Skip to content

 

Esamples are currently unavailable. We are working to correct the issues as quickly as possible. Thank you for your patience. 

Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart
Register Sign in Wishlist
The Weather and Climate

The Weather and Climate
Emergent Laws and Multifractal Cascades

$130.00

  • Date Published: May 2013
  • availability: In stock
  • format: Hardback
  • isbn: 9781107018983

$130.00
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Advances in nonlinear dynamics, especially modern multifractal cascade models, allow us to investigate the weather and climate at unprecedented levels of accuracy. Using new stochastic modelling and data analysis techniques, this book provides an overview of the nonclassical, multifractal statistics. By generalizing the classical turbulence laws, emergent higher-level laws of atmospheric dynamics are obtained and are empirically validated over time-scales of seconds to decades and length-scales of millimetres to the size of the planet. In generalizing the notion of scale, atmospheric complexity is reduced to a manageable scale-invariant hierarchy of processes, thus providing a new perspective for modelling and understanding the atmosphere. This new synthesis of state-of-the-art data and nonlinear dynamics is systematically compared with other analyses and global circulation model outputs. This is an important resource for atmospheric science researchers new to multifractal theory and is also valuable for graduate students in atmospheric dynamics and physics, meteorology and oceanography.

    • Presents a thorough treatment of multifractal cascades for atmospheric scientists, introducing the meteorological community to advances in nonlinear dynamics over the last twenty-five years
    • Allows the reader to understand, model and analyse the statistical properties of the classical deterministic atmospheric equations
    • Provides a consistent scaling framework for atmospheric variability in both space and time, clearly distinguishing weather and climate
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: May 2013
    • format: Hardback
    • isbn: 9781107018983
    • length: 489 pages
    • dimensions: 252 x 195 x 27 mm
    • weight: 1.25kg
    • contains: 325 b/w illus. 24 colour illus. 20 tables
    • availability: In stock
  • Table of Contents

    Preface
    Acknowledgements
    Acronyms and abbreviations
    1. Introduction
    2. Classical turbulence, modern evidence
    3. Scale by scale simplicity: an introduction to multiplicative cascades
    4. Empirical analysis of cascades in the horizontal
    5. Cascades, dimensions and codimensions
    6. Vertical stratification and anisotropic scaling
    7. Generalized scale invariance and cloud morphology
    8. Space-time cascades and the emergent laws of the weather
    9. Causal space-time cascades: the emergent laws of waves, predictability and forecasting
    10. The emergent laws of macroweather and the transition to the climate
    11. The climate
    References
    Index.

  • View all resources
    Group Section Name Type Size Sort Order filter vars
    General ResourcesAnimationsAtmospheric modelling animationslinkn/aSort Orderanimations general resources animations general resources animations
    General ResourcesBook LaunchLink to book launch event / EU RainGain Projectlinkn/aSort Orderbook launch general resources book launch general resources book launch
    General ResourcesErrataErrata_list_20.02.14_word.docxdocx617KB0errata general resources errata general resourceserrata
    General ResourcesErrataErrata_list_20.02.14_pdf.pdfpdf237KB1errata general resources errata general resourceserrata
    General ResourcesFiguresCaptions for figures in colourdocx487KB2figures general resources figures general resourcesfigures
    General ResourcesFiguresColour figureszip26531KB3figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 11zip7712KB4figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 10zip7800KB5figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 9zip7861KB6figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 8zip8496KB7figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 7zip27901KB8figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 6zip12753KB9figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 5zip21449KB10figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 4zip5009KB11figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 3zip5722KB12figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 2zip5527KB13figures general resources figures general resourcesfigures
    General ResourcesFiguresChapter 1zip5704KB14figures general resources figures general resourcesfigures
    General ResourcesSoftwareData analysis software: link for Scilab versionslinkn/aSort Ordersoftware general resources software general resources software
    General ResourcesSoftwareData analysis software: link for Mathematica and MATLAB versionslinkn/aSort Ordersoftware general resources software general resources software

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Authors

    Shaun Lovejoy, McGill University, Montréal
    Shaun Lovejoy is Professor of Physics at McGill University, Montréal, and has been a pioneer in developing and applying new ideas in nonlinear dynamics to the geosciences since the late 1970s. This has included multifractals, generalized (anisotropic) scale invariance, universal multifractals, space-time multifractal modeling of geofields (especially clouds, precipitation and topography). He has published over 200 papers applying these ideas to the Earth and environmental sciences. The unifying theme of this work is that when the notion of scaling is generalized to include anisotropy and multifractality, many key geofields display scaling behaviour over enormous ranges of scale; and that this nonclassical extreme variability is a new paradigm for the geosciences. In addition to these scientific contributions, Professor Lovejoy has actively promoted nonlinear processes in geophysics by co-founding the Nonlinear Process section at the European Geosciences Union (EGU) and the Nonlinear Processes in Geophysics journal. He has been Vice-chair and subsequently Chair of the Nonlinear Geophysics focus group at the American Geophysical Union (AGU) since 2004.

    Daniel Schertzer, Université de Paris-Est, Ecole des Ponts Paris Tech
    Daniel Schertzer is a professor at École des Ponts ParisTech, Université Paris-East, and Scientific Director of the Chair 'Hydrology for Resilient Cities', sponsored by VEOLIA Water. His research introduced multifractals and related techniques in hydrology, after having contributed to their theoretical developments in turbulence, in particular with the definition of a co-dimension formalism, the concepts of generalized scale invariance and universal multifractals. His work has covered many domains of geophysics and the environment, with a particular emphasis on atmospheric dynamics, precipitation extremes and remote sensing. His publications include two books and 115 ISI-indexed publications, which have received more than 4000 citations, and he is executive editor of the journal Nonlinear Processes in Geophysics, which he co-founded as well as the nonlinear geophysics divisions of EGU and AGU. Professor Schertzer has been a union officer of the EGU and an officer of AGU committees and the International Association for Hydrological Sciences bureau. He is also vice-president of the French National Committee of Geodesy and Geophysics and a member of the Higher Council of Meteorology (France).

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

© Cambridge University Press 2014

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×