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Cited by 332

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Mid-Latitude Weather Systems

Kennea, Trevor, Carlson, T. N.·1993·Transactions of the Institute of British Geographers

Abstract

Mid-Latitude Weather is the first text to make extensive use of conventional weather charts and equations to fully illustrate the behavior and evolution of weather With the use of well-documented case studies, Toby Carlson has achieved a unique presentation of selected concepts, which facilitate a clear interpretation of this active and challenging area of study. Early chapters focus on the mathematics necessary to construct simple models which are subsequently used to describe and interpret the movement, evolution, and structure of particular weather Particular meteorological phenomena are discussed using schematic illustrations in conjunction with actual weather charts for explanation. The charts are an original and powerful feature of the text and display parameters routinely issued by the United States Weather Service. Presenting a fusion between the mathematical and descriptive fields of meteorology and integrated coverage of synoptic and dynamic approaches, Mid-Latitude Weather Systems provides students with an invaluable course text and reference source to gain an unclouded appreciation of the underlying processes and behavior of mid-latitude weather patterns.

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Metadata

Authors
Kennea, T., & Carlson, T. N.
Venue
Transactions of the Institute of British Geographers
Publisher
JSTOR
Published
1993
Volume
18
Issue
3
Pages
403
ISSN
0020-2754 (ISSN-L)
OpenAlex
W2167596792
Cited by
332
References
0
FWCI
3.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mid-Latitude Weather Systems. https://app.cochat.ai/papers/10.2307/622471
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Kennea, T., & Carlson, T. N. (1993). Mid-Latitude Weather Systems. Transactions of the Institute of British Geographers. https://doi.org/10.2307/622471

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.