EGU2020-19367, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-19367
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analogies in stochastic behaviour from the microscale of turbulence to the large-scale hydrometeorological processes under the Hurst-Kolmogorov dynamics

Panayiotis Dimitriadis and Demetris Koutsoyiannis
Panayiotis Dimitriadis and Demetris Koutsoyiannis
  • Department of Civil and Environmental Engineering, School of Civil Engineer, National Technical University of Athens

The turbulent shear stress and momentum regimes dominate and drive the energy exchange mechanisms among the hydrometeorological processes in the atmospheric boundary layer. To seek for stochastic analogies among the latter, Dimitriadis (2017) studied the observed variability of key hydrometeorological processes in local and global scale under the stochastic framework of the Hurst-Kolmogorov dynamics. It is found that several stochastic similarities exist in both the marginal and dependence structures of the examined processes. This conclusion permits the development of an integrated stochastic view of the atmospheric dynamics in the boundary layer as compared to traditional deterministic approaches. Finally, a robust algorithm for the explicit stochastic synthesis of the above processes from fine to large scales is presented and the merits and limitations compared to other existing methods are discussed.

Dimitriadis, P., Hurst-Kolmogorov dynamics in hydrometeorological processes and in the microscale of turbulence, Ph.D. thesis, Department of Water Resources and Environmental Engineering, School of Civil Engineer, National Technical University of Athens, 2017.

How to cite: Dimitriadis, P. and Koutsoyiannis, D.: Analogies in stochastic behaviour from the microscale of turbulence to the large-scale hydrometeorological processes under the Hurst-Kolmogorov dynamics, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19367, https://doi.org/10.5194/egusphere-egu2020-19367, 2020

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