the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Five years of GOSAT-2 retrievals with RemoTeC: XCO2 and XCH4 data products with quality filtering by machine learning
Jochen Landgraf
Mari Martinez-Velarte
Mihalis Vrekoussis
Ralf Sussmann
Isamu Morino
Kimberly Strong
Minqiang Zhou
Voltaire A. Velazco
Hirofumi Ohyama
Thorsten Warneke
Frank Hase
Tobias Borsdorff
Data sets
SRON Scientific GOSAT-2 Level 2 Data Products for XCO2 and XCH4 Andrew Barr, Jochen Landgraf, Tobias Borsdorff https://doi.org/10.5281/zenodo.12180512
The Greenhouse Gases Observing Satellite-2 (GOSAT-2) is a satellite dedicated to measuring concentrations of greenhouse gases from space. Since its launch, the increase of CH4 and CO2 concentrations in the atmosphere is clear. The datasets obtained from GOSAT-2 are used in the Copernicus atmospheric services to monitor the climate, in light of the Paris Agreement. Here we present robust datasets of these gases from GOSAT-2, including a novel machine learning approach to data quality filtering.
The Greenhouse Gases Observing Satellite-2 (GOSAT-2) is a satellite dedicated to measuring...