Evaluation of Satellite and Reanalysis Precipitable Water Vapor Data Sets Against Radiosonde Observations in Central Asia

被引:48
|
作者
Jiang, Jie [1 ,2 ]
Zhou, Tianjun [1 ,2 ,3 ]
Zhang, Wenxia [1 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
[3] Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
来源
EARTH AND SPACE SCIENCE | 2019年 / 6卷 / 07期
关键词
CLIMATE-CHANGE; TEMPERATURE; PRODUCTS; GPS; UNCERTAINTIES; ASSIMILATION; VALIDATION; BIASES; TREND; CYCLE;
D O I
10.1029/2019EA000654
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Central Asia is facing severe water shortages and conflicts. The spatiotemporal variations of precipitable water vapor (PWV) are important aspects in understanding the water cycle and water resources. However, station observations in central Asia are limited and the performance of satellite and reanalysis products of PWV in central Asia has not been evaluated. Based on radiosonde observations, we show evidence that the two satellite products, namely, Atmospheric Infrared Sounder-only and Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit, are applicable to investigate the spatiotemporal characteristics of PWV in central Asia. The two satellite products can capture the main climatological features, annual cycle, and monthly variations of PWV in central Asia, with high correlations with radiosonde observations, although slightly underestimate PWV values by -15% to 0%. All the eight current state-of-the-art reanalysis data sets, including European Centre for Medium-Range Weather Forecasts (ECMWF) interim reanalysis, the fifth generation ECMWF atmospheric reanalysis (ERAS), National Centers for Environmental Prediction (NCEP)1, NCEP2, Climate Forecast System Reanalysis, 55-year modern Japanese Reanalysis Project, Modern Era Retrospective-Analysis for Research and Applications (MERRA), and MERRA version 2 (MERRA2), can reasonably reproduce the spatiotemporal variations of PWV, although with an overestimation in spring, autumn, and winter and an underestimation in summer. ERAS and MERRA2 (NCEP1 and NCEP2) perform better (poorer) compared with other reanalysis data sets. A skill-weighted ensemble mean of reanalysis data sets is constructed based on the different performance of individual data sets. It is better for understanding the climatological spatial pattern than the equally weighted ensemble mean and individual reanalysis data sets, while ERAS is suggested to be used for revealing the interannual variations of PWV in central Asia.
引用
收藏
页码:1129 / 1148
页数:20
相关论文
共 50 条
  • [21] Evaluation of Five Reanalysis Products With Radiosonde Observations Over the Central Taklimakan Desert During Summer
    Huang, Jie
    Yin, Jinfang
    Wang, Minzhong
    He, Qing
    Guo, Jianping
    Zhang, Jiantao
    Liang, Xudong
    Xie, Yanxin
    EARTH AND SPACE SCIENCE, 2021, 8 (05)
  • [22] Evaluating Precipitable Water Vapor Products From Fengyun-4A Meteorological Satellite Using Radiosonde, GNSS, and ERA5 Data
    Tan, Jingshu
    Chen, Biyan
    Wang, Wei
    Yu, Wenkun
    Dai, Wujiao
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [23] Estimation and Evaluation of the Precipitable Water Vapor from GNSS PPP in Asia Region
    Liu, Zhimin
    Li, Yangyang
    Li, Fei
    Guo, Jinyun
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2017, VOL I, 2017, 437 : 80 - 90
  • [24] Spatiotemporal analysis of precipitable water vapor using ANFIS and comparison against voxel-based tomography and radiosonde
    Mir-Reza Ghaffari Razin
    Samed Inyurt
    GPS Solutions, 2022, 26
  • [25] Spatiotemporal analysis of precipitable water vapor using ANFIS and comparison against voxel-based tomography and radiosonde
    Ghaffari Razin, Mir-Reza
    Inyurt, Samed
    GPS SOLUTIONS, 2022, 26 (01)
  • [26] Lower Stratospheric Water Vapor Variations Diagnosed from Satellite Observations,Reanalysis Data, and a Chemistry–Climate Model
    Yan XIA
    Yi HUANG
    Yongyun HU
    Jun YANG
    Journal of Meteorological Research, 2021, 35 (04) : 701 - 715
  • [27] Lower Stratospheric Water Vapor Variations Diagnosed from Satellite Observations, Reanalysis Data, and a Chemistry—Climate Model
    Yan Xia
    Yi Huang
    Yongyun Hu
    Jun Yang
    Journal of Meteorological Research, 2021, 35 : 701 - 715
  • [28] Calibration and Evaluation of Precipitable Water Vapor From MODIS Infrared Observations at Night
    Chang, Liang
    Gao, Guoping
    Jin, Shuanggen
    He, Xiufeng
    Xiao, Ruya
    Guo, Lixin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05): : 2612 - 2620
  • [29] Verification of NWP Model Analyses and Radiosonde Humidity Data with GPS Precipitable Water Vapor Estimates during AMMA
    Bock, O.
    Nuret, M.
    WEATHER AND FORECASTING, 2009, 24 (04) : 1085 - 1101
  • [30] Precipitable water vapor estimation in India from GPS-derived zenith delays using radiosonde data
    Singh, Dinesh
    Ghosh, Jayanta Kumar
    Kashyap, Deepak
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2014, 123 (3-4) : 209 - 220