9780262036061-0262036061-Minding the Weather: How Expert Forecasters Think

Minding the Weather: How Expert Forecasters Think

ISBN-13: 9780262036061
ISBN-10: 0262036061
Edition: Illustrated
Author: Robert R. Hoffman, H. Michael Mogil, Daphne S. Ladue, Paul J. Roebber, J. Gregory Trafton
Publication date: 2017
Publisher: The MIT Press
Format: Hardcover 488 pages
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ISBN-13: 9780262036061
ISBN-10: 0262036061
Edition: Illustrated
Author: Robert R. Hoffman, H. Michael Mogil, Daphne S. Ladue, Paul J. Roebber, J. Gregory Trafton
Publication date: 2017
Publisher: The MIT Press
Format: Hardcover 488 pages

Summary

Minding the Weather: How Expert Forecasters Think (ISBN-13: 9780262036061 and ISBN-10: 0262036061), written by authors Robert R. Hoffman, H. Michael Mogil, Daphne S. Ladue, Paul J. Roebber, J. Gregory Trafton, was published by The MIT Press in 2017. With an overall rating of 3.9 stars, it's a notable title among other Psychology & Counseling books. You can easily purchase or rent Minding the Weather: How Expert Forecasters Think (Hardcover) from BooksRun, along with many other new and used Psychology & Counseling books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.7.

Description

A detailed study of research on the psychology of expertise in weather forecasting, drawing on findings in cognitive science, meteorology, and computer science.

This book argues that the human cognition system is the least understood, yet probably most important, component of forecasting accuracy. Minding the Weather investigates how people acquire massive and highly organized knowledge and develop the reasoning skills and strategies that enable them to achieve the highest levels of performance.

The authors consider such topics as the forecasting workplace; atmospheric scientists' descriptions of their reasoning strategies; the nature of expertise; forecaster knowledge, perceptual skills, and reasoning; and expert systems designed to imitate forecaster reasoning. Drawing on research in cognitive science, meteorology, and computer science, the authors argue that forecasting involves an interdependence of humans and technologies. Human expertise will always be necessary.

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