This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…

A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…

Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may…

Weather forecasting consists of two processes, model integration and analysis (data assimilation). During the model integration, the state estimate produced by the analysis evolves to the next cycle time according to the atmospheric model to become the background estimate. The analysis then produces a new state estimate by combining the background…

In this article, the authors present an inquiry-based approach to facilitate student understanding of the differences among common cloud descriptive characteristics through the use of a semi-dichotomous key developed by a former West Virginia state climatologist. The authors also demonstrate how students can analyze common class data sets that…

In the atmosphere or on the ground, snow provides students with unique opportunities to discover winter weather patterns. Traditionally, when students study weather, it is limited to the collection of data one would see on a weather report. However, the interdisciplinary Students Synthesizing Snow data in Natural Objective Ways (SSSNOW) project…

Undergraduate students compared Next Generation Weather Radar (NEXRAD) estimates of storm total precipitation to measurements from a network of 20 rain gauges. Student researchers gained valuable experience in field data collection, global positioning systems (GPS), geographic information systems (GIS), Internet data access and downloading,…

Presents adaptations and tests undertaken to allow an information retrieval system to forecast the likelihood of avalanches on a particular day; the forecasting process uses historical data of the weather and avalanche conditions for a large number of days. Describes a method for adapting these data into a form usable by a text-based IR system and…

Describes the work of a meteorologist, the history of meteorology, and links to mathematics. Contains reproducible student activity worksheets on weather data. (MKR)

This paper contains sample exercises that investigate weather and air quality relationships for use in college-level introductory courses in climatology and meteorology. The exercises will provide students with an opportunity to apply meteorological principles to a specific geographic location, in an effort to better understand the significant…

This teaching unit is designed to help students in grades 5 to 8 explore the concepts of data analysis and measurement in the context of meteorology. The units in the series have been developed to enhance and enrich mathematics, science, and technology education and to accommodate different teaching and learning styles. Each unit consists of…