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Estimations of Precipitable Water and Its Characteristics during the HUBEX/IOP 1998


doi: 10.1007/s00376-003-0007-6

  • GMS-5 satellite data at channels of infrared split windows and water vapor are analyzed to retrieve the precipitable water (PW) distributions under cloud-free conditions. Radiosonde data and surface station data are applied to estimate the PW distributions under cloudy conditions. These two methods are then merged to obtain the PW distributions under ali-weather conditions during the Huaihe River Basin Energy and Water Cycle Experiment (HUBEX). The results of the all-weather PW distributions from these methods demonstrate that this new merging technique may be applied to derive large-scale or global maps of PW. It is revealed that the atmospheric water vapor over the Yangtze-Huaihe River Basins came mainly from the southwest during the 1998 prevailing period of Meiyu. Sufficient atmospheric PW is a necessary condition for ground rainfall. Under certain dynamic conditions, it can be partially transformed into surface precipitation. Several types of rain are displayed and their PW conditions and characteristics,as well as atmospheric dynamic conditions, are analyzed. It is demonstrated that surface precipitation centers usually appear not at the high PW centers but on their downwind sides.
  • [1] P. Ernest Raj, P.C.S. Devara, 1997: Seasonal Variations in the Vertical Structure of Water Vapor Optical Depth in the Lower Troposphere over a Tropical Station, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 103-110.  doi: 10.1007/s00376-997-0062-5
    [2] P. Ernest Raj, P.C.S. Devara, 1997: Seasonal Variations in the Vertical Structure of Water Vapor Optical Depth in the Lower Troposphere over a Tropical Station, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 425-432.  doi: 10.1007/s00376-997-0049-2
    [3] Ha-Taek KWON, Eui-Hyun JUNG, Gyu-Ho LIM, 2010: A Comparison of GPS- and NWP-derived PW Data over the Korean Peninsula, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 871-882.  doi: 10.1007/s00376-009-9069-4
    [4] DING Jincai, YANG Yinming, YE Qixin, HUANG Yan, MA Xiaoxing, MA Leiming, Y. R. GUO, 2007: Moisture Analysis of a Squall Line Case Based on Precipitable Water Vapor Data from a Ground-Based GPS Network in the Yangtze River Delta, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 409-420.  doi: 10.1007/s00376-007-0409-y
    [5] PENG Xindong, CHANG Yan, LI Xingliang, XIAO Feng, 2010: Application of the Characteristic CIP Method to a Shallow Water Model on the Sphere, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 728-740.  doi: 10.1007/s00376-009-9148-6
    [6] Jing WANG, Bin WANG, Juanjuan LIU, Yongzhu LIU, Jing CHEN, Zhenhua HUO, 2020: Application and Characteristic Analysis of the Moist Singular Vector in GRAPES-GEPS, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1164-1178.  doi: 10.1007/s00376-020-0092-9
    [7] Eun-Han KWON, Jinlong LI, B. J. SOHN, Elisabeth WEISZ, 2012: Use of Total Precipitable Water Classification of A Priori Error and Quality Control in Atmospheric Temperature and Water Vapor Sounding Retrieval, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 263-273.  doi: 10.1007/s00376-011-1119-z
    [8] Wei Chong, Xue Yongkang, Zhu Xiaoming, Zou Shouxiang, 1984: DETERMINATION OF ATMOSPHERIC PRECIPITABLE WATER AND HUMIDITY PROFILES BY A GROUND-BASED 1.35 cm RADIOMETER, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 119-139.  doi: 10.1007/BF03187623
    [9] Cao Hongxing, 1987: A TECHNIQUE FOR VERIFICATION OF WEATHER FORECAST AND CLIMATE SIMULATION WITH FUZZY SETS, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 363-374.  doi: 10.1007/BF02663606
    [10] HUANG Yi, WANG Meihua, MAO Jietai, 2004: Retrieval of Upper Tropospheric Relative Humidity by the GMS-5 Water Vapor Channel: A Study of the Technique, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 53-60.  doi: 10.1007/BF02915680
    [11] ZHANG Meng, NI Yunqi, ZHANG Fuqing, 2007: Variational Assimilation of GPS Precipitable Water Vapor and Hourly Rainfall Observations for a Meso- Scale Heavy Precipitation Event During the 2002 Mei-Yu Season, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 509-526.  doi: 10.1007/s00376-007-0509-8
    [12] YANG Lu, WANG Zhenhui, CHU Yanli, ZHAO Hang, TANG Min, 2014: Water Vapor Motion Signal Extraction from FY-2E Longwave Infrared Window Images for Cloud-free Regions: The Temporal Difference Technique, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1386-1394.  doi: 10.1007/s00376-014-3165-9
    [13] HUANG Jianping, 2006: Analysis of Ice Water Path Retrieval Errors Over Tropical Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 165-180.  doi: 10.1007/s00376-006-0165-4
    [14] Zhaoliang ZENG, Zemin WANG, Minghu DING, Xiangdong ZHENG, Xiaoyu SUN, Wei ZHU, Kongju ZHU, Jiachun AN, Lin ZANG, Jianping GUO, Baojun ZHANG, 2021: Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1497-1509.  doi: 10.1007/s00376-021-0386-6
    [15] SHOU Yixuan, LI Shenshen, SHOU Shaowen, ZHAO Zhongming, 2006: Application of a Cloud-Texture Analysis Scheme to the Cloud Cluster Structure Recognition and Rainfall Estimation in a Mesoscale Rainstorm Process, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 767-774.  doi: 10.1007/s00376-006-0767-x
    [16] Shuang LUO, Yunfei FU, Shengnan ZHOU, Xiaofeng WANG, Dongyong WANG, 2020: Analysis of the Relationship between the Cloud Water Path and Precipitation Intensity of Mature Typhoons in the Northwest Pacific Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 359-376.  doi: 10.1007/s00376-020-9204-9
    [17] GAO Wenhua, SUI Chung-Hsiung, 2013: A Modeling Analysis of Rainfall and Water Cycle by the Cloud-resolving WRF Model over the Western North Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1695-1711.  doi: 10.1007/s00376-013-2288-8
    [18] Zhao Gaoxiang, 1998: Analysis of the Ability of Infrared Water Vapor Channel for Moisture Remote Sensing in the Lower Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 107-112.  doi: 10.1007/s00376-998-0022-8
    [19] MU Mu, DUAN Wansuo, XU Hui, WANG Bo, 2006: Applications of Conditional Nonlinear Optimal Perturbation in Predictability Study and Sensitivity Analysis of Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 992-1002.  doi: 10.1007/s00376-006-0992-3
    [20] Kang Hongwen, Gu Xiangqian, Liu Chongjian, Wang Pengyun, 2002: Adaptive Grid Technique Based on the Variational Principle and Its Weight Functions, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 705-718.  doi: 10.1007/s00376-002-0010-3

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Manuscript History

Manuscript received: 10 March 2003
Manuscript revised: 10 March 2003
通讯作者: 陈斌, bchen63@163.com
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Estimations of Precipitable Water and Its Characteristics during the HUBEX/IOP 1998

  • 1. Chinese Academy of Meteorological Sciences, Beijing 100081;Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Chinese Academy of Meteorological Sciences, Beijing 100081,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871,Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871

Abstract: GMS-5 satellite data at channels of infrared split windows and water vapor are analyzed to retrieve the precipitable water (PW) distributions under cloud-free conditions. Radiosonde data and surface station data are applied to estimate the PW distributions under cloudy conditions. These two methods are then merged to obtain the PW distributions under ali-weather conditions during the Huaihe River Basin Energy and Water Cycle Experiment (HUBEX). The results of the all-weather PW distributions from these methods demonstrate that this new merging technique may be applied to derive large-scale or global maps of PW. It is revealed that the atmospheric water vapor over the Yangtze-Huaihe River Basins came mainly from the southwest during the 1998 prevailing period of Meiyu. Sufficient atmospheric PW is a necessary condition for ground rainfall. Under certain dynamic conditions, it can be partially transformed into surface precipitation. Several types of rain are displayed and their PW conditions and characteristics,as well as atmospheric dynamic conditions, are analyzed. It is demonstrated that surface precipitation centers usually appear not at the high PW centers but on their downwind sides.

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