EGU General Assembly 2008
Session Programme Meeting Programme Personal Programme Search
 
Quick Search
Natural Hazards
Meteorological Hazards
Hydrological Hazards
Volcanic Hazards
Landslide Hazards
Earthquake Hazards
Sea & Ocean Hazards
Snow Avalanches & Glacial Hazards
Other Hazards (Wildfires, Karst, Heavy-Metals, Radon)
Natural Hazards & Society (Multihazard Risk, Vulnerability, Reinsurance, Education, Communications, etc.)
Multihazards Tools & Methods (Sessions bringing together more than two hazards)
Programme Groups
Union Symposia
Interdivision Sessions
Educational Symposia
Atmospheric Sciences
Biogeosciences
Climate: Past, Present, Future
Cryospheric Sciences
Earth & Space Science Informatics
Energy, Resources & the Environment
Geochemistry, Mineralogy, Petrology & Volcanology
Geodesy
Geodynamics
Geomorphology
Geosciences Instrumentation & Data Systems
Hydrological Sciences
Isotopes in Geosciences: Instrumentation and Applications
Magnetism, Palaeomagnetism, Rock Physics & Geomaterials
Natural Hazards
Nonlinear Processes in Geophysics
Ocean Sciences
Planetary & Solar System Sciences
Seismology
Soil System Sciences
Solar-Terrestrial Sciences
Stratigraphy, Sedimentology & Palaeontology
Tectonics & Structural Geology
Medal Lectures
Great Debates in Geosciences
Short Courses
Keynote Lectures
Townhall Meetings
Division Business Meetings
Editorial Board Meetings
Union Meetings
Splinter Meetings
  Information - IS40 - NP3.04/HS1.8/NH10.5 Geophysical Extremes: scaling versus nonstationarity (co-organized by NP, HS & NH, co-listed in AS)

Event Information
Probabilistic treatment of geophysical processes is typically based on the classical statistical paradigm, which is greatly influenced by the assumptions of independence and Gaussian distribution. Even when dependence is considered, this is typically done by a Markovian assumption, so that the dependence weakens rapidly as we move from smaller to larger lags or scales. Currently, however, it has become clear that geophysical processes do not correspond to this typical model, and exhibit scaling behaviours in time, space and state. The scaling behaviours imply non-Markovian, long range, dependence, as well as non-Gaussian distribution. To make the conventional statistics compliant with such a behaviour, the notion of nonstationarity is often invoked, which is, more often than not, unjustified, since its key condition that the change is a deterministic function of time (or space) may not be fulfilled. Thus, a better probabilistic and statistical framework is needed, which should incorporate the empirically observed scaling properties in a theoretical framework. In addition, a clarification of the conditions that may justify the nonstationarity notion is necessary.

The session aims to discuss the notion of scaling on empirical, as well as theoretical, probabilistic grounds, and to shed light on the notion of nonstationarity within such a new framework. Geophysical extremes provide an ideal domain for the focus of this discussion as they are known to exhibit different types of scaling behaviour in time, space and state.

Preliminary List of Solicited Speakers
Dr. Khaled H. Hamed, Sultan Qaboos University, Muscat, Oman & Cairo University, Egypt

Co-Sponsorship

General Statement
The information contained hereafter has been compiled and uploaded by the Session Organizers via the "Organizer Session Form". The Session Organizers have therefore the sole responsibility that this information is true and accurate at the date of publication, and the conference organizer cannot accept any legal responsibility for any errors or omissions that may be made, and he makes no warranty, expressed or implied, with regard to the material published.



Back to Session Programme

 
 
 
 


©2002-2008 Copernicus Systems + Technology GmbH