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Data Details

Global Atmospheric Carbon Dioxide Concentration Simulation Grid Dataset (1992-2020)


HOU Weiye1JIN Jiaxin*1,2YAN Tao1LIU Ying1
1 College of Hydrology and Water Resources，Hohai University，Nanjing211100，China2 National Earth System Science Data Center，National Science & Technology Infrastructure of China，Beijing 100101，China

DOI:10.3974/geodb.2021.11.01.V1

Published:Nov. 2021

Visitors：5468       Data Files Downloaded：832      
Data Downloaded：19964.94 MB      Citations：

Key Words：

carbon dioxide,remote sensing,simulation,AIRS,global

Abstract：

The Global Atmospheric Carbon Dioxide Concentration Simulation Grid Dataset (1992-2020) covers the region between 60°S and 88°N, 180°W and 180°E in 2° x 2.5° grid. The dataset was developed using an improved sinusoidal model, which was calibrated by the remotely-sensed product of troposphere CO2 concentration from 2002 to 2012 (AIRx3C2M 005) for each grid cell. Using the simulating model to retrite the data to 1992 and forecasting the data to 2020. The field-observed data of CO2 concentration was adopted to validate and analyze the accuracy of the data product. The dataset includes: (1) global dataset of monthly CO2 concentration from 1992 to 2020; (2) global dataset of annual CO2 concentration from 1992 to 2020. The dataset is archived in .nc data format, and consists of 58 data files with data size of 31.5 MB (Compressed to one single file with 23.9 MB).Browse

Foundation Item：

Ministry of Science and Technology of P. R. China (2018YFA0605402)；National Natural Science Foundation of China (41971374)

Data Citation：

HOU Weiye, JIN Jiaxin*, YAN Tao, LIU Ying.Global Atmospheric Carbon Dioxide Concentration Simulation Grid Dataset (1992-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.11.01.V1.

HOU Weiye , JIN Jiaxin, YAN Tao, et.al . A satellite-based dataset of global atmospheric carbon dioxide concentration with a spatial resolution of 2° × 2.5° from 1992 to 2020 [J]. Journal of Global Change Data & Discovery, 2022, 6(2): 191–199.

References：

[1] Hartmann, D. L., Tank, A. M. G. K., Rusticucci, M., et al. IPCC fifth assessment report, climate change 2013: The physical science basis [R]. IPCC AR5, 2013: 31-39.
     [2] Callendar, G. S. The artificial production of carbon dioxide and its influence on temperature. Quarterly Journal of the Royal Meteorological Society [J], 1938, 64(275): 223-240. DOI: 10.1002/qj.49706427503.
     [3] Bacastow, R. B. The effect of temperature change of the warm surface waters of the oceans on atmospheric CO2 [J]. Global Biogeochemical Cycles, 1996, 10(2): 319-333.
     [4] Qianwen, M., Qiu Y. Remote sensing analysis of multi-years spatial and temporal variation of CO2 in China [J]. Remote Sensing Technology and Application, 2016, 31(2): 203-213.
     [5] Bergamaschi, P., Frankenberg, C., Meirink, J. F., et al. Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals [J]. Journal of Geophysical Research: Atmospheres, 2009, 114(D22). DOI: 10.1029/2009JD012287.
     [6] Shi, G. Y., Dai, T., Xu, N. Latest progress of the study of atmosphere CO2 concerntration retrievals from satellite [J]. Advances in Earth Science, 2010 (1): 7-13.
     [7] Menzel, W. P., Schmit, T. J., Zhang, P., et al. Satellite-based atmospheric infrared sounder development and applications[J]. Bulletin of the American Meteorological Society, 2018, 99(3): 583-603. DOI: 10.1175/BAMS-D-16-0293.1
     [8] Machida, T., Matsueda, H., Sawa, Y., et al. Worldwide measurements of atmospheric CO2 and other trace gas species using commercial airlines. Journal of Atmospheric and Oceanic Technology, 2008, 25(10): 1744-1754. DOI: 10.1175/2008JTECHA1082.1
     [9] Liu, Y.,Lv, D. R.,Chen, H. B., et al.Advances in Technologies and Methods for Satellite Remote Sensing of Atmospheric CO2[J].Remote Sensing Technology and Application , 2011, 26(2): 247-254.
     [10] Kuze, A., Suto, H., Nakajima, M., et al. Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring. Applied optics, 2009, 48(35): 6716-6733. DOI:10.1364/AO.48.006716
     [11] Divakarla, M. G., Barnet, C. D., Goldberg, M. D., et al. Validation of atmospheric infrared sounder temperature and water vapor retrievals with matched radiosonde measurements and forecasts [J]. Journal of Geophysical Research: Atmospheres, 2006, 111: D09S15. DOI: 10.1029/2005JD006116.
     [12] Zhou, M. D. Atmospheric carbon dioxide(CO2) Retrieval and Sensitivity studies from Satellite observations [D]. East China Normal University, 2013.
     [13] Fetzer, E., Mcmillin, L. M., Tobin, D., et al. AIRS/AMSU/HSB validation [J]. IEEE transactions on geoscience and remote sensing, 2003, 41(2): 418-431. DOI: 10.1109/TGRS.2002.808293.
     [14] Conway, T. J., Tans, P. P., Waterman, L. S., et al. Evidence for interannual variability of the carbon cycle from the National Oceanic and Atmospheric Administration/Climate Monitoring and Diagnostics Laboratory global air sampling network [J]. Journal of Geophysical Research: Atmospheres, 1994, 99(D11): 22831-22855. DOI: 10.1029/94JD01951.
     [15] Dlugokencky, E. J., Steele, L. P., Lang, P. M., et al. The growth rate and distribution of atmospheric methane [J]. Journal of Geophysical Research: Atmospheres, 1994, 99(D8): 17021-17043. DOI: 10.1029/94JD01245.
     [16] Novelli, P. C., Steele, L. P., Tans, P. P. Mixing ratios of carbon monoxide in the troposphere [J]. Journal of Geophysical Research: Atmospheres, 1992, 97(D18): 20731-20750. DOI: 10.1029/92JD02010.
     [17] Trolier, M., White, J. W. C., Tans, P. P., et al.. Monitoring the isotopic composition of atmospheric CO2: Measurements from the NOAA Global Air Sampling Network [J]. Journal of Geophysical Research: Atmospheres, 1996, 101(D20): 25897-25916. DOI: 10.1029/96JD02363.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_GlobalSimulatedCO2_1992-2020.pdf405.00kbDownLoad
1 GlobalSimulatedCO2_1992-2020.rar 24572.23KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum