A049-06
Ozone recovery as detected in NOAA Ground-Based and Satellite Ozone Measurements

Tuesday, 8 December 2020: 10:50
Virtual
Irina V Petropavlovskikh1,2, Jeannette Wild3, Koji Miyagawa4, Audre McClure5, Glen Mcconville1, Bryan J Johnson6, Susan Elaine Strahan7, Craig S Long8, Lawrence E Flynn9 and Eric Beach10, (1)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (2)NOAA Boulder, ESRL/GML, Boulder, CO, United States, (3)NOAA NWS NCEP, Climate Prediction Center, College Park, MD, United States, (4)NOAA Boulder, Boulder, United States, (5)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (6)Global Monitoring Lab, NOAA Earth System Research Labs, Boulder, CO, United States, (7)Universities Space Research Association, NASA/code 614, Greenbelt, MD, United States, (8)NOAA Science Center, College Park, MD, United States, (9)NOAA Center for Satellite Applications and Reserch, STAR, College Park, MD, United States, (10)IMSG, College Park, MD, United States
Abstract:
The stratospheric ozone recovery in response to the Montreal Protocol and its amendments is continuously tracked by NOAA’s network of ground-based remote sensing and in situ instruments (GB) that collect daily Dobson total column ozone, daily vertical distribution of ozone from Dobson Umkehr and weekly ozonesonde profiling. The NOAA long-term records are well-calibrated and frequently compared to each other for tracking instrumental changes. Additionally NOAA’s homogenized satellite record (COH) from SBUV, SBUV/2 and OMPS provide information on ozone vertical distribution globally and in zonal averages allowing the study of large scale ozone variability. The consistency among all NOAA ozone observing systems is crucial for understanding the drivers behind the temporal and geographical differences in ozone recovery processes as revealed by the 2018 WMO/UNEP Ozone Assessment (Report No. 58) and the Long-term Ozone Trends and Uncertainties in the Stratosphere (LOTUS) special report (doi: 10.17874/f899e57a20b). This study is focused on revising the historical WMO GAW and NOAA Umkehr records with optimized stray light corrections. In the first phase of the NOAA AC4 funded project, the Umkehr data at 5 NOAA stations were optimized; the co-incident COH NOAA ozone profile data were generated to match the GB sites in time and space; satellite and GB records were compared for seasonal cycle, relative drifts and step-changes associated with instrument performance. Satellite data and model records are used to explore the impact of the sampling limitations of the GB data on long term trends and provide insight on the ability of the GB network to accurately depict ozone trends.