Water Vapor Variability in the Tropical Western Pacific from 20-year Radiosonde Data

Junhong Wang; Harold L. Cole; David J. Carlson

Impact Factor: 3.9

Volume 18 Issue 5

Sep. 2001

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Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2001 > 18(5): 752-766

Water Vapor Variability in the Tropical Western Pacific from 20-year Radiosonde Data

1.
National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307,National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307,National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307

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Abstract:
The 20-year (1976-1995) daily radiosonde data at 17 stations in the tropical western Pacific was ana lyzed. The analysis shows that the atmosphere is more humid in a warmer climate on seasonal, inter-annual and long-term (20-year) time scales, implying a positive water vapor feedback. The vertical structure of the long-term trends in relative humidity (RH) is distinct from that on short-term (seasonal and inter-annual) time scales, suggesting that observed water vapor changes on short time scales could not be considered as a surrogate of long-term climate change. The increasing trend of RH (3%-5%/decade) in the upper troposphere is stronger than that in the lower troposphere (1%-2% / decade). Such vertical structure would amplify positive water vapor feedback in comparison to the common assumption of constant RH changes vertically. The empirical orthogonal function (EOF) analysis of vertical structure of RH variations shows distinct features of the vertical structure of the first three EOFs. The first three EOFs are optimal for repre sentation of water vapor profiles and provide some hints on physical mechanisms responsible for observed humidity variability. Vaisala radiosondes were used at nine stations, and VIZ radiosondes used at other eight stations. The Vaisala data are corrected for temperature-dependence error using the correction scheme developed by NCAR / ATD and Vaisala. The comparison of Vaisala and VIZ data shows that the VIZ-measured RHs after October 1993 have a moist bias of ～ 10% at RHs ＜ 20%. During 1976-1995, several changes in cluding both instruments and reporting practice have been made at Vaisala stations and introduce errors to long-term RH variations.
- Water vapor,
- Radiosonde
References

[1]	Houaria NAMAOUI, Salem KAHLOUCHE, Ahmed Hafid BELBACHIR, Roeland Van MALDEREN, Hugues BRENOT, Eric POTTIAUX, 2017: GPS Water Vapor and Its Comparison with Radiosonde and ERA-Interim Data in Algeria, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 623-634. doi: 10.1007/s00376-016-6111-1
[2]	WANG Xin, Lü Daren, 2005: Retrieval of Water Vapor Profiles with Radio Occultation Measurements Using an Artificial Neural Network, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 759-764. doi: 10.1007/BF02918719
[3]	BI Yanmeng, MAO Jietai, LI Chengcai, 2006: Preliminary Results of 4-D Water Vapor Tomography in the Troposphere Using GPS, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 551-560. doi: 10.1007/s00376-006-0551-y
[4]	PAN Yang, YU Rucong, LI Jian, XU Youping, 2008: A Case Study on the Role of Water Vapor from Southwest China in Downstream Heavy Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 563-576. doi: 10.1007/s00376-008-0563-x
[5]	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
[6]	Yufang TIAN, Daren LÜ, 2017: Comparison of Beijing MST Radar and Radiosonde Horizontal Wind Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 39-53. doi: 10.1007/s00376-016-6129-4
[7]	Yong ZHANG, Lejian ZHANG, Jianping GUO, Jinming FENG, Lijuan CAO, Yang WANG, Qing ZHOU, Liangxu LI, Bai LI, Hui XU, Lin LIU, Ning AN, Huan LIU, 2018: Climatology of Cloud-base Height from Long-term Radiosonde Measurements in China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 158-168. doi: 10.1007/s00376-017-7096-0
[8]	Hui XU, Jianping GUO, Jian LI, Lin LIU, Tianmeng CHEN, Xiaoran GUO, Yanmin LYU, Ding WANG, Yi HAN, Qi CHEN, Yong ZHANG, 2021: The Significant Role of Radiosonde-measured Cloud-base Height in the Estimation of Cloud Radiative Forcing, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1552-1565. doi: 10.1007/s00376-021-0431-5
[9]	Kazutoshi SATO, Jun INOUE, Akira YAMAZAKI, Naohiko HIRASAWA, Konosuke SUGIURA, Kyohei YAMADA, 2020: Antarctic Radiosonde Observations Reduce Uncertainties and Errors in Reanalyses and Forecasts over the Southern Ocean: An Extreme Cyclone Case, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 431-440. doi: 10.1007/s00376-019-8231-x
[10]	Jinqiang ZHANG, Hongbin CHEN, Xiang'ao XIA, Wei-Chyung WANG, 2016: Dynamic and Thermodynamic Features of Low and Middle Clouds Derived from Atmospheric Radiation Measurement Program Mobile Facility Radiosonde Data at Shouxian, China, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 21-33. doi: 10.1007/s00376-015-5032-8
[11]	YUE Caijun, GAO Shouting, LIU Lu, LI Xiaofan, 2015: A Diagnostic Study of the Asymmetric Distribution of Rainfall during the Landfall of Typhoon Haitang (2005), ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1419-1430. doi: 10.1007/s00376-015-4246-0
[12]	SHI Xueli, XIE Zhenghui, LIU Yiming, YANG Hongwei, 2007: Implementation of a Surface Runoff Model with Horton and Dunne Mechanisms into the Regional Climate Model RegCM_NCC, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 750-764. doi: 10.1007/s00376-007-0750-1
[13]	GUO Zhun, ZHOU Tianjun, 2013: Why Does FGOALS-gl Reproduce a Weak Medieval Warm Period But a Reasonable Little Ice Age and 20th Century Warming?, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1758-1770. doi: 10.1007/s00376-013-2227-8
[14]	Shaoyin WANG, Jiping LIU, Xiao CHENG, Richard J. GREATBATCH, Zixin WEI, Zhuoqi CHEN, Hua LI, 2023: Separation of Atmospheric Circulation Patterns Governing Regional Variability of Arctic Sea Ice in Summer, ADVANCES IN ATMOSPHERIC SCIENCES. doi: 10.1007/s00376-022-2176-1
[15]	Debashis NATH, CHEN Wen, 2013: Investigating the Dominant Source for the Generation of Gravity Waves during Indian Summer Monsoon Using Ground-based Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 153-166. doi: 10.1007/s00376-012-1273-y
[16]	Rui YANG, Lingkun RAN, Yuli ZHANG, Yi LIU, 2019: Analysis and Simulation of the Stratospheric Quasi-zero Wind Layer over Korla, Xinjiang Province, China, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1143-1155. doi: 10.1007/s00376-019-9045-6
[17]	SUN Li, SHEN Baizhu, SUI Bo, 2010: A Study on Water Vapor Transport and Budget of Heavy Rain in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1399-1414. doi: 10.1007/s00376-010-9087-2
[18]	TIAN Wenshou, Martyn P. CHIPPERFIELD, LU Daren, 2009: Impact of Increasing Stratospheric Water Vapor on Ozone Depletion and Temperature Change, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 423-437. doi: 10.1007/s00376-009-0423-3
[19]	BI Yun, CHEN Yuejuan, ZHOU Renjun, YI Mingjian, DENG Shumei, 2011: Simulation of the Effect of Water-vapor Increase on Temperature in the Stratosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 832-842. doi: 10.1007/s00376-010-0047-7
[20]	SUN Bo, ZHU Yali, WANG Huijun, 2011: The Recent Interdecadal and Interannual Variation of Water Vapor Transport over Eastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1039-1048. doi: 10.1007/s00376-010-0093-1

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Manuscript History

Manuscript received: 10 September 2001

Manuscript revised: 10 September 2001

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

Water Vapor Variability in the Tropical Western Pacific from 20-year Radiosonde Data

1. National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307,National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307,National Center for Atmospheric Research② P. O. Box 3000,Boulder, CO 80307

Manuscript received: 2001-09-10
Manuscript revised: 2001-09-10

Abstract: The 20-year (1976-1995) daily radiosonde data at 17 stations in the tropical western Pacific was ana lyzed. The analysis shows that the atmosphere is more humid in a warmer climate on seasonal, inter-annual and long-term (20-year) time scales, implying a positive water vapor feedback. The vertical structure of the long-term trends in relative humidity (RH) is distinct from that on short-term (seasonal and inter-annual) time scales, suggesting that observed water vapor changes on short time scales could not be considered as a surrogate of long-term climate change. The increasing trend of RH (3%-5%/decade) in the upper troposphere is stronger than that in the lower troposphere (1%-2% / decade). Such vertical structure would amplify positive water vapor feedback in comparison to the common assumption of constant RH changes vertically. The empirical orthogonal function (EOF) analysis of vertical structure of RH variations shows distinct features of the vertical structure of the first three EOFs. The first three EOFs are optimal for repre sentation of water vapor profiles and provide some hints on physical mechanisms responsible for observed humidity variability. Vaisala radiosondes were used at nine stations, and VIZ radiosondes used at other eight stations. The Vaisala data are corrected for temperature-dependence error using the correction scheme developed by NCAR / ATD and Vaisala. The comparison of Vaisala and VIZ data shows that the VIZ-measured RHs after October 1993 have a moist bias of ～ 10% at RHs ＜ 20%. During 1976-1995, several changes in cluding both instruments and reporting practice have been made at Vaisala stations and introduce errors to long-term RH variations.

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