Analysis of 3D Cloud Effects in OCO-2 XCO2 Retrievals

Abstract

Abstract. The presence of 3D cloud radiative effects in OCO-2 retrievals is demonstrated from an analysis of 2014–2019 OCO-2 XCO2raw retrievals, bias corrected XCO2bc data, ground based Total Carbon Column Observation Network (TCCON) XCO2, and Moderate Resolution Imaging Spectroradiometer (MODIS) cloud and radiance fields. Averaged over the year, 40 % and 75 % of OCO-2 Quality Flag QF = 0 (best quality) and QF = 1 (lesser quality) retrievals are within 4 km of clouds. 3D radiative transfer calculations indicate that 3D cloud radiative perturbations at this cloud distance, for an isolated low altitude cloud, are larger in absolute value than those due to a 1 ppm increase in CO2. OCO-2 measurements are therefore susceptible to 3D cloud effects. Four 3D cloud metrics, based upon MODIS radiance and cloud fields and stand-alone OCO-2 measurements, relate XCO2bc-TCCON averages to 3D cloud effects. This analysis indicates that the operational bias correction has a non-zero residual 3D cloud bias for both QF = 0 and QF = 1 data. XCO2bc −TCCON averages at small cloud distances differ from those at large cloud distances by −0.4 and −2.2 ppm for the QF = 0 and QF = 1 data over the ocean. Mitigation of 3D cloud biases by a Table look-up technique, that utilizes nearest cloud distance (Distkm) and spatial radiance heterogeneity (CSNoiseRatio) 3D metrics, reduces QF = 1 ocean and land XCO2bc −TCCON averages from −1 ppm to near ± 0.2 ppm. The ocean QF = 1 XCO2bc-TCCON averages can be reduced to the 0.5 ppm level if 60 % (70 %) of the QF = 1 data points are utilized, by applying Distkm (CSNoiseRatio) metrics in a data screening process. Over land the QF = 1 XCO2bc–TCCON averages are reduced to the 0.5 (0.8) ppm level if 65 (63) % of the data points are utilized by applying Diastkm (CSNoiseRatio) data screening. The addition of more terms to the linear regression equations used in the current bias correction processing, without data screening, however, did not introduce an appreciable improvement in the standard deviations of the XCO2bc-TCCON statistics.

Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2)

“…Cloud distance (Massie et al, 2021) is the distance of the nearest cloud to each observation point, as determined from offline radiance data files (Cronk, 2018), which contain 500 m MODIS radiances, geolocation, and cloud mask data. Calculated 3D cloud features can be found for OCO-2 from September 2014 to July 2019 at https://doi.org/10.5281/zenodo.4008764 (Massie et al, 2020).…”

“…TCCON data can be found at https://doi.org/10.14291/TCCON.GGG2014 (Total Carbon Column Observing Network (TCCON) Team, 2017). The 3D cloud effect variables H3D, HC, CSNoiseRatio, and cloud distance are available at https://doi.org/10.5281/zenodo.4008764 (Massie et al, 2020).…”