Global XCO2 Retrievals from TanSat: A detailed intercomparison between IAPCAS and UoL-FP

Simon Preval,  University of Leicester,  spp11@leicester.ac.uk (Presenter)
Hartmut Boesch,  University of Leicester,  hartmut.boesch@le.ac.uk
Dongxu Yang,  Institute of Atmospheric Physics, Chinese Academy of Sciences,  yangdx@mail.iap.ac.cn
Yi Liu,  Institute of Atmospheric Physics, Chinese Academy of Sciences,  liuyi@mail.iap.ac.cn

TanSat was China’s first dedicated carbon dioxide observation satellite. Launched in 2016 into a sun-synchronous orbit, the observatory was tasked with measuring the global atmospheric concentration of carbon dioxide. Equipped with a grating spectrometer, the satellite performed nadir, glint, or target-based observations. We present a preliminary analysis of the TanSat dataset processed using the University of Leicester Full Physics algorithm (UoL-FP). The dataset consists of land-based nadir observations taken between March 2017 to May 2018. We discuss bias correction methods, and pre- and post-processing filters applied to the retrieved XCO2 values to generate the final dataset. We compare the results from UoL-FP with that from the IAPCAS algorithm. We find general good agreement between the retrieved XCO2 values from the UoL-FP/IAPCAS algorithms at high and low latitudes, but larger differences are observed between both datasets around the equator. These observed differences highlight the importance of evaluating satellite retrievals and subsequent bias corrections over tropical regions where data from TCCON and other validation sources is sparse.

Poster: Poster_Preval__67_25.pdf 

Presentation Type: Poster

Session: 2.5a Retrieval algorithms and methods for inter-instrument and product Cal/Val

Session Date: Tuesday (6/15) 12:00 PM