Validation of the probabilistic machine learning framework using the SpT model against the OCO-2 Level 2 data product. (IMAGE)

Journal of Remote Sensing

Validation of the probabilistic machine learning framework using the SpT model against the OCO-2 Level 2 data product.

Caption

Validation of the probabilistic machine learning framework using the SpT model against the OCO-2 Level 2 data product. (A) Scatter density plots comparing XCO2 values and associated uncertainties from the SpT model and OCO-2 for each year from 2021 to 2024. (B) Scatterplot illustrating the agreement between uncertainty estimates from the SpT model and OCO-2 across the full time series (2021–2024). (C) Case studies for Beijing, Tokyo, and Seoul, with the light blue shaded area indicating the 3 uncertainty bounds from the SpT model. C1-C2 shows Beijing, 2021 October 11 (C1) and 2024 January 28 (C2). C3-C4 shows Tokyo, 2022 September 26 (C3) and 2024 February 13 (C4). C5-C6 shows Seoul 2021 October 01 (C5) and 2024 February 12 (C6).

Credit

Journal of Remote Sensing

Usage Restrictions

Credit must be given to the creator.

License

CC BY

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.