The Budyko scheme.
- Further Readings
- T - A terrain analysis primer.
- Elevation, Slopes, Curvatures. (YouTube)
- River network delineation.
- Contributing areas.
- Geomorphic laws (optional)
- Further Readings
- L - Introduction to QGIS. Introduction to the JGrasstools in OMS.
- T - A little of Statistics and Probability.
- Descriptive Statistics
- Location indicators (YouTube)
- Form and Shapes of data
- Tests of hypothesis
- Stationarity And Ergodicity
- Further readings on Statistics (see also here)
- Probability's Axioms (optional)
- Univariate distributions
- Further readings on Probability
- L - Delineation of catchments' characteristics with JGrasstools and QGIS.
- T - Precipitations. Mechanisms of formation of precipitation. Ground based statistics. Extreme precipitations.
- See the points 6 to 11 in this post.
- Further readings (Point 1-5 and 17 in the Precipitations' post)
- L - Intro to Python - Loading/reading files. Time series and their visualisation. (See Notebook 0 an 1 here.)
- T - Extreme precipitation statistics (parameters' estimation)
- See points 12-15 in the Precipitations post
- Further readings (Point 1-5 and 17 in the Precipitations' post)
- L - Estimation of extreme distributions parameters. (See Notebook 2 to 5 here.)
- T - Radiation (YouTube 2017).
- The Sun (YouTube 2017)
- Stefan-Boltzmann law and radiation spectrum (YouTube 2017)
- Sun to Earth (YouTube 2017)
- Coping with latitude and longitude (YouTube 2017)
- Atmospheric Absorptions (YouTube 2017)
- Clouds (YouTube 2017)
- Coping with terrain (YouTube 2017)
- Long wave radiation (YouTube 2017)
- Table of symbols
- Further readings:
- Corripio, J. G. (2002). Modelling the energy balance of high altitude glacierised basins in the Central Andes. Ph.D Dissertation, 1–175.
- Corripio, J. G. (2003). Vectorial algebra algorithms for calculating terrain parameters from DEMs and solar radiation modelling in mountainous terrain. Int. J. Geographical Information Science, 17(1), 1–23.
- Formetta, G., Rigon, R., Chávez, J. L., & David O. (2013). Modeling shortwave solar radiation using the JGrass-NewAge system. Geoscientific Model Development, 6(4), 915–928. http://doi.org/10.5194/gmd-6-915-2013
- Formetta, G., Bancheri, M., David, O., & Rigon, R. (2016). Performance of site-specific parameterizations of longwave radiation. Hydrology and Earth System Sciences, 20(11), 4641–4654. http://doi.org/10.5194/hess-20-4641-2016
- L - Estimation of shortwave and longwave radiation in a catchment (data, executables, sim files are available through Zenodo. Who is interested in the source code and further information, plese refers to GEOframe or the Github GEOframe components site).
- A brief rehearsal of the matter given by Michele Bottazzi (M.B.) (YouTube)
- Estimation of solar radiation with JGrass-NewAGE components (YouTube) by M.B. Part I
- Estimation of solar radiation with JGrass-NewAGE components by M.B. (YouTube) Part II
- T - Spatial interpolation of environmental data
- Some concepts about the spatial representation of environmental quantities (YouTube 2017)
- Simple Kriging (YouTube 2017) (This is more or less covered in Raspa work from page 75)
- More on variance and covariance (YouTube 2017)
- Further readings
- L - Practical spatial interpolation of rainfall and temperature.
- Data, sim files, etc
- Video lectures by Marialaura Bancheri (Parte I, II e III)
- T - Water in soils. - Darcy-Buckhingham law- Soil water retention curves and hydraulic conductivity.
- Soils (YouTube 2017)
- Texture and Structure of soils (YouTube 2017)
- Aquifers (optional)
- Definitions (YouTube 2017)
- Darcy-Buckingham law (YouTube 2017)
- Soil Water RetentionCurves (YouTube 2017)
- Hydraulic Conductivity
- Further readings
- L - Numerical experiments on soil water retention curves and hydraulic conductivity.
- T - Richards equation and its extensions.
- Mass conservation - Richards equation (YouTube2017)
- Pedotransfer Functions (Used during the lab 15) - (YouTube2017)
- Simplifications of Richards 1D in a hillslope (YouTube2017)
- Phenomenology of infiltration (according to Richards equation) in a hillslope (YouTube2017)
- Macropores (Optional)
- Water Tables equations (Optional)
- Water in soils measures
- Notation Summary
- Further Readings (or view)
- L - Experiments with a Richards 1D simulator
- Readme First
- Data
- Notebooks: Input; Outputs
- Explanation of the sim file (YouTube by Niccolò Tubini: Part Ihttps://www.youtube.com/watch?v=e3vGgHQXvTM and II)
- Executable, Source Code and Data
- Another Richards 1D solver
- T - Elements of theory of evaporation from water and soils - Dalton. Penman-Monteith. Priestley-Taylor
- The Thermodynamical origin of evaporation (YouTube2017)
- Vapor transport by turbulence (YouTube2017)
- Evaporation from free water surfaces (YouTube2017)
- Evaporation from soils (YouTube2017)
- Penman-Monteith (YouTube2017)
- Further Readings
- T - Estimation of evaporation and Transpiration at hillslope scale
- Transpiration (YouTube2017)
- Estimation of ET over large areas (YouTube2017)
- Evaporation and Transpiration from the energy budget (YouTube2017)
- L - Estimation of evaporation and transpiration at catchment scale
- T - Water movements in a hillslope and runoff generation
- T - On the impact of climate change on the hydrological cycle (YouTube2017)

Never seen worse made material. It would be inappropriate even for high school lessons.

ReplyDeleteGreat Anonymous, let me know why, and I will learn something.

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