论文推荐|南京信息工程大学王明华副教授:基于GNSS反演的云南地区大气可降水量多尺度时空变化研究

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

基于GNSS反演的云南地区大气可降水量多尺度时空变化研究

Minghua Wang(王明华)
Huochen Lv(吕卓宸)
Weiwei Wu(吴伟伟)
Du Li(李度)
Rui Zhang(张瑞)
Chengzhi Sun(孙承志)

School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology (南京信息工程大学 遥感与测绘工程学院)
Shanghai Astronomical Observatory, Chinese Academy of Sciences (中国科学院 上海天文台)
Technology Innovation Center for Integration Applications in Remote Sensing and Navigation(自然资源部遥感导航一体化应用工程创新中心)
Institute of Earthquake Forecasting, China Earthquake Administration(中国地震局地震预测研究所)
College of Nature Resource and Environment, South China Agricultural University(华南农业大学 资源环境学院)

引文格式 | Citation:
WANG M, LV Z, WU W, et al. Multiscale Spatiotemporal Variations of GNSS-Derived Precipitable Water Vapor over Yunnan[J]. Remote Sensing, 2024, 16(2): 412. DOI:10.3390/rs16020412.

Remote Sensing(中科院2区,IF:4.1)
global navigation satellite system
precipitable water vapor
secular trend
annual cycle
diurnal variation
radiosonde
Abstract | 摘要
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.
云南省位于孟加拉湾和南海向中国内陆输送水汽的上游区域,深入理解该地区水汽的时空变化特征具有重要意义。本研究基于中国地壳运动观测网络中位于云南的12个站点2011–2022年的全球导航卫星系统(GNSS)观测数据,反演得到了逐小时大气可降水量(PWV)。以KMIN站为例,利用同期无线电探空数据对GNSS反演结果进行验证,两者差异的平均偏差和均方根误差分别为0.08 mm和1.78 mm。研究区域内各站的平均PWV介于11.77~33.53 mm之间,整体呈现从西南向北部递减的空间分布特征,且与站点高程和纬度呈负相关。湿季与干季的季节平均PWV的差值在12~27 mm之间,且差值随着平均PWV值的增加而增大。所有站点的PWV年变化率均为正值(平均0.18 mm/年),表明水汽含量呈逐年上升趋势。PWV年变化振幅为9.75~20.94 mm,其空间分布与区域平均PWV空间分布较为一致。月平均PWV通常于1月至7月间上升,7月至12月间下降,且上升速率小于下降速率。除YNRL站呈现双峰分布外,其余各站PWV日变化均表现为单峰分布。

作者简介
王明华(1983-),男,副教授,主要从事GNSS气象应用和GNSS高精度定位研究