Estimating Tropical Cyclone Precipitation  from Station Observations

REN Fumin; WANG Yongmei; WANG Xiaoling; LI Weijing

doi:10.1007/s00376-007-0700-y

Impact Factor: 5.8

Volume 24 Issue 4

Jul. 2007

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2007 > 24(4): 700-711

Estimating Tropical Cyclone Precipitation from Station Observations

1.
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; National Climate Center, China Meteorological Administration, Beijing 100081,Yuncheng Weather Bureau, Yuncheng 044000,National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081

doi: 10.1007/s00376-007-0700-y

Abstract
References
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Abstract:
In this paper, an objective technique for estimating the tropical cyclone (TC) precipitation from station observations is proposed. Based on a comparison between the Original Objective Method (OOM) and the Expert Subjective Method (ESM), the Objective Synoptic Analysis Technique (OSAT) for partitioning TC precipitation was developed by analyzing the western North Pacific (WNP) TC historical track and the daily precipitation datasets. Being an objective way of the ESM, OSAT overcomes the main problems in OOM, by changing two fixed parameters in OOM, the thresholds for the distance of the absolute TC precipitation D0 and the TC size D1, into variable parameters. Case verification for OSAT was also carried out by applying CMORPH (Climate Prediction Center MORPHing technique) daily precipitation measurements, which is NOAA's combined satellite precipitation measurement system. This indicates that OSAT is capable of distinguishing simultaneous TC precipitation rain-belts from those associated with different TCs or with middle-latitude weather systems.
- tropical cyclone precipitation,
- the Original Objective Method,
- comparison analysis,
- the Objective Synoptic Analysis Technique
References

[1]	S. K. Sinha, D. R. Talwalkar, S. Rajamani, 1987: ON SOME ASPECTS OF OBJECTIVE ANALYSIS OF HUMI-DITY OVER INDIAN REGION BY THE OPTIMUM INTERPOLATION METHOD, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 332-342. doi: 10.1007/BF02663603
[2]	S.K. Sinha, D.R. Talwalkar, S.G. Narkhedkar, S. Rajamani, 1989: A Scheme for Objective Analysis of Wind Field Incorporating Multi-Weighting Functions in the Optimum Interpolation Method, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 435-446. doi: 10.1007/BF03342547
[3]	S.K. Sinha, S. Rajamani, 1995: Multivariate Objective Analysis of Wind and Height Fields in the Tropics, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 233-244. doi: 10.1007/BF02656836
[4]	ZHAO Jun, SONG Junqiang, LI Zhenjun, 2003: Distributed Parallelization of a Global Atmospheric Data Objective Analysis System, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 159-163. doi: 10.1007/BF03342060
[5]	Mengru FENG, Yujing QIN, Chuhan LU, 2021: An Objective Identification Method for Wintertime Cold Fronts in Eurasia, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1695-1705. doi: 10.1007/s00376-021-0315-8
[6]	S. K. Sinha, S. G. Narkhedkar, D. R. Talwalkar, S. Rajamani, 1992: Some Experiments with Multivariate Objective Analysis Scheme of Heights and Winds Using Optimum Interpolation, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 431-440. doi: 10.1007/BF02677075
[7]	P. N. Mahajan, D. R. Talwalkar, S. Nair, S. Rajamani, 1992: Construction of Vertical Wind Profile from Satellite-Derived Winds for Objective Analysis of Wind Field, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 237-246. doi: 10.1007/BF02657514
[8]	S. K. Sinha, D, R. Talwalkar, S. G. Narkhedkar, P. L. Kulkarni, S. Nair, S. Rajamani, 1990: Use of Surface Observations to Estimate Upper Air Humidity for the Objective Analysis of Relative Humidity over Indian Region, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 491-501. doi: 10.1007/BF03342567
[9]	Fumin REN, Yanjun XIE, Biwen YIN, Mingyang WANG, Guoping LI, 2020: Establishment of an Objective Standard for the Definition of Binary Tropical Cyclones in the Western North Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1211-1221. doi: 10.1007/s00376-020-9287-3
[10]	CAO Xi, HUANG Ping, CHEN Guanghua, CHEN Wen, 2012: Modulation of Western North Pacific Tropical Cyclone Genesis by Intraseasonal Oscillation of the ITCZ: A Statistical Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 744-754. doi: 10.1007/s00376-012-1121-0
[11]	Wei Ming, Dang Renqing, Ge Wenzhong, Takao Takeda, 1998: Retrieval Single-Doppler Radar Wind with Variational Assimilation Method-Part I: Objective Selection of Functional Weighting Factors, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 553-568. doi: 10.1007/s00376-998-0032-6
[12]	Suping NIE, Tongwen WU, Yong LUO, Xueliang DENG, Xueli SHI, Zaizhi WANG, Xiangwen LIU, Jianbin HUANG, 2016: A Strategy for Merging Objective Estimates of Global Daily Precipitation from Gauge Observations, Satellite Estimates, and Numerical Predictions, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 889-904. doi: 10.1007/s00376-016-5223-y
[13]	Xu CHEN, Xiaoyong ZHUGE, Xidi ZHANG, Yuan WANG, Daokai XUE, 2023: Objective Identification and Climatic Characteristics of Heavy-Precipitation Northeastern China Cold Vortexes, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 305-316. doi: 10.1007/s00376-022-2037-y
[14]	Xiaofan LI, SHEN Xinyong, 2012: Temporal and Spatial Scale Dependence of Precipitation Analysis over the Tropical Deep Convective Regime, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1390-1394. doi: 10.1007/s00376-012-1269-7
[15]	Qiyang LIU, Fengxue QIAO, Yongqiang YU, Yiting ZHU, Shuwen ZHAO, Yujia LIU, Fulin JIANG, Xinyu HU, 2023: Bias Analysis in the Simulation of the Western North Paciﬁc Tropical Cyclone Characteristics by Two High-Resolution Global Atmospheric Models, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 634-652. doi: 10.1007/s00376-022-2159-2
[16]	ZHU Guofu, CHEN Shoujun, 2003: Analysis and Comparison of Mesoscale Convective Systems over the Qinghai-Xizang (Tibetan) Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 311-322. doi: 10.1007/BF02690789
[17]	ZHANG Renjian, XU Yongfu, HAN Zhiwei, 2004: A Comparison Analysis of Chemical Composition of Aerosols in the Dust and Non-Dust Periods in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 300-305. doi: 10.1007/BF02915718
[18]	Li Hongji, Xu Hong, Wang Ronghua, 1988: A HIGH-RESOLUTION ANALYSIS METHOD OF INSTABILITY ENERGY, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 75-86. doi: 10.1007/BF02657348
[19]	CHEN Guanghua, 2011: A Comparison of Precipitation Distribution of Two Landfalling Tropical Cyclones during the Extratropical Transition, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1390-1404. doi: 10.1007/s00376-011-0148-y
[20]	LAN Weiren, HUANG Sixun, XIANG Jie, 2004: Generalized Method of Variational Analysis for 3-D Flow, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 730-740. doi: 10.1007/BF02916370

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Manuscript History

Manuscript received: 10 July 2007

Manuscript revised: 10 July 2007

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Estimating Tropical Cyclone Precipitation from Station Observations

1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; National Climate Center, China Meteorological Administration, Beijing 100081,Yuncheng Weather Bureau, Yuncheng 044000,National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081

Manuscript received: 2007-07-10
Manuscript revised: 2007-07-10

Abstract: In this paper, an objective technique for estimating the tropical cyclone (TC) precipitation from station observations is proposed. Based on a comparison between the Original Objective Method (OOM) and the Expert Subjective Method (ESM), the Objective Synoptic Analysis Technique (OSAT) for partitioning TC precipitation was developed by analyzing the western North Pacific (WNP) TC historical track and the daily precipitation datasets. Being an objective way of the ESM, OSAT overcomes the main problems in OOM, by changing two fixed parameters in OOM, the thresholds for the distance of the absolute TC precipitation D0 and the TC size D1, into variable parameters. Case verification for OSAT was also carried out by applying CMORPH (Climate Prediction Center MORPHing technique) daily precipitation measurements, which is NOAA's combined satellite precipitation measurement system. This indicates that OSAT is capable of distinguishing simultaneous TC precipitation rain-belts from those associated with different TCs or with middle-latitude weather systems.

Keywords: