Abstract
The fidelity of a prerelease Energy Exascale Earth System Model (E3SM) in reproducing atmospheric blocking is evaluated with ∼100- and ∼25-km horizontal resolution within ensembles of simulations with Atmospheric Modeling Intercomparison Protocol-type active atmosphere and land surface configurations. This evaluation is conducted via a hybrid bidimensional blocking index based on geopotential height. The lower-resolution model correctly reproduces the spatial distribution of blocking frequency maxima over the Northern Hemisphere. However, it overestimates the blocking frequency over western North America, the Pacific Northeast, and Eastern Europe regions and largely underestimates blocking frequency over the North Atlantic. The high-resolution model significantly reduces the bias over the North Pacific region, particularly over western North America, but the biases over the North Atlantic blocking sector mostly persist. A diagnosis of the mean flow reveals that the subtropical jet is displaced poleward in the high-resolution model with a jet core speed that is generally more realistic. A time scale analysis of eddies suggests that synoptic eddies associated with the blocking events are increased in the high-resolution configuration. The discrepancy between the models implies that both synoptic and low-frequency eddies play significant roles in determining North Pacific blocking, whereas North Atlantic blocking is mainly driven by low-frequency eddies. The characteristic time scale associated with blocking events is also investigated, and it shows that both model resolutions produce events that are overly persistent. However, the bias in the high-resolution model is reduced, which reflects more efficient energy dispersion with higher resolution.
Original language | English |
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Pages (from-to) | 2465-2482 |
Number of pages | 18 |
Journal | Journal of Geophysical Research: Atmospheres |
Volume | 124 |
Issue number | 5 |
DOIs | |
State | Published - Mar 16 2019 |
Funding
Received 25 APR 2018 Accepted 28 DEC 2018 Accepted article online 15 JAN 2019 Published online 5 MAR 2019 Published 2019. This article is a US Government work and is in the public domain in the USA. Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Depart ment of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). The E3SM code that produced the simulations is open source and can be accessed from https://e3sm.org/model. Authors were funded through the U.S. Department of Energy Office of Biological and Environmental Research project, Energy Exascale and Earth System Model (E3SM). The simulation data will become publicly available at an E3SM Earth System Grid Federation node upon publication of this manuscript. This research used the resources of the Oak Ridge and Argonne Leadership Computing Facilities at the Oak Ridge and Argonne National Laboratories, respectively, and the National Energy Research Scientific Computing Center, which are supported by the Office of Science of the U.S. Department of Energy under contracts DE-AC05-00OR22725, DE-AC02-06CH11357, and DE-AC02-05CH11231. Work at Lawrence Livermore National Laboratory was supported by the DOE E3SM program and performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. We are grateful for the contributions from several anonymous reviewers; they improved the manuscript.
Funders | Funder number |
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National Energy Research Scientific Computing Center | |
Oak Ridge and Argonne National Laboratories | |
U.S. Department of Energy | DE-AC05-00OR22725, DE-AC02-05CH11231, DE-AC02-06CH11357 |
Battelle | DE-AC05-76RL01830 |
Office of Science | |
Lawrence Livermore National Laboratory | DE-AC52-07NA27344 |
Oak Ridge National Laboratory | |
National Energy Research Scientific Computing Center |