Product Description

This invaluable weather and climate workbook applies exercises to the material presented in the companion volume, Climatology: An Atmospheric Science. The book is designed to make complex mathematical, statistical and spatial analytical methods more easily understood by providing essential details of the topic under discussion and straightforward quantitative problems preceded by worked example. All data are supplied to make the exercises self-contained and the volume's climate rather then meteorologic presentation enables a wider view of atmospheric sciences than is normally available. The authors examine the atmosphere, the energy balance, the seasons, temperature, central tendency and graphing, atmospheric moisture and precipitation distribution, air masses, fronts, and cyclones, winds and the global circulation, climate classification, climate types, change, indices and comfort, extreme events and statistical analysis as they apply to weather and climate. For those interested in atmospheric science.

Product Details

• Amazon Sales Rank: #1407199 in Books
• Published on: 2002-06-15
• Original language: English
• Number of items: 1
• Binding: Paperback
• 176 pages

From the Back Cover
This invaluable weather and climate workbook applies exercises to the material presented in the companion volume, Climatology: An Atmospheric Science. The book is designed to make complex mathematical, statistical and spatial analytical methods more easily understood by providing essential details of the topic under discussion and straightforward quantitative problems preceded by worked example. All data are supplied to make the exercises self-contained and the volume's climate rather then meteorologic presentation enables a wider view of atmospheric sciences than is normally available. The authors examine the atmosphere, the energy balance, the seasons, temperature, central tendency and graphing, atmospheric moisture and precipitation distribution, air masses, fronts, and cyclones, winds and the global circulation, climate classification, climate types, change, indices and comfort, extreme events and statistical analysis as they apply to weather and climate. For those interested in atmospheric science.

Excerpt. © Reprinted by permission. All rights reserved.

Climatology is a discipline that uses mathematical, statistical, and spatial analytical methods. In studying its subject matter, it is often useful to work problems that exemplify the ideas under discussion. In such a way, sometimes complex concepts may be understood more easily. It is the purpose of this manual to present a series of exercises that help achieve this goal.

It will be noted that this manual is called Exercises in Climatology. The term "laboratory manual" is purposefully omitted from the title, for the problems are designed to be completed either as a classroom activity or as homework. To enable this:

• A descriptive text is provided outlining essential details of the topic under discussion.
• Questions based upon material presented emphasize comprehension.
• Straightforward quantitative problems are preceded by worked examples.
• All necessary data are supplied to make the exercises self contained.

The exercises presented concentrate upon long-term events, the climatic rather then the meteorologic. Thus analysis of daily weather maps is omitted while climatic indices are covered; most weather map symbols are not included but water balance analysis is. It is hoped that such an approach will enable a wider view of atmospheric sciences than is normally the case.

While the exercises presented here are written to accompany Oliver and Hidore's Climatology: An Atmospheric Science, the manual can be used meaningfully in most undergraduate weather and climate courses. The exercises may be completed in any sequence to best fit the order of classroom presentation. Any suggestions or comments that may help expand or improve the content are most welcome.

The authors greatly appreciate the support of Embry-Riddle Aeronautical University and Indiana State University in the preparation of this publication.

Mary Snow, Ph.D.
Richard Snow, Ph.D.
John E. Oliver, Ph.D.