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Ground-based validation of the MetopA and B GOME-2 OClO measurements.
- Source :
- Atmospheric Measurement Techniques Discussions; 11/29/2021, p1-35, 35p
- Publication Year :
- 2021
-
Abstract
- This paper reports on ground-based validation of the atmospheric OClO data record produced in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC SAF) using the GOME2-A and -B instruments over the 2007-2016 and 2013-2016 periods, respectively. OClO slant column densities are compared to correlative measurements collected from 9 NDACC Zenith-Scattered-Light DOAS (ZSL-DOAS) instruments distributed in both the Arctic and Antarctic. Sensitivity tests are performed on the ground-based data to estimate the impact of the different OClO DOAS analysis settings. On this basis, we infer systematic uncertainties of about 25 % between the different ground-based data analysis, reaching total uncertainties ranging from about 26 % to 33 % for the different stations. Time-series at the different sites show good agreement between satellite and ground-based data, both for the inter-annual variability and the overall OClO seasonal behavior. GOME-2A results are found to be nosier than those of GOME-2B, especially after 2011, probably due to instrumental degradation effects. Daily linear regression analysis for OClO activated periods yield correlation coefficients of 0.8 for GOME-2A and 0.87 for GOME-2B, with slopes of 0.64 and 0.72, respectively. Biases are within 8 x 10<superscript>13</superscript> molec/cm<superscript>2</superscript> with some differences between GOME-2A and GOME- 2B, depending on the station. Overall, considering all the stations, a median bias of about -2.2 x 10<superscript>13</superscript> molec/cm<superscript>2</superscript> is found for both GOME-2 instruments. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18678610
- Database :
- Complementary Index
- Journal :
- Atmospheric Measurement Techniques Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 153898157
- Full Text :
- https://doi.org/10.5194/amt-2021-356