Predict the Climate by throwing a dice
Predict the Climate by throwing a dice Teaching Module A teaching module that uses a dice and Excel to demonstrate the difference between experimental and theoretical probabilities. It also uses temperature and precipitation data to calculate moving average, identify trends in time series, and learn about data visualisation. This teaching module provides multiple resources under […]
Introduction to Statistics through Weather Forecasting
Introduction to Statistics through Weather Forecasting Teaching Module A teaching module by Ginny Brown, University Corporation for Atmospheric Research (UCAR), that uses climate data to teach statistical parameters such as mean, median, mode, extreme values, percent frequency of occurrence and time, range, standard deviation, and data anomalies. It also includes discussion on the use of […]
Statistical Methods to Determine Historical Temperature Trends
Statistical Methods to Determine Historical Temperature Trends Teaching Module A classroom/laboratory activity to learn about statistical methods to analyse average annual temperatures of major cities in the world (New York and Sydney) and to determine trends in the data. Students will create histograms to analyse the average annual temperatures; will compare data sets; will learn […]
Statistical Methods to Determine Trends in Hurricane Intensity
Statistical Methods to Determine Trends in Hurricane Intensity Classroom/Laboratory Activity A classroom/laboratory activity to learn about linear slope, trends, confidence intervals, and Student’s t-distribution by calculating trends and uncertainties using hurricane data records over 40 years. Using hurricane-related data for the Atlantic Ocean, students will plot graphs and determine trends by calculating linear slope. They […]
Linear Regression on Arctic Ice Data
Linear Regression on Arctic Ice Data Classroom/Laboratory Activity A classroom/laboratory activity to perform linear regression on climate data from the Arctic. Students will perform linear regression analysis on the average monthly extent of Arctic sea ice (from 1979 to the present) and will compare the residual plots for different months. Use this tool to help […]
Regression Analysis of Global Temperature Data
Regression Analysis of Global Temperature Data Classroom/Laboratory Activity A classroom/laboratory activity to learn about regression analysis of data by using global temperature data over a period of 150 years. Students will plot global mean temperatures, perform regression analysis, and determine global mean temperature anomalies. Use this tool to help your students find answers to: Perform […]
T-tests and Climate Data
T-tests and Climate Data Teaching Module A teaching module by Wendy Van Norden, University of Wisconsin, that makes the use of T-tests to analyse dataset to study seasonal ice cover over Lake Mendota, US, to understand how climate change has impacted ice cover over 160 years. This teaching module will have the following outcomes: Students […]
Linear Regression using Global Temperatures
Linear Regression using Global Temperatures Classroom/Laboratory Activity A classroom/lab activity for Statistics teachers to teach about Linear Regression. This activity is based on a dataset on average global temperature anomalies from 1850 to 2019. Students will learn about introductory linear regression techniques and will learn to make scatter plots of the data provided. This tool […]
Meteorologist for a day
Meteorologist for a day Classroom/Laboratory Activity A classroom/laboratory activity to calculate the mean daily temperature using hourly temperature data and to compare different statistical techniques for determining this value. Students will use a given data set to calculate the mean daily temperature of a location, as determined by a meteorologist. They will also discuss weather […]
Analyzing Climate Science Data through Simple Statistical Techniques
Analyzing Climate Science Data through Simple Statistical Techniques Teaching Module A teaching module that demonstrates the use of linear and quadratic regression to analyze Arctic sea ice extent data and the use of graphs, sample correlations, and multiple regression to analyze atmospheric CO2 level data, solar irradiance data, and average global temperature data. In the […]