Mathematics and Statistics

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.

A model/simulator to learn about the carbon cycle and carbon dioxide projections based on the observed CO2 concentrations from Land, Ocean and Atmospheric reservoirs.  The model includes four RCP scenarios based of fossil fuel emissions:
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
A teaching module by NASA makes the use of basic mathematics, algebra, geometry, trigonometric functions and statistics to understand earth science and climate change. This teaching module consists of a range of topics, for different
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
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
A classroom/ laboratory activity titled, ‘US Historical Climate: Excel Statistical’ from Starting Point by R.M. MacKay, Clark College, USA, to calculate mean, variance, standard deviation, maximum, minimum, and trends estimates for historical temperature data. This
A classroom/ laboratory activity titled, ‘Arctic Sea Ice’ from Sustainability Math by Thomas J. Pfaff, Ithaca College, USA, to teach introductory derivatives, polynomial differentiation, and the application of derivatives. This hands-on computer-based classroom activity consists
A classroom/ laboratory activity titled, ‘Wind Energy by Selected Countries and World’ from Sustainability Math by Thomas J. Pfaff, Ithaca College, USA, to teach polynomial and logistic differentiation using a hands-on computer-based classroom activity that
A classroom/ laboratory activity titled, ‘World Petroleum Consumption’ from Sustainability Math by Thomas J. Pfaff, Ithaca College, USA, to teach integration using a hands-on computer-based classroom activity that includes world petroleum consumption data from 1980
A classroom/ laboratory activity titled, ‘Global Average Temperature’ from Sustainability Math by Thomas J. Pfaff, Ithaca College, USA, to teach derivatives and polynomial differentiation using global average temperature data. This classroom/laboratory activity uses NASA’s data
A classroom/ laboratory activity titled, ‘Country Photovoltaic Energy Production’ from Sustainability Math by Thomas J. Pfaff, Ithaca College, USA, to teach differentiating functions - logistic and exponential, using a hands-on computer-based classroom activity that includes
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
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