Book description
Time Series Analysis in Meteorology and Climatology
provides an accessible overview of this notoriously difficult subject.
Clearly structured throughout, the authors develop sufficient
theoretical foundation to understand the basis for applying various
analytical methods to a time series and show clearly how to interpret
the results. Taking a unique approach to the subject, the authors use a
combination of theory and application to real data sets to enhance
student understanding throughout the book.
This book is written for
those students that have a data set in the form of a time series and
are confronted with the problem of how to analyse this data. Each
chapter covers the various methods that can be used to carry out this
analysis with coverage of the necessary theory and its application. In
the theoretical section topics covered include; the mathematical
origin of spectrum windows, leakage of variance and understanding
spectrum windows. The applications section includes real data sets for
students to analyse. Scalar variables are used for ease of
understanding for example air temperatures, wind speed and precipitation.
Students are encouraged to write their own computer programmes and
data sets are provided to enable them to recognize quickly whether
their programme is working correctly- one data set is provided with
artificial data and the other with real data where the students are
required to physically interpret the results of their periodgram analysis.
Based on the acclaimed and long standing course at the University of
Oklahoma and part of the RMetS Advancing Weather and Climate Science
Series, this book is distinct in its approach to the subject matter in
that it is written specifically for readers in meteorology and
climatology and uses a mix of theory and application to real data sets.
