Antarctic Verification of the Australian Numerical Weather Prediction Model

Author:

Schroeter Benjamin J. E.1,Reid Phil2,Bindoff Nathaniel L.3,Michael Kelvin4

Affiliation:

1. Institute for Marine and Antarctic Studies, Hobart, Tasmania, Australia

2. Bureau of Meteorology, Hobart, Tasmania, Australia

3. Antarctic Climate and Ecosystem Cooperative Research Centre, Hobart, Tasmania, Australia

4. University of Tasmania, Hobart, Tasmania, Australia

Abstract

Abstract The Australian Community Climate and Earth-System Simulator-Global (ACCESS-G) features an atmosphere-only numerical weather prediction (NWP) suite used operationally by the Australian Bureau of Meteorology to forecast weather conditions for the Antarctic. The current operational version of the forecast model, the Australian Parallel Suite v2 (APS2), has been used operationally since early 2016. To date, the performance of the model has been largely unverified for the Antarctic and anecdotal reports suggest challenges for model performance in the region. This study investigates the performance of ACCESS-G south of 50°S over 2017 and finds that model performance degrades toward the poles and in proportion to forecast horizon against a range of performance metrics. The model exhibits persistent negative surface and mean sea level pressure biases around the Adelie Land coast, which is linked to the underrepresentation of model winds to the west, and driven by positive screen temperature biases that inhibit modeled katabatic outflow. These results suggest that an improved representation of boundary layer parameterization could be implemented to improve model performance in the region.

Funder

Australian Research Council - Antarctic Gateway Partnership

Australian Government Research Training Program Scholarship

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference54 articles.

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2. Antarctic Meteorological Research Center, 2018: Automatic Weather Stations— Antarctica 2018. Antarctic Meteorological Research Center, accessed 24 August 2018, https://amrc.ssec.wisc.edu/aws/documents/2018_AWS_Sites_ALL_03_29_2018.pdf.

3. Australian Bureau of Meteorology, 2016: BNOC Operations Bulletin Number 105: APS2 upgrade to the ACCESS-G numerical weather prediction system. Tech. Rep. 105, Bureau National Operations Centre, 32 pp., http://www.bom.gov.au/australia/charts/bulletins/APOB105.pdf.

4. The quiet revolution of numerical weather prediction;Bauer;Nature,2015

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