Multiscale Spatiotemporal Variations of GNSS-Derived Precipitable Water Vapor over Yunnan

Author:

Wang Minghua123ORCID,Lv Zhuochen1,Wu Weiwei4,Li Du5,Zhang Rui6,Sun Chengzhi13

Affiliation:

1. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

2. Shanghai Key Laboratory of Space Navigation and Positioning Techniques, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China

3. Technology Innovation Center for Integration Applications in Remote Sensing and Navigation, Ministry of Natural Resources, Nanjing 210044, China

4. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China

5. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China

6. College of Nature Resource and Environment, South China Agricultural University, Guangzhou 510642, China

Abstract

The geographical location of Yunnan province is at the upstream area of water vapor transportation from the Bay of Bengal and the South China Sea to inland China. Understanding the spatiotemporal variations of water vapor over this region holds significant importance. We utilized the Global Navigation Satellite System (GNSS) data collected from 12 stations situated in Yunnan, which are part of the Crustal Movement Observation Network of China, to retrieve hourly precipitable water vapor (PWV) data from 2011 to 2022. The retrieved PWV data at Station KMIN were evaluated by the nearby radiosonde data, and the results show that the mean bias and RMS of the differences between the two datasets are 0.08 and 1.78 mm, respectively. Average PWV values at these stations are in the range of 11.77 to 33.53 mm, which decrease from the southwest to the north of Yunnan and are negatively correlated with the stations’ heights and latitudes. Differences between average PWV in the wet season and dry season range from 12 to 27 mm. These differences tend to increase as the average PWV increases. The yearly rates of PWV variations, averaging 0.18 mm/year, are all positive for the stations, indicating a year-by-year increase in water vapor. The amplitudes of the PWV annual cycles are 9.75–20.94 mm. The spatial variation of these amplitudes is similar to that of the average PWV over the region. Generally, monthly average PWV values increase from January to July and decrease from July to December, and the growth rate is less than the decline rate. Average diurnal PWV variations show unimodal PWV distributions over the course of the day at the stations except Station YNRL, where bimodal PWV distribution was observed.

Funder

National Natural Science Foundation of China

Shanghai Key Laboratory of Space Navigation and Positioning Techniques

Research Program of China Seismic Experimental Site

Open Fund of Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources

Guangdong Basic and Applied Basic Research Foundation

the Guangzhou Science and Technology Plan Project

Publisher

MDPI AG

Reference46 articles.

1. Satellite observations of the water vapor greenhouse effect and column longwave cooling rates: Relative roles of the continuum and vibration-rotation to pure rotation bands;Anand;J. Geophys. Res.-Atmos.,2004

2. Easterbrook, D. (2016). Evidence-Based Climate Science: Data Opposing CO2 Emissions as the Primary Source of Global Warming, Elsevier. [2nd ed.].

3. Mills, E. (2015). Weather Studies: Introduction to Atmospheric Science, American Meteorological Society. [6th ed.].

4. Salby, M. (1996). Fundamentals of Atmospheric Physics, Academic Press.

5. Radiation dry bias correction of Vaisala RS92 humidity data and its impacts on historical radiosonde data;Wang;J. Atmos. Ocean. Technol.,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3