EGU22-8792, updated on 02 Oct 2023
https://doi.org/10.5194/egusphere-egu22-8792
EGU General Assembly 2022
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Space-time simulation of storms and beyond!

Simon Michael Papalexiou1,2, Francesco Serinaldi3, and Emilio Porcu4
Simon Michael Papalexiou et al.
  • 1University of Calgary, Civil Engineering, Calgary, Canada (simon.papalexiou@ucalgary.ca)
  • 2Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada
  • 3School of Engineering, Newcastle University, Newcastle Upon Tyne, UK
  • 4Department of Mathematics, Khalifa University, Abu Dhabi, United Arab Emirates

Simulating storms, or hydro-environmental fluxes in general, in space and time is challenging and crucial to inform environmental risk analysis and decision making under variability and uncertainty. Here, we advance space-time modelling by enabling simulation of random fields (RF) described by general velocity fields and anisotropy. This advances the skills of the Complete Stochastic Modeling Solution (CoSMoS) framework in space and time and enables RF's simulations that reproduce desired: (a) non-Gaussian marginal distribution, (b) spatiotemporal correlation structure (STCS), (c) velocity fields with locally varying speed and direction that describe advection, and (d) locally varying anisotropy. We demonstrate applications of CoSMoS by simulating storms at fine spatiotemporal scales that move across an area, spiraling fields such weather cyclones, air masses converging to (or diverging from) a point and more. The methods are implemented in the CoSMoS R package freely available in CRAN.

Reference: Papalexiou, S. M., Serinaldi, F., & Porcu, E. (2021). Advancing Space-Time Simulation of Random Fields: From Storms to Cyclones and Beyond. Water Resources Research, 57(8), e2020WR029466. https://doi.org/10.1029/2020WR029466

How to cite: Papalexiou, S. M., Serinaldi, F., and Porcu, E.: Space-time simulation of storms and beyond!, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8792, https://doi.org/10.5194/egusphere-egu22-8792, 2022.