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- Title
BARRA v1.0: Kilometre-scale downscaling of an Australian regional atmospheric reanalysis over four midlatitude domains.
- Authors
Chun-Hsu Su; Eizenberg, Nathan; Jakob, Dörte; Fox-Hughes, Paul; Steinle, Peter; White, Christopher J.; Franklin, Charmaine
- Abstract
The development of convection-permitting models (CPMs) in numerical weather prediction has facilitated the creation of km-scale (1-4 km) regional reanalysis and climate projections. The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) also aims to realise the benefits of these high-resolution models over Australian sub-regions for applications such as fire danger research, by nesting them in BARRA's 12 km regional reanalysis (BARRA-R). Four mid-latitude sub-regions are centred on Perth in Western Australia, Adelaide in South Australia, Sydney in New South Wales (NSW), and Tasmania. The resulting 29-year 1.5 km downscaled reanalyses (BARRA-C) are assessed for their added skill over BARRA-R and global reanalyses for near-surface parameters (temperature, wind and precipitation) at observation locations and against independent 5 km gridded analyses. BARRA-C demonstrates better agreement with point observations for temperature and wind, particularly in topographically complex regions and coastal regions. BARRA-C also improves upon BARRA-R in terms of intensity and timing of precipitation during the thunderstorm seasons in NSW, and spatial patterns of sub-daily rain fields during storm events. However, as a hindcast-only system, BARRA-C largely inherits the domain-averaged biases and temporal variations of biases from BARRA-R. Further, BARRA-C reflects known issues of CPMs: overestimation of heavy rain rates and rain cells, and underestimation of light rain occurrence.
- Subjects
NEW South Wales; THUNDERSTORMS; GIANT perch; NUMERICAL weather forecasting; DOWNSCALING (Climatology); METEOROLOGY
- Publication
Geoscientific Model Development Discussions, 2020, p1
- ISSN
1991-9611
- Publication type
Article
- DOI
10.5194/gmd-2020-366