Colin James Grudzien created this post
MetEd - Introduction to Statistics for Climatology
The effective use of climate data and products requires an understanding of what the statistical parameters mean and which parameters best summarize the data for particular climate variables. This module addresses both concerns, taking a two-pronged approach: 1) focusing on the statistical parameters (mean, median, mode, extreme values, percent frequency of occurrence and time, range, standard deviation, and data anomalies), defining what they mean and how they are calculated using climate data as examples, and 2) focusing on weather and climate variables, identifying the statistical parameters that best represent each one. The module concludes with a discussion of data quality and its impact on weather and climate products. The module is intended for forecasters and others interested in improving their understanding of the basic statistics used in climate products so they can make better use of climatology products for planning and operational purposes. Basic knowledge of meteorology is beneficial although not required. This module is part of COMET’s Climatology for Forecasters series.
This collection contains the teaching materials I used for designing the Freshman Science Seminar Mathematics 190 - A Climate of Uncertainty at UNC-Chapel Hill Fall 2013. This collection is maintained as a reference for other instructors interested in teaching about climate change using open curriculum. I made extensive use of the training modules provided by MetEd to utilize a "flipped classroom" approach. Traditional lecturing was largely replaced by assigning the training modules in this collection for homework and having my students send me their quiz scores. In class, I utilized a mix of "read and report" group presentations, discussions, roleplays, and modelling exercises on laptops. I encourage others to build and improve on the ideas I had for this course, and to contact me with questions related to the materials and course design.
Colin James Grudzien