Time Series Analysis in Meteorology and Climatology An Introduction
Aus der Reihe
Advancing Weather and Climate Science
-
Form:Einzelkauf Download
-
Sprache:Englisch
-
eBook Format:PDF
- PDF Fr. 71.00 ausgewählt
- ePUB Fr. 71.00
Fr. 71.00
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
24.02.2012
Verlag
John Wiley & Sons IncSeitenzahl
262 (Printausgabe)
Dateigröße
2706 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781119953098
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.
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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.