NG43A:
Stochastic Modeling and Complex System Approaches to Nonlinear Geophysical Systems II Posters

Session ID#: 4761

Thursday, 18 December 2014: 1:40 PM-6:00 PM
Poster Hall (Moscone_South)
Chairs:  Adam H Monahan, University of Victoria, Victoria, BC, Canada, Reik V Donner, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany, Cecile Penland, NOAA Earth System Research Laboratories, Physical Sciences Laboratory, Boulder, United States and Paul Williams, University of Reading, Reading, United Kingdom
Primary Convener:  Adam H Monahan, University of Victoria, Victoria, BC, Canada
Co-conveners:  Cecile Penland, NOAA Earth System Research Laboratories, Physical Sciences Laboratory, Boulder, United States, Paul Williams, University of Reading, Reading, United Kingdom and Reik V Donner, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany
OSPA Liaison:  Adam H Monahan, University of Victoria, Victoria, BC, Canada
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • OS - Ocean Sciences
Index Terms:

3265 Stochastic processes [MATHEMATICAL GEOPHYSICS]
3270 Time series analysis [MATHEMATICAL GEOPHYSICS]
3325 Monte Carlo technique [ATMOSPHERIC PROCESSES]
4430 Complex systems [NONLINEAR GEOPHYSICS]
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
On an Unified Scaling Law for Volcanic Eruptions (15473)
Flavio Cannavo, National Institute of Geophysics and Volcanology, Rome, Italy and Giuseppe Nunnari, University of Catania, DIEEI, Catania, Italy
 
Nonlinear Decomposition of Climate Data: a New Method for Reconstruction of Dynamical Modes (16852)
Dmitry Mukhin1, Andrey Gavrilov1, Evgeny M Loskutov2 and Alexander M Feigin2, (1)Institute of Applied Physics of RAS, Nizhny Novgorod, Russia, (2)Institute of Applied Physics RAS, Nizhny Novgorod, Russia
 
CHARACTERIZATION OF PACIFIC OCEAN SURFACE TEMPERATURES USING EULERIAN MOTION MAGNIFICATION (20062)
Julian David Rojo Hernandez1 and Oscar J Mesa1,2, (1)National University of Colombia - UNAL, Medellin, Colombia, (2)National University of Colombia, Bogotá, Colombia
 
Using Scaling to Understand, Model and Predict Global Scale Anthropogenic and Natural Climate Change (9741)
Shaun Lovejoy and Lenin Del Rio Amador, McGill University, Montreal, QC, Canada
 
Multifractal properties of geoelectric time series associated with main shocks occurred in Mexico (28473)
Alejandro Ramirez Rojas and Lucía Rebeca Moreno-Torres, UAM Metropolitan Autonomous University of Mexico, Azcapotzalco, Mexico
 
Empirical Modeling and Stochastic Simulation of Sea-Level Pressure Variability (16379)
Sergey Kravtsov1, Natalia Tilinina2, Yulia Zyulyaeva3 and Sergey Gulev3,4, (1)University of Wisconsin-Milwau, Milwaukee, United States, (2)Shirshov Institute of Oceanology, RAS, Moscow, Russia, (3)P. P. Shirshov Institute of Oceanology, RAS, Moscow, Russia, (4)UCAR at NOAA/NCDC, Asheville, NC, United States
 
On estimation of stochastic forcing with application to El Niño (17374)
Cecile Penland, NOAA Earth System Research Laboratories, Physical Sciences Laboratory, Boulder, United States
 
Earthquake Sequencing: Significance of Kuramoto Model on Directed Graphs (17009)
Kris Vasudevan and Michael Cavers, University of Calgary, Calgary, AB, Canada
 
Crossover in Scaling: Asymptotic Hyperbolic Behavior and Computation of Crossover Point (32018)
Venkat Anurag Setty, University of Maryland, Institute for Physical Science and Technology, College Park, MD, United States and A Surjalal Sharma, University of Maryland, Department of Astronomy, College Park, MD, United States
 
A method for the evaluation of global source and destination characteristics of geophysical data. (32091)
Alejandro Pares-Sierra and Ana Laura Flores Morales, CICESE National Center for Scientific Research and Higher Education of Mexico, Ensenada, Mexico
 
Stochastic averaging of fast-slow systems forced with alpha-stable noise (20555)
William F Thompson1, Rachel A Kuske1 and Adam H Monahan2, (1)University of British Columbia, Vancouver, BC, Canada, (2)University of Victoria, Victoria, BC, Canada
 
Optimal Empirical Prognostic Models of Climate Dynamics (21092)
Evgeny M Loskutov1, Dmitry Mukhin2, Andrey Gavrilov2 and Alexander M Feigin1, (1)Institute of Applied Physics RAS, Nizhny Novgorod, Russia, (2)Institute of Applied Physics of RAS, Nizhny Novgorod, Russia
 
A stochastic model for tropical cyclone tracks based on Reanalysis data and GCM output (21126)
Kazue Suzuki, The Inst of Statistical Math, Tachikawa, Japan, Shinya Nakano, The Institute of Statistical Mathematics, Tachikawa, Japan and Genta Ueno, The Inst of Statistical Math, Tokyo, Japan
 
The Statistical Differences Between the Gridded Temperature Datasets, and its Implications for Stochastic Modelling (21938)
Hege-Beate Fredriksen, Ola Løvsletten, Martin Rypdal and Kristoffer Rypdal, University of Tromsø, Tromsø, Norway
 
Multiple Regimes of Flow, Stratification, and Turbulence in the Stable Boundary Layer (25731)
Adam H Monahan and Timothy Rees, University of Victoria, Victoria, BC, Canada