IWAL–An Interactive Weather Analysis Laboratory

Author:

Limbach Sebastian1,Sprenger Michael2,Schömer Elmar3,Wernli Heini2

Affiliation:

1. Institute for Atmosphere and Climate Science, ETH Zurich, Switzerland, and Institute for Computer Science, Johannes-Gutenberg University, Mainz, Germany

2. Institute for Atmosphere and Climate Science, ETH Zurich, Switzerland

3. Institute for Computer Science, Johannes-Gutenberg University, Mainz, Germany

Abstract

Abstract Complementary key elements of meteorological education are the provision of a thorough theoretical understanding of the physical laws governing atmospheric motions, and the hands-on investigation and visualization of specific weather systems. However, the latter task is technically challenging, because specific skills must be acquired for flexibly handling meteorological data. Some examples are superimposing satellite pictures and reanalysis fields, producing an isentropic potential vorticity (PV) map, and visualizing a vertical section across a flow feature of interest. Although learning these technical issues has its own merits, it can distract students from investigating the complexities of meteorology. This experience from teaching beginner classes in synoptic meteorology at ETH Zurich and the University of Mainz was the main motivation for developing the educational software tool IWAL, the Interactive Weather Analysis Laboratory. IWAL is designed as a web application for easy, fast, and interactive access to large meteorological datasets, which enables active and curiosity-driven learning. The main target users of IWAL are students with little or no experience in the handling and visualization of such data. The interactivity; the option to very easily reproduce complex visualizations; and advanced features, such as the interactive computation of trajectories, are also of interest to more experienced students and lecturers.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference9 articles.

1. Structure of stratospheric intrusions into the troposphere;Appenzeller;Nature,1992

2. An extratropical cyclone atlas—a tool for illustrating cyclone structure and evolution characteristics;Dacre;Bull. Amer. Meteor. Soc.,2012

3. Developing capacity for natural hazard management using an active learning approach and web-based geographical information;Kos;Nat. Hazards Earth Syst. Sci.,2009

4. Limbach, S ., 2013: Software tools and efficient algorithms for the feature detection, feature tracking, event localization, and visualization of large sets of atmospheric data. PhD thesis, University of Mainz, 256 pp. [Available online at http://ubm.opus.hbz-nrw.de/volltexte/2013/3503/pdf/doc.pdf.]

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