NP3.2

This session will highlight scaling and nonlinear dynamics modelling, and the analysis of scaling properties of climate, atmosphere, ocean, and geophysical fields. Contributions dealing with models of various degrees of complexity around these topics are welcome. This session focuses on methods, observations, and data analyses aiming to identify such scaling ranges and characterize them using different methods and models.

This session also aims at bringing together climatologists and paleoclimatologists from the modelling and proxy-data acquisition communities in addition to scientists from the nonlinear geoscience community with the aim to develop tools for understanding, comparing and modelling time series and spatial distributions over wide scale ranges so as to better understand and quantify the climate variability in time and space while taking into account intrinsic uncertainties. Members of the PAGES working group on Climate Variability Across Scales (CVAS) are welcome.

Contributions that improve the quantification, understanding and prediction of climate variability in the Earth System across space and time scales are encouraged. This includes case studies, idealized or realistic modeling, synthesis, and model-data comparison studies that provide insights into past, present and future climate variability on local to global, and synoptic to orbital timescales.

Specific topics include:
• theoretical and experimental studies of turbulence, and related cascade models;
• passive and active scalar diffusion/transport (including clouds and precipitation);
• variability and coupling across a broad range of scales in climate;
• scaling properties in climate models;
• land/atmosphere and ocean/atmosphere interactions;
• geological, geophysical, geochemical and remote sensing for mineral exploration and geological assessment;
• scaling and nonlinear aspects of physical, biological, chemical fields in the ocean and freshwaters;
• Multiscale analysis; Methods for fractal and multifractal analysis of data;
• Scaling time series analysis in the atmosphere, ocean and geosciences.

Scheduling notes:
• Richardson medal lecture by Shaun Lovejoy
• invited talk: “The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin” by Gerrit Lohmann

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Convener: Francois Schmitt | Co-conveners: Qiuming Cheng, Michel Crucifix, Stefano Pierini, Kira Rehfeld
Orals
| Tue, 09 Apr, 14:00–18:00
 
Room E2
Posters
| Attendance Wed, 10 Apr, 08:30–10:15
 
Hall X4
This session will highlight scaling and nonlinear dynamics modelling, and the analysis of scaling properties of climate, atmosphere, ocean, and geophysical fields. Contributions dealing with models of various degrees of complexity around these topics are welcome. This session focuses on methods, observations, and data analyses aiming to identify such scaling ranges and characterize them using different methods and models.

This session also aims at bringing together climatologists and paleoclimatologists from the modelling and proxy-data acquisition communities in addition to scientists from the nonlinear geoscience community with the aim to develop tools for understanding, comparing and modelling time series and spatial distributions over wide scale ranges so as to better understand and quantify the climate variability in time and space while taking into account intrinsic uncertainties. Members of the PAGES working group on Climate Variability Across Scales (CVAS) are welcome.

Contributions that improve the quantification, understanding and prediction of climate variability in the Earth System across space and time scales are encouraged. This includes case studies, idealized or realistic modeling, synthesis, and model-data comparison studies that provide insights into past, present and future climate variability on local to global, and synoptic to orbital timescales.

Specific topics include:
• theoretical and experimental studies of turbulence, and related cascade models;
• passive and active scalar diffusion/transport (including clouds and precipitation);
• variability and coupling across a broad range of scales in climate;
• scaling properties in climate models;
• land/atmosphere and ocean/atmosphere interactions;
• geological, geophysical, geochemical and remote sensing for mineral exploration and geological assessment;
• scaling and nonlinear aspects of physical, biological, chemical fields in the ocean and freshwaters;
• Multiscale analysis; Methods for fractal and multifractal analysis of data;
• Scaling time series analysis in the atmosphere, ocean and geosciences.

Scheduling notes:
• Richardson medal lecture by Shaun Lovejoy
• invited talk: “The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin” by Gerrit Lohmann