Application of Contiguous Rain Area (CRA) Methods to Tropical Cyclone Rainfall Forecast Verification

被引:20
|
作者
Chen, Yingjun [1 ,2 ]
Ebert, Elizabeth E. [3 ]
Davidson, Noel E. [3 ]
Walsh, Kevin J. E. [2 ]
机构
[1] Bur Meteorol, Perth, WA, Australia
[2] Univ Melbourne, Sch Earth Sci, Melbourne, Vic, Australia
[3] Bur Meteorol, Melbourne, Vic, Australia
来源
EARTH AND SPACE SCIENCE | 2018年 / 5卷 / 11期
基金
澳大利亚研究理事会;
关键词
typhoon; hurricane; precipitation; spatial verification; evaluation; model forecast; OBJECT-BASED VERIFICATION; PRECIPITATION FORECASTS; VALIDATION; SYSTEMS; TRACK; QPF;
D O I
10.1029/2018EA000412
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
This study demonstrates the useful information that can be derived from contiguous rain area (CRA) evaluation, such as systematic errors in tropical cyclone (TC) rainfall location and components of rainfall error due to incorrect predictions of location, rain volume, and rain pattern. CRA verification uses pattern matching techniques to determine the location error, as well as errors in area, mean and maximum intensity, and spatial pattern. In this study, CRA verification was applied to evaluate Australian Community Climate and Earth System Simulator (ACCESS)-TC, the TC version of ACCESS, daily rainfall forecasts over 15 TCs in the north west Pacific ocean during 2012-2013, by comparing with Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite estimates. The results showed that pattern error was the major contributor to the total TC rainfall forecast error, followed by volume and displacement. ACCESS-TC forecasts tended to predict more rainfall closer to the TC center compared to Tropical Rainfall Measuring Mission (TRMM) 3B42 estimates. This bias occurred for different CRA rainfall thresholds, verification grid resolutions and forecast lead times. Furthermore, rain event verification showed that for short lead time (24hr) forecasts, overestimation of rain volume was a major problem for ACCESS-TC forecasts, while displacement error was more significant in longer lead time (72hr) forecasts. Finally, we compared empirical probability distribution functions and radial probability distributions of rainfall in the forecasts and observations to further characterise the rain volume error. This confirmed that ACCESS-TC tended to produce more extreme rain in the locations closer to the TC center (eyewall).
引用
收藏
页码:736 / 752
页数:17
相关论文
共 50 条
  • [1] NGFS rainfall forecast verification over India using the contiguous rain area (CRA) method
    Sharma, Kuldeep
    Ashrit, Raghavendra
    Ebert, Elizabeth
    Iyengar, Gopal
    Mitra, Ashis
    MAUSAM, 2015, 66 (03): : 415 - 422
  • [2] Toward Better Understanding of the Contiguous Rain Area (CRA) Method for Spatial Forecast Verification
    Ebert, Elizabeth E.
    Gallus, William A., Jr.
    WEATHER AND FORECASTING, 2009, 24 (05) : 1401 - 1415
  • [3] Advancing Tropical Cyclone Precipitation Forecast Verification Methods and Tools
    Newman, Kathryn M.
    Brown, Barbara
    Gotway, John Halley
    Bernardet, Ligia
    Biswas, Mrinal
    Jensen, Tara
    Nance, Louisa
    WEATHER AND FORECASTING, 2023, 38 (09) : 1589 - 1603
  • [4] Verification of tropical cyclone motion and rainfall forecast over North Indian Ocean
    Pavani, G.
    Bhate, Jyoti
    Kesarkar, Amit
    Panchal, Abhishek
    Krishna, P. Vamsi
    JOURNAL OF EARTH SYSTEM SCIENCE, 2023, 132 (03)
  • [5] Verification of tropical cyclone motion and rainfall forecast over North Indian Ocean
    G Pavani
    Jyoti Bhate
    Amit Kesarkar
    Abhishek Panchal
    P Vamsi Krishna
    Journal of Earth System Science, 132
  • [6] Recent advances in landfalling tropical cyclone asymmetric rainfall mechanism and forecast verification over China
    Yu, Zifeng
    Chen, Peiyan
    Ren, Fumin
    Tang, Lichun
    Wang, Weiwei
    Yu, Hui
    Zhao, Kun
    TROPICAL CYCLONE RESEARCH AND REVIEW, 2024, 13 (01) : 33 - 40
  • [7] An Alternative Tropical Cyclone Intensity Forecast Verification Technique
    Aberson, Sim D.
    WEATHER AND FORECASTING, 2008, 23 (06) : 1304 - 1310
  • [8] AN OPERATIONAL STATISTICAL SCHEME FOR TROPICAL CYCLONE INDUCED RAINFALL FORECAST
    Li Qing-lan
    Lan Hong-ping
    Chan, Johnny C. L.
    Cao Chun-yan
    Li Cheng
    Wang Xing-bao
    JOURNAL OF TROPICAL METEOROLOGY, 2015, 21 (02) : 101 - 110
  • [9] AN OPERATIONAL STATISTICAL SCHEME FOR TROPICAL CYCLONE INDUCED RAINFALL FORECAST
    李晴岚
    兰红平
    陈仲良
    曹春燕
    李程
    王兴宝
    Journal of Tropical Meteorology, 2015, 21 (02) : 101 - 110
  • [10] A Case Study of Deterministic Forecast Verification: Tropical Cyclone Intensity
    Moskaitis, Jonathan R.
    WEATHER AND FORECASTING, 2008, 23 (06) : 1195 - 1220