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

被引:90
|
作者
Su, Chun-Hsu [1 ]
Eizenberg, Nathan [1 ]
Steinle, Peter [1 ]
Jakob, Dorte [1 ]
Fox-Hughes, Paul [2 ]
White, Christopher J. [3 ,4 ]
Rennie, Susan [1 ]
Franklin, Charmaine [1 ]
Dharssi, Imtiaz [1 ]
Zhu, Hongyan [1 ]
机构
[1] Bur Meteorol, Docklands, Vic 3008, Australia
[2] Bur Meteorol, Hobart, Tas 7000, Australia
[3] Univ Strathclyde, Dept Civil & Environm Engn, Glasgow, Lanark, Scotland
[4] Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia
关键词
TRACKED-BALLOON ARCHIVE; OFFICE UNIFIED MODEL; DATA ASSIMILATION; CLIMATE MODEL; BIAS CORRECTION; WIND-SPEED; GLOBAL RADIOSONDE; BOUNDARY-LAYER; SIMULATION; WEATHER;
D O I
10.5194/gmd-12-2049-2019
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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) 2m temperature, 10m wind speed, and surface pressure observations. It also shows reduced biases in daily 2m 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 10m 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.
引用
收藏
页码:2049 / 2068
页数:20
相关论文
共 50 条
  • [1] BARRA v1.0: kilometre-scale downscaling of an Australian regional atmospheric reanalysis over four midlatitude domains
    Su, Chun-Hsu
    Eizenberg, Nathan
    Jakob, Dorte
    Fox-Hughes, Paul
    Steinle, Peter
    White, Christopher J.
    Franklin, Charmaine
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2021, 14 (07) : 4357 - 4378
  • [2] Verification of moist surface variables over northern Australia in a high-resolution reanalysis (BARRA)
    May, Peter T.
    Trewin, Blair
    Su, Chun-Hsu
    Ostendorf, Bertram
    [J]. JOURNAL OF SOUTHERN HEMISPHERE EARTH SYSTEMS SCIENCE, 2021, 71 (02): : 194 - 202
  • [3] High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment
    Loew, Alexander
    Peng, Jian
    Borsche, Michael
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (07) : 2499 - 2532
  • [4] CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations
    He, Wei
    van der Velde, Ivar R.
    Andrews, Arlyn E.
    Sweeney, Colm
    Miller, John
    Tans, Pieter
    van der Laan-Luijkx, Ingrid T.
    Nehrkorn, Thomas
    Mountain, Marikate
    Ju, Weimin
    Peters, Wouter
    Chen, Huilin
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2018, 11 (08) : 3515 - 3536
  • [5] DynQual v1.0: a high-resolution global surface water quality model
    Jones, Edward R.
    Bierkens, Marc F. P.
    Wanders, Niko
    Sutanudjaja, Edwin H.
    van Beek, Ludovicus P. H.
    van Vliet, Michelle T. H.
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2023, 16 (15) : 4481 - 4500
  • [6] SnowClim v1.0: high-resolution snow model and data for the western United States
    Lute, Abby C.
    Abatzoglou, John
    Link, Timothy
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (13) : 5045 - 5071
  • [7] A review of early severe weather applications of high-resolution regional reanalysis in Australia
    Fox-Hughes, Paul
    Su, Chun-Hsu
    Eizenberg, Nathan
    White, Christopher
    Steinle, Peter
    Jakob, Doerte
    Black, Mitchell
    Dowdy, Andrew
    Brown, Andrew
    Nathan, Rory
    Acharya, Suwash Chandra
    [J]. METEOROLOGICAL APPLICATIONS, 2022, 29 (04)
  • [8] APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region
    Turquety, S.
    Menut, L.
    Bessagnet, B.
    Anav, A.
    Viovy, N.
    Maignan, F.
    Wooster, M.
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7 (02) : 587 - 612
  • [9] An Evaluation of MERA, a High-Resolution Mesoscale Regional Reanalysis
    Whelan, Eoin
    Gleeson, Emily
    Hanley, John
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2018, 57 (09) : 2179 - 2196
  • [10] An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences
    Lynch, Peng
    Reid, Jeffrey S.
    Westphal, Douglas L.
    Zhang, Jianglong
    Hogan, Timothy F.
    Hyer, Edward J.
    Curtis, Cynthia A.
    Hegg, Dean A.
    Shi, Yingxi
    Campbell, James R.
    Rubin, Juli I.
    Sessions, Walter R.
    Turk, F. Joseph
    Walker, Annette L.
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (04) : 1489 - 1522