Integrate climate science in your teaching and use these educational resources to teach topics in Mathematics such as:
Calculus, Integration, Differentiation, Trigonometry, Sine and Cosine Functions, Polynomial Differentiation, Tangent Line Problems, Area Under A Curve, Riemann Sums, Numerical Modeling, Mathematical Modeling, Computer Programming and more.
In Statistics, the topics covered are as:
Trend Analysis, Linear Regression, Quadratic Regression, Time Series, Uncertainty, Correlation Coefficients, Confidence Intervals, Errors, Students t distribution and more.
Series of two E-Learning Courses on Introduction to Climate Change and Climate Science Following are two online courses in Climate Change and Climate Science by the National Resource Centre (NRC) on Climate Change at the
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,
A classroom/laboratory activity to model temperature data by using trigonometric functions. Students will model given temperature data (for Wellington, New Zealand) by using sine and cosine functions. They will compare models and discuss their observations.
A classroom/laboratory activity to analyze CO2 emissions data by using Riemann sums for the calculation of area under the curve. Students will use calculate and compare CO2 emissions for the U.S. and China, based on
A classroom/laboratory activity to learn and apply polynomial differentiation and to solve tangent line problems for global average CO2 data. Students will observe the trend in increasing atmospheric CO2 levels, infer when atmospheric CO2 levels
A classroom/laboratory activity to model how changes in the radiation entering or leaving the Earth affect the temperature of the planet. Students will model the data by using Excel spreadsheets and will then determine whether
A teaching manual for instructors that integrates sustainability themes with mathematics topics for courses or projects in algebra, pre-calculus, or math for liberal arts. These modules, which include exercises and research questions, cover the following
A laboratory activity to create an energy balance model for planet Earth and obtain numerical solutions for the differential equations in the model. Students will write code (using MATLAB or Mathematica) to model the distribution
An e-learning course to create climate models in Python through hands-on programming exercises. Students will use Python to model energy balance; ice-albedo feedback; ice sheet dynamics; and pressure, rotation, and fluid flow. Use this tool
A model/simulator to explore the Gaia hypothesis and the concepts of albedo and hysteresis through the example of daisies (living organisms) and their interaction with temperature (climatic factor). Students will configure the distribution of black
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
A classroom/laboratory activity to learn about statistical methods to analyze 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