Evaluation of Dynamical Downscaling in a Fully Coupled Regional Earth System Model Journal Article uri icon

Overview

abstract

  • A set of decadal simulations has been completed and evaluated for gains; using the Regional Arctic System Model (RASM) to dynamically downscale; data from a global Earth system model (ESM) and two atmospheric; reanalyses. RASM is a fully coupled atmosphere - land - ocean - sea ice; regional Earth system model. Nudging to the forcing data is applied to; approximately the top half of the atmosphere. RASM simulations were also; completed with a modification to the atmospheric physics for evaluating; changes to the modeling system. The results show that for the top half; of the atmosphere, the RASM simulations follow closely to that of the; forcing data, regardless of the forcing data. The results for the lower; half of the atmosphere, as well as the surface, show a clustering of; atmospheric state and surface fluxes based on the modeling system. At; all levels of the atmosphere the imprint of the weather from the forcing; data is present as indicated in the pattern of the monthly and annual; means. Biases, in comparison to reanalyses, are evident in the ESM; forced simulations for the top half of the atmosphere but are not; present in the lower atmosphere. This suggests that bias correction is; not needed for fully-coupled dynamical downscaling simulations. While; the RASM simulations tended to go to the same mean state for the lower; atmosphere, there is a different evolution of the weather across the; ensemble of simulations. These differences in the weather result in; variances in the sea ice and oceanic states.

publication date

  • January 24, 2023

has restriction

  • green

Date in CU Experts

  • January 31, 2023 9:33 AM

Full Author List

  • Seefeldt MW; Cassano JJ; Lee YJ; Maslowski W; Craig A; Osinski R

author count

  • 6

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