Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach-Reference-Cited by-同舟云学术

Estimating daily full-coverage surface ozone concentration using satellite observations and a spatiotemporally embedded deep learning approach

Published:2021-09 Issue: Volume:101 Page:102356
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Li Tongwen,Cheng Xiao

Funder

State Key Laboratory of Resources and Environmental Information System

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference49 articles.

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4. De Smedt, I., Theys, N., Yu, H., van Gent, J., Lerot, C.h., Roozendael, M.V., 2016. S5P/TROPOMI HCHO ATBD. http://www.tropomi.eu/sites/default/files/files/S5P-BIRA-L2-ATBD-HCHO_400FTROPOMI_v1p0p0-20160205.pdf.

5. Eskes, H.J., Eichmann, K.U., 2020. S5P MPC Product Readme Nitrogen Dioxide. http://www.tropomi.eu/documents/prf/.

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