A study of the validation of atmospheric CO2 from satellite hyper spectral remote sensing

被引:0
|
作者
ZHANG Miao [1 ]
ZHANG Xing-Ying [1 ]
LIU Rui-Xia [1 ]
HU Lie-Qun [2 ]
机构
[1] Key Lab of Radiometric Calibration and Validation for Environmental Satellites/National Satellite Meteorological Center,China Meteorological Administration
[2] Urumqi Meteorological Satellite Ground Station
基金
中国国家自然科学基金;
关键词
CO2; Satellite remote sensing; Validation;
D O I
暂无
中图分类号
X87 [环境遥感]; X16 [环境气象学];
学科分类号
1404 ; 0706 ; 070602 ;
摘要
Three total column dry-air mole fractions of CO2(XCO2) products from satellite retrievals, namely SCIAMACHY, NIES-GOSAT, and ACOS-GOSAT, in the Northern Hemisphere were validated by ground data from the Total Carbon Column Observing Network(TCCON). The results showed that the satellite data have the same seasonal fluctuations as in the TCCON data, with maximum in April or May and minimum in August or September. The three products all underestimate the XCO2. The ACOS-GOSAT and the NIES-GOSAT products are roughly equivalent, and their mean standard deviations are 2.26 × 10-6and 2.27 × 10-6respectively. The accuracy of the SCIMACHY product is slightly lower, with a mean standard deviation of 2.91 × 10-6.
引用
收藏
页码:131 / 135
页数:5
相关论文
共 50 条
  • [11] Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau
    He, Yunling
    Zhang, Xiaohua
    Pu, Ning
    Wu, Chunyan
    Tang, Wu
    ECOLOGICAL INDICATORS, 2025, 173
  • [12] Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis
    Chen, Xiuzhen
    He, Qingqing
    Ye, Tong
    Liang, Youjia
    Li, Yubiao
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 908
  • [13] SENSING OF ATMOSPHERIC CO2 BY PLANTS
    MOTT, KA
    PLANT CELL AND ENVIRONMENT, 1990, 13 (07): : 731 - 737
  • [14] On the effect of spatial variability and support on validation of remote sensing observations of CO2
    Tadic, Jovan M.
    Michalak, Anna M.
    ATMOSPHERIC ENVIRONMENT, 2016, 132 : 309 - 316
  • [15] Application of hyper spectral data for agricultural field - Remote sensing sensor on next generation satellite -
    Saito, G
    Ogawa, S
    Nagatani, I
    Ishitsuka, N
    Chen, J
    Kosaka, N
    Shiokawa, M
    SPACE ACTIVITIES AND COOPERATION CONTRIBUTING TO ALL PACIFIC BASIN COUNTRIES, 2004, 117 : 577 - 586
  • [16] Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data
    Junttila, Sofia
    Kelly, Julia
    Kljun, Natascha
    Aurela, Mika
    Klemedtsson, Leif
    Lohila, Annalea
    Nilsson, Mats B.
    Rinne, Janne
    Tuittila, Eeva-Stiina
    Vestin, Patrik
    Weslien, Per
    Eklundh, Lars
    REMOTE SENSING, 2021, 13 (04) : 1 - 23
  • [17] Research of spatial heterodyne spectroscopy for atmospheric CO2 remote sensing with high precision
    Wei, Qiuye
    Wang, Xianhua
    Ye, Hanhan
    Li, Zhiwei
    Jiang, Xinhua
    Bu, Tingting
    Guangxue Xuebao/Acta Optica Sinica, 2014, 34 (08):
  • [18] Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach
    Zhao, Ziqing
    Xie, Fengxin
    Ren, Tao
    Zhao, Changying
    Journal of Quantitative Spectroscopy and Radiative Transfer, 2022, 278
  • [19] Validation of Aerosol Type Classification from Satellite Remote Sensing
    Lee, Jaehwa
    Kim, Jhoon
    Mok, Jungbin
    Kim, Yunjae
    CURRENT PROBLEMS IN ATMOSPHERIC RADIATION (IRS 2008), 2009, 1100 : 396 - +
  • [20] Spectral parameters and signal-to-noise ratio requirement for TANSAT hyper spectral sensor to measure atmospheric CO2
    Wang, Qian
    Yang, Zhong-Dong
    Bi, Yan-Meng
    REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION V, 2014, 9259