Open Access
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volume 12 issue 5 pages 2049-2068

BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia

Chun-Hsu Su 1
Nathan Eizenberg 1
Peter Steinle 1
Dörte Jakob 1
Paul Fox-Hughes 2
Christopher J. White 3, 4
Susan Rennie 1
C. Franklin 1
I. Dharssi 1
Hongyan Zhu 1
1
 
Bureau of Meteorology, Docklands, Victoria, 3008, Australia
2
 
Bureau of Meteorology, Hobart, Tasmania 7000, Australia
3
 
Antarctic Climate and Ecosystems Cooperative Research Centre, Hobart, Australia
Publication typeJournal Article
Publication date2019-05-24
scimago Q1
wos Q1
SJR1.967
CiteScore7.8
Impact factor4.9
ISSN1991959X, 19919603
General Medicine
Abstract

Abstract. The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) is the first atmospheric regional reanalysis over a large region covering Australia, New Zealand, and Southeast Asia. The production of the reanalysis with approximately 12 km horizontal resolution – BARRA-R – is well underway with completion expected in 2019. This paper describes the numerical weather forecast model, the data assimilation methods, the forcing and observational data used to produce BARRA-R, and analyses results from the 2003–2016 reanalysis. BARRA-R provides a realistic depiction of the meteorology at and near the surface over land as diagnosed by temperature, wind speed, surface pressure, and precipitation. Comparing against the global reanalyses ERA-Interim and MERRA-2, BARRA-R scores lower root mean square errors when evaluated against (point-scale) 2 m temperature, 10 m wind speed, and surface pressure observations. It also shows reduced biases in daily 2 m temperature maximum and minimum at 5 km resolution and a higher frequency of very heavy precipitation days at 5 and 25 km resolution when compared to gridded satellite and gauge analyses. Some issues with BARRA-R are also identified: biases in 10 m wind, lower precipitation than observed over the tropical oceans, and higher precipitation over regions with higher elevations in south Asia and New Zealand. Some of these issues could be improved through dynamical downscaling of BARRA-R fields using convective-scale (<2 km) models.

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GOST Copy
Su C. et al. BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia // Geoscientific Model Development. 2019. Vol. 12. No. 5. pp. 2049-2068.
GOST all authors (up to 50) Copy
Su C., Eizenberg N., Steinle P., Jakob D., Fox-Hughes P., White C. J., Rennie S., Franklin C., Dharssi I., Zhu H. BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia // Geoscientific Model Development. 2019. Vol. 12. No. 5. pp. 2049-2068.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.5194/gmd-12-2049-2019
UR - https://doi.org/10.5194/gmd-12-2049-2019
TI - BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia
T2 - Geoscientific Model Development
AU - Su, Chun-Hsu
AU - Eizenberg, Nathan
AU - Steinle, Peter
AU - Jakob, Dörte
AU - Fox-Hughes, Paul
AU - White, Christopher J.
AU - Rennie, Susan
AU - Franklin, C.
AU - Dharssi, I.
AU - Zhu, Hongyan
PY - 2019
DA - 2019/05/24
PB - Copernicus
SP - 2049-2068
IS - 5
VL - 12
SN - 1991-959X
SN - 1991-9603
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Su,
author = {Chun-Hsu Su and Nathan Eizenberg and Peter Steinle and Dörte Jakob and Paul Fox-Hughes and Christopher J. White and Susan Rennie and C. Franklin and I. Dharssi and Hongyan Zhu},
title = {BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia},
journal = {Geoscientific Model Development},
year = {2019},
volume = {12},
publisher = {Copernicus},
month = {may},
url = {https://doi.org/10.5194/gmd-12-2049-2019},
number = {5},
pages = {2049--2068},
doi = {10.5194/gmd-12-2049-2019}
}
MLA
Cite this
MLA Copy
Su, Chun-Hsu, et al. “BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia.” Geoscientific Model Development, vol. 12, no. 5, May. 2019, pp. 2049-2068. https://doi.org/10.5194/gmd-12-2049-2019.