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Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space: Validation of PPDF-based CO2 retrievals from GOSATстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Oshchepkov Sergey, Bril Andrey, Yokota Tatsuya, Morino Isamu, Yoshida Yukio, Matsunaga Tsuneo, Belikov Dmitry, Wunch Debra, Wennberg Paul, Toon Geoffrey, O’Dell Christopher, Butz Andre, Guerlet Sandrine, Cogan Austin, Boesch Hartmut, Eguchi Nawo, Deutscher Nicholas, Griffith David, Macatangay Ronald, Notholt Justus, Sussmann Ralf, Rettinger Markus, Sherlock Vanessa, Robinson John, Kyro Esko, Heikkinen Pauli, Feist Dietrich G., Nagahama Tomoo, Kadygrov Nikolay, Maksyutov Shamil, Uchino Osamu, Watanabe Hiroshi
- Журнал: Journal of Geophysical Research
- Том: 117
- Год издания: 2012
- Издательство: William Byrd Press for John Hopkins Press
- Местоположение издательства: United States
- DOI: 10.1029/2012JD017505
- Аннотация: This report describes a validation study of Greenhouse gases Observing Satellite (GOSAT) data processing using ground-based measurements of the Total Carbon Column Observing Network (TCCON) as reference data for column-averaged dry air mole fractions of atmospheric carbon dioxide (XCO2). We applied the photon path length probability density function method to validate XCO2retrievals from GOSAT data obtained during 22 months starting from June 2009. This method permitted direct evaluation of optical path modifications due to atmospheric light scattering that would have a negligible impact on ground-based TCCON measurements but could significantly affect gas retrievals when observing reflected sunlight from space. Our results reveal effects of optical path lengthening over Northern Hemispheric stations, essentially from May–September of each year, and of optical path shortening for sun-glint observations in tropical regions. These effects are supported by seasonal trends in aerosol optical depth derived from an offline three-dimensional aerosol transport model and by cirrus optical depth derived from space-based measurements of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Removal of observations that were highly contaminated by aerosol and cloud from the GOSAT data set resulted in acceptable agreement in the seasonal variability of XCO2 over each station as compared with TCCON measurements. Statistical comparisons between GOSAT and TCCON coincident measurements of CO2column abundance show a correlation coefficient of 0.85, standard deviation of 1.80 ppm, and a sub-ppm negative bias of −0.43 ppm for all TCCON stations. Global distributions of monthly mean retrieved XCO2 with a spatial resolution of 2.5° latitude × 2.5° longitude show agreement within ∼2.5 ppm with those predicted by the atmospheric tracer transport model.
- Добавил в систему: Mаксютов Шамиль Шавратович