Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network

Citation data:

Remote Sensing, ISSN: 2072-4292, Vol: 8, Issue: 5, Page: 414

Publication Year:
Usage 37
Downloads 28
Abstract Views 9
Captures 8
Readers 8
Citations 5
Citation Indexes 5
Repository URL:
Eric Dupuy; Isamu Morino; Yukio Yoshida; Osamu Uchino; Tsuneo Matsunaga; Tatsuya Yokota; Nicholas M. Deutscher; David W.T. Griffith; Voltaire A. Velazco; Justus Notholt; Christof Petri; Thorsten Warneke; Brian J. Connor; Martine De Mazière; Frank Hase; Pauli Heikkinen; Rigel Kivi; Patrick W. Hillyard; Laura T. Iraci; James R. Podolske; Shuji Kawakami; David F. Pollard; Vanessa Sherlock; Markus Rettinger; Ralf Sussmann; Coleen M. Roehl; Paul O. Wennberg; Debra Wunch; Geoffrey C. Toon Show More Hide
Earth and Planetary Sciences; Medicine and Health Sciences; Social and Behavioral Sciences
article description
Understanding the atmospheric distribution of water (HO) is crucial for global warming studies and climate change mitigation. In this context, reliable satellite data are extremely valuable for their global and continuous coverage, once their quality has been assessed. Short-wavelength infrared spectra are acquired by the Thermal And Near-infrared Sensor for carbon Observation-Fourier Transform Spectrometer (TANSO-FTS) aboard the Greenhouse gases Observing Satellite (GOSAT). From these, column-averaged dry-air mole fractions of carbon dioxide, methane and water vapor (XHO) have been retrieved at the National Institute for Environmental Studies (NIES, Japan) and are available as a Level 2 research product. We compare the NIES XHO data, Version 02.21, with retrievals from the ground-based Total Carbon Column Observing Network (TCCON, Version GGG2014). The datasets are in good overall agreement, with GOSAT data showing a slight global low bias of -3.1%±24.0%, good consistency over different locations (station bias of -1.53%±10.35%) and reasonable correlation with TCCON (R = 0.89). We identified two potential sources of discrepancy between the NIES and TCCON retrievals over land. While the TCCON XHO amounts can reach 6000-7000ppm when the atmospheric water content is high, the correlated NIES values do not exceed 5500 ppm. This could be due to a dry bias of TANSO-FTS in situations of high humidity and aerosol content. We also determined that the GOSAT-TCCON differences directly depend on the altitude difference between the TANSO-FTS footprint and the TCCON site. Further analysis will account for these biases, but the NIES V02.21 XHO product, after public release, can already be useful for water cycle studies.