EGU2020-20342
https://doi.org/10.5194/egusphere-egu2020-20342
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

CONDE: Climate simulation ON DEmand using HPCaaS

Diego A. Pérez Montes1, Juan A. Añel2, and Javier Rodeiro3
Diego A. Pérez Montes et al.
  • 1EPhysLab - Environmental Physics Laboratory, University of Vigo, Ourense, Spain (kabute@uvigo.es)
  • 2EPhysLab - Environmental Physics Laboratory, University of Vigo, Ourense, Spain (j.anhel@uvigo.es@uvigo.es)
  • 3School of Computer Sciences, University of Vigo, Ourense, Spain (jrodeiro@uvigo.es)

CONDE (Climate simulation ON DEmand) is the final result of our work and research about climate and meteorological simulations over an HPC as a Service (HPCaaS) model. On our architecture we run very large climate ensemble simulations using a, adapted, WRF version that is executed on-demand and that can be deployed over different Cloud Computing environments (like Amazon Web Services, Microsoft Azure or Google Cloud) and that uses BOINC as middleware for the tasks execution and results gathering. Here, we also present as well some basic examples of applications and experiments to verify that the simulations ran in our system are correct and show valid results. 

How to cite: Pérez Montes, D. A., Añel, J. A., and Rodeiro, J.: CONDE: Climate simulation ON DEmand using HPCaaS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20342, https://doi.org/10.5194/egusphere-egu2020-20342, 2020

This abstract will not be presented.