Statistical methods with application to climate variability and change assessments
Excellence course of Prof. Ramesh Teegavarapu
This course presents a comprehensive review of statistical approaches and methods that are essential for the analysis of hydroclimatic data and for evaluating climate variability and change influences but can also be of widespread interest for a general audience. The course emphasizes three main issues: (1) data analysis, (2) statistical methodologies, and (3) application of techniques. The course provides an exhaustive background and in-depth review of exploratory data analysis, statistical (both parametric and nonparametric), and data mining methods to evaluate changes, trends, anomalies, and extremes detection and appropriate treatment. Applications of statistical methods and practical laboratory work with real-world data for climate change and variability assessments will be part of this course.
The lessons will be provided as an online course, through “Portale della Didattica”. However, students will have the opportunity to attend in course in presence.
Programme - 20 hours
06/06/2022 09:00-13:00 - Lesson 1: Understanding Hydroclimatic Data: Climate Change and Variability
07/06/2022 09:00-13:00 - Lesson 2: Parametric Statistical Methods
08/06/2022 09:00-13:00 - Lesson 3: Non-Parametric Statistical Methods
09/06/2022 09:00-13:00 - Lesson 4: Climate Variability Evaluation
10/06/2022 09:00-13:00 - Lesson 5: Climate Change and Stationarity Assessment
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