Long-term observations of NO2, SO2, HCHO, and CHOCHO . . . - ScienceDirect TROPOMI and GOME-2 observations are shown with a violin plot to emphasize their respective distribution better Both the satellite observations reasonably captured a systematic monthly variations of NO 2 and HCHO with higher columns during winter-spring and lower during the summer-monsoon (Fig 9)
GOME - an overview | ScienceDirect Topics GOME (Global Ozone Monitoring Experiment) refers to an instrument designed to measure trace gases, particularly ozone, using high-resolution spectrometry in the ultraviolet to visible light spectrum It operates by analyzing the polarization of incoming light to provide detailed atmospheric chemistry data AI generated definition based on: Journal of Quantitative Spectroscopy and Radiative
Comparison of model-simulated tropospheric NO2 over China with GOME . . . The GOME tropospheric NO 2 columns reveal “hotspots” of significance for the assessment of regional, transnational and intercontinental air pollution Comparison of the model output to the GOME data illustrates the degree to which present models reproduce the hot spots seen in the GOME data
Upscaling GOME-2 SIF from clear-sky instantaneous observations to all . . . The SIF all-sky upscaling method was generated with several explanatory variables, including instantaneous GOME-2 soundings, Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, and the photosynthetically active radiation (PAR) from the Modern-Era Retrospective Analysis for Research and Applications Version 2 (Merra-2)
Trace gas column retrieval – an error assessment study for GOME-2 GOME-2 has an integration time of 0 1875 s and a mean spatial resolution of 80×40 km 2 The read-out time of the detector arrays is 46 9 ms, which is relatively large compared to the integration time GOME-2 gathers 24 radiance spectra during one across-track scan of 1920 km, providing global coverage within 2 days
Tropospheric NO2 from GOME measurements - ScienceDirect Tropospheric NOZ columns from GOME can help to get a more concise picture of the temporal and spatial distribution of NO2 In Figure 8, two different evaluations of GOME NOZ are shown for fall (September - November) 1997 over the African continent: one using only clear sky pixels (ICFA < 0 1) and one using only cloudy pixels (ICFA > 0 3)
Application of a modified DOAS method for total ozone retrieval from . . . Especially under ozone hole conditions at high polar latitudes GOME tends to overestimate total ozone as compared to ground-based measurements In this study, we introduce a modified DOAS method for ozone retrieval from GOME which fits directly the vertical columns rather than slant columns
Monitoring drought impacts on crop productivity of the U. S. Midwest . . . We used SIF (GOSIF and GOME-2 SIF), NDVI, EVI, and NIRv data to evaluate the impact of the 2012 drought on crop productivity in the U S Midwest We compared the seasonal cycles and spatial anomalies of SIF and VIs data in the drought year relative to the reference years