**February**

- 2018-02-27 - T - (a) Syllabus; (b) Explaining how to use the Open Science Framework for this class.- (c) Short introduction to hydrology - Homework: Installation of Python and Jupyter . Videos of the class are here.

**March**

- 2018-03-02 - L - A little (very little) of GIS (for those who do not know anything about GIS). Where environmental data comes from.
- 2018-03-06 - T - A little of Statistics and Probability. (YouTube 2018 contains the video of the lectures below)
- Descriptive Statistics
- Statistics' statistics
- Further readings on Statistics (see also here)
- Probability's Axioms (optional)
- Distributions
- Further readings on Probability
- 2018-03-09 - L - Introduction to Python with Jupyter (We mostly use the three notebook below):
- Una introduzione gentile al Python scripting (mostly a translation from JE lectures
- Leggere un file con PANDAS (e plot dei dati con Matplotlib)
- Pluviometria Paperopoli
- Further resources are available in this other post.
- 2018-03-13 - T - Ground based Precipitations and their statistics Separation snow-rainfall - measure of precipitation
- A general overview (YouTubeVideo)
- Separation rainfall-snowfall (optional)
- Statistics of ground precipitations (YouTubeVideo)
- Intensity-duration-frequency curves and return period (YouTube: Return period, IDF)
- Gumbel distribution for extremes (YouTube)
- 2018-03-16 - L - Intro to Python - Simple statistics - Empirical distribution functions - Statistical distributions - Extreme precipitations datasets
- Gaussian Distribution
- Central Limit Theorem Illustrated (and some other distributions)
- Gamma Distribution (and some other further Python)
- 2018-03-20 - T - Extreme precipitations. Return period. Distribution of extreme precipitations.
- Determination of Gumbel's parameters
- Test di Pearsons/Chi square (YouTube)
- More formal on Pearson's Chi square (YouTube)
- Generalised extreme value distribution
- 2018-03-23 -L - Estimation of Extreme Precipitation with Python
- Exercise: Using the examples of the last Lab, draw a Gumbel distribution.
- Exercise: Select randomly from a Gumbel distribution and empirically shows the effects of the central limit theorem.
- For estimating the Gumbel distribution parameters:
- 2018-03-27 - L - Extreme Precipitations estimation Personal work under the assistance of tutors
- Where to get the data
- Estimating the intensity-duration-frequency curves

**April**

- 2018-04-06 - L - OMS console - Installation and description. GEOframe modules. Problem solving.
- 2018-04-10 - T - Radiation on Earth surface
- Radiation
- The Sun
- Stefan-Boltzmann law and radiation spectrum (YouTube)
- Sun to Earth (YouTube)
- Coping with latitude and longitude (YouTube)
- Atmospheric Absorptions (YouTube)
- Clouds (YouTube)
- Coping with terrain (YouTube)
- Long wave radiation (YouTube)
- 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
- 2018-04-13 - L - Estimation of radiation in a single location and over an area with GEOframe tools.
- Working with GEOFRAME as a User (YouTube)
- Reading and analysing GEOFRAME i/o files
- Reading a OMS-GEOframe file
- Github (Shortwave, Longwave, Clearness Index, NetRadiation)
- GEOframe (Shortwave, Longwave, Clearness Index, netRadiation)
- Reading and analyzing the outputs
- 2018-04-17 - T - Spatial interpolation of environmental data
- Interpolation of environmental quantities (YouTube)
- A little of Kriging Equations (YouTube)
- More on Variograms (YouTube)
- Further lectures
- 2018-04-20 - L- Estimation of areal precipitation and temperature with GEOFRAME-SIK
- Kriging Project (Github)
- GEOframe blog information
- Python notebook inputs
- Python notebook outputs
- Intermediate Exam. any students will have to respond to two questions randomly chosen among the 23 ones and to one of the five (with little variations) about Python. Python's scripts can be code snippets with the main information, not necessarily running codes.

Grades/Voti Prova in Itinere

If you are interested, here you can find the statistics on your answers to the survey on the first part of the course.

If you are interested, here you can find the statistics on your answers to the survey on the first part of the course.

**May**

- 2018-05-06 - L - Problem solving lab class
- 2018-05-08 - L - Problem solving lab class
- 2018-05-15 - T -Water in soil. Darcy-Buckingham. Hydraulic conductivity. Soil water retention curves.
- Soils (YouTube 2017,YouTube2018)
- Texture and Structure of soils (YouTube 2017, YouTube2018)
- Aquifers (optional)
- Definitions (YouTube 2017,YouTube2018)
- Darcy-Buckingham law (YouTube 2017, YouTube2018)
- Soil Water RetentionCurves (YouTube 2017, YouTube2018)
- Hydraulic Conductivity
- Further readings
- 2018-05-18 - L - Soil Water Retention Curves - Hydraulic Conductivity
- 2018-05-22 - T -Richards equation and its extensions
- Mass conservation - Richards equation (YouTube2017)
- Notation Summary
- Further Readings (or view)
- Pedotransfer Functions - (YouTube2017)
- Simplifications of Richards 1D (YouTube2017)
- Phenomenology of infiltration (according to Richards equation) in a hillslope (YouTube2017)
- Macropores
- Water Tables equations
- Water in soils measures
- Older presentations, slides and Audios
- Video talk given at a Summer School
- A lecture on this topic at Todini's Symposium (a little advanced)
- Preferential flows
- Bimodal Water retention Curves
- An R package for getting soil hydrology
- About the Petri Net representation of Richards 1d
- 2018-05-25 - L - Simulations of 1d infiltration with GEOframe-Richards-1d
- Richards 1d (YouTube2018)
- Quick start information (YouTube2018)
- Soil Water Retention Curves
- Hydraulic Conductivity
- Github place
- GEOframe blog information
- Python notebooks
- 2018-05-29 -T- Elements of theory of evaporation from soils

**June**

- 2018-06-01 -L-
- Evaporation thermodynamics (YouTube2017,YouTube2018)
- Definitions (YouTube2017,YouTube2018)
- Turbulent transport of vapor (and other quantities): the Dalton law (YouTube2018)
- 2018-06-05 -T-
- Soil evaporation (YouTube2017, YouTube2018)
- Transpiration (YouTube2017, YouTube2018 I, II)
- Evaporation as energy transport (YouTube2018)
- Penman-Monteith (YouTube2018)
- Ecosystems (Optional)
- 2018-06-08 - L - Experiments with Richards 1d
- 2018-06-12 - Focus Group on Hydrogeological Risk
- 2018-06-15- T - Experiments with Richards 1d (understanding runoff generation)

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