Use Case

High Fidelity Modeling and Analytics for Improved Understanding of Climate

S.C. Pryor (Cornell) with R. Levy (NASA Goddard), F. Yu (SUNY Albany), A. Hodzic (NCAR), P. Crippa (University of Newcastle), H. Matsui (Japan Agency for Marine-Earth Science and Technology)

What?

  • Model the variability of wind speeds and atmospheric properties

Why Aristotle?

  • Bursting to process new data
  • Sharing of a high-value processed dataset of general interest

Accomplishments

  • Built a physics-only version of the Weather Research and Forecasting (WRF) model using Docker and compiled it with parallel NetCDF to evaluate cloud-based performance.
  • Ran high-resolution simulations to quantify wind climate and analyze the impact of large wind turbine developments on downstream climate (local to mesoscale).
  • Evaluated 10-minute wind speeds from simulations relative to in-situ measurements from the National Weather Service Automated Surface Observing System (ASOS) on Jetstream to allow Aristotle to continue to focus on the numerical simulations.
  • Analyzed high-resolution numerical simulations of the effects of wind turbines (WT) on regional climate.
  • Completed simulations to test the sensitivity of the climate impacts to the precise description of the WT aerodynamics (the extraction of momentum and introduction of turbulence behind the turbine rotor).
  • Analyzed long-term simulations with the WRF model to examine inter-annual variability of annual mean wind speeds at/near typical wind turbine hub-heights, and applied the power curve of the most commonly deployed WT to post-process the 10-minute wind speed output into estimated annual energy production (goal is to create a more robust prediction of the value of wind energy projects: analyses rendered possible by mounting a 100TB hard drive on an Aristotle instance).

Plans

  • Continue to run high-resolution numerical simulations to improve the understanding of wind climate variability and change with a specific focus on applications to the wind energy industry.
  • Continue to conduct high-resolution numerical simulations to improve the understanding of local climate perturbations resulting from the action of wind turbines in harnessing the kinetic energy of the atmosphere and converting it into (carbon-free) electricity.

Products





Data streams and models need to be fully integrated to better understand the Impact of aerosol particles on climate and health
Policymakers and the wind energy industry need better climate and wind speed variability models. (click image for video)

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