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Data · dataset · 2023

Establishment of a global CO2 concentration dataset for 2009-2020 based on GOSAT satellite data

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We used the transfer learning theory to integrate the time information as a prior profile into the spatial information based on the global data of GOSAT satellite.

Description

The spatial prediction information was adjusted to obtain more accurate spatio-temporal prediction of carbon dioxide concentration. The Spatial and temporal resolution of the product database are 0.25° and monthly respectively.

Finally, the database has been compared with TCCON data in middle and low latitude, which shows the correlation coefficient R is 0.98, RMSE is 1.38 ppm. 

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Catalogue records · 1

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Geoinformatics 74%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.11922/sciencedb.j00001.0036810 d agoJSON v1
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