XCO satellite retrieval experiments in short-wave infrared spectrum and ground-based validation.

Zhou, MinQiang; Zhang, XingYing; Wang, PuCai; Wang, ShuPeng; Guo, LiLi; Hu, LieQun

Based on the optimal estimation method, a satellite XCO retrieval algorithm was constructed by combining LBLRTM with VLIDORT. One-year GOSAT/TANSO observations over four TCCON stations were tested by our algorithm, and retrieval results were compared with GOSAT L2B products and ground-based FTS measurements. Meanwhile, the influence of CO line mixing effect on retrieval was estimated, and the research showed that neglecting CO line mixing effect could result in approximately 0.25% XCO underestimation. The accuracy of XCO retrievals was similar to GOSAT L2B products at cloud-free footprints with aerosol optical depth less than 0.3, and 1% accuracy of XCO retrievals can be reached based on the validation result with TCCON measurements.

ATMOSPHERIC carbon dioxide; ARTIFICIAL satellites in air pollution control; INFRARED spectra; ALGORITHMS; REMOTE sensing; ATMOSPHERIC temperature

SCIENCE CHINA Earth Sciences, 2015, Vol 58, Issue 7, p1191

1674-7313

Academic Journal

10.1007/s11430-015-5080-z