Towards an objective historical tropical cyclone dataset for the Australian region

被引:0
|
作者
Joseph B.Courtney [1 ]
ANDrew D.Burton [1 ]
Christopher S.Velden [2 ]
Timothy L.OlANDer [2 ]
Elizabeth A.Ritchie [3 ]
Clair Stark [3 ]
Leon Majewski [1 ]
机构
[1] Bureau of Meteorology
[2] CIMSS, University of Wisconsin-Madison
[3] University of New South Wales
关键词
Objective; tropical; cyclone; reanalysis; satellite; intensity; ADT;
D O I
暂无
中图分类号
P444 [热带气象];
学科分类号
0706 ; 070601 ;
摘要
The appropriate design of infrastructure in tropical cyclone(TC) prone regions requires an understanding of the hazard risk profile underpinned by an accurate, homogenous long-term TC dataset. The existing Australian region TC archive, or ’best track’(BT), suffers from inhomogeneities and an incomplete long-term record of key TC parameters. This study assesses mostly satellite-based objective techniques for 1981-2016, the period of a geostationary satellite imagery dataset corrected for navigation and calibration issues. The satellite-based estimates of Australian-region TCs suffer from a general degradation in the 1981 -1988 period owing to lower quality and availability of satellite imagery.The quality of the objective techniques for both intensity and structure is compared to the reference BT 2003-2016 estimates. For intensity the Advanced Dvorak Technique algorithm corresponds well with the BT 2003-2016, when the algorithm can use passive microwave data(PMW) as an input. For the period prior to 2003 when PMW data is unavailable, the intensity algorithm has a low bias. Systematic corrections were made to the non-PMW objective estimates to produce an extended(1989-2016) homogeneous dataset of maximum wind that has sufficient accuracy to be considered for use where a larger homogeneous sample size is valued over a shorter more accurate period of record. An associated record of central pressure using the Courtney-Knaff-Zehr wind pressure relationship was created.For size estimates, three techniques were investigated: the Deviation Angle Variance and the ’Knaff’ techniques(IR-based), while the ’Lok’ technique used model information(ECMWF reanalysis dataset and TC vortex specification from ACCESS-TC). However, results lacked sufficient skill to enable extension of the reliable period of record. The availability of scatterometer data makes the BT 2003-2016 dataset the most reliable and accurate. Recommendations regarding the best data source for each parameter for different periods of the record are summarised.
引用
收藏
页码:23 / 36
页数:14
相关论文
共 50 条
  • [32] AN OBJECTIVE TECHNIQUE FOR ESTIMATING PRESENT TROPICAL CYCLONE LOCATIONS
    CURRY, WT
    ELSBERRY, RL
    CHAN, JCL
    MONTHLY WEATHER REVIEW, 1987, 115 (06) : 1073 - 1082
  • [33] IMPROVING OBJECTIVE SATELLITE ESTIMATES OF TROPICAL CYCLONE INTENSITY
    ZEHR, RM
    FOURTH CONFERENCE ON SATELLITE METEOROLOGY AND OCEANOGRAPHY, 1989, : J25 - J28
  • [35] Advancements in Objective Multisatellite Tropical Cyclone Center Fixing
    Wimmers, Anthony J.
    Velden, Christopher S.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2016, 55 (01) : 197 - 212
  • [36] Revisions to the Australian tropical cyclone best track database
    Courtney, Joseph B.
    Foley, Gary R.
    van Burgel, Johannes L.
    Trewin, Blair
    Burton, Andrew D.
    Callaghan, Jeffrey
    Davidson, Noel E.
    JOURNAL OF SOUTHERN HEMISPHERE EARTH SYSTEMS SCIENCE, 2021, 71 (02): : 203 - 227
  • [37] TROPICAL CYCLONES OF THE AUSTRALIAN REGION
    PRICE, P
    WEATHERWISE, 1983, 36 (03) : 118 - 120
  • [38] The Modulating Influence of Indian Ocean Sea Surface Temperatures on Australian Region Seasonal Tropical Cyclone Counts
    Ramsay, H. A.
    Richman, M. B.
    Leslie, L. M.
    JOURNAL OF CLIMATE, 2017, 30 (13) : 4843 - 4856
  • [39] Barotropic instability in the tropical cyclone outer region
    Peng, Jiayi
    Li, Tim
    Peng, Melinda S.
    Ge, Xuyang
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2009, 135 (641) : 851 - 864
  • [40] Impacts of Ocean-Atmosphere Coupling on Tropical Cyclone Intensity Change and Ocean Prediction in the Australian Region
    Sandery, P. A.
    Brassington, G. B.
    Craig, A.
    Pugh, T.
    MONTHLY WEATHER REVIEW, 2010, 138 (06) : 2074 - 2091