Case study of stratospheric intrusion above Hampton, Virginia: Lidar-observation and modeling analysis

Gronoff, Guillaume; Berkoff, Timothy A.; Knowland, K. Emma; Lei, Liqiao; Shook, Michael A.; Fabbri, B. E.; Carrion, William; Langford, A. O.

doi:10.1016/j.atmosenv.2021.118498

Cited by 11 publications

(8 citation statements)

References 56 publications

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“…These ground-based lidars provide Differential Absorption Lidar (DIAL)-derived, high vertical and temporal resolution, observations of tropospheric O 3 with high accuracy and precision continuously for many hours or even days (Leblanc et al, 2018;. While Keller et al (2021) found on average the NH free tropospheric O 3 was biased low compared to ozonesondes for 2018-2019, there is demonstrable synergy between the data from these lidar systems and the vertical structure of O 3 concentrations simulated by GEOS-CF (Dacic et al, 2020;Johnson et al, 2021), including episodic events when stratospheric O 3 descends to lower altitudes into the troposphere (Gronoff et al, 2021).…”

Section: Tolnet Ozone Lidarsmentioning

confidence: 99%

“…This manuscript focuses on the satellite observations and the global distribution of ozonesondes that can be used to make general conclusions about the global state of the stratospheric composition in GEOS‐CF. Comparisons against regional networks such as the Pandora network or the Tropospheric Ozone Lidar Network (TOLNet) are active areas of research (e.g., Dacic et al., 2020 ; Gronoff et al., 2021 ; Johnson et al., 2021 ; Robinson et al., 2020 ) as demonstrated with a case study using TOLNet vertically resolved O 3 measurements (Section 6.3 ).…”

Section: Datamentioning

confidence: 99%

“…While Keller et al. ( 2021 ) found on average the NH free tropospheric O 3 was biased low compared to ozonesondes for 2018–2019, there is demonstrable synergy between the data from these lidar systems and the vertical structure of O 3 concentrations simulated by GEOS‐CF (Dacic et al., 2020 ; Johnson et al., 2021 ), including episodic events when stratospheric O 3 descends to lower altitudes into the troposphere (Gronoff et al., 2021 ).…”

Section: Datamentioning

confidence: 99%

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NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition

Knowland

Keller

Wales

et al. 2022

J Adv Model Earth Syst

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The NASA Goddard Earth Observing System (GEOS) Composition Forecast (GEOS-CF) provides recent estimates and 5-day forecasts of atmospheric composition to the public in near-real time. To do this, the GEOS Earth system model is coupled with the GEOS-Chem tropospheric-stratospheric unified chemistry extension (UCX) to represent composition from the surface to the top of the GEOS atmosphere (0.01 hPa). The GEOS-CF system is described, including updates made to the GEOS-Chem UCX mechanism within GEOS-CF for improved representation of stratospheric chemistry. Comparisons are made against balloon, lidar, and satellite observations for stratospheric composition, including measurements of ozone (O 3 ) and important nitrogen and chlorine species related to stratospheric O 3 recovery. The GEOS-CF nudges the stratospheric O 3 toward the GEOS Forward Processing (GEOS FP) assimilated O 3 product; as a result the stratospheric O 3 in the GEOS-CF historical estimate agrees well with observations. During abnormal dynamical and chemical environments such as the 2020 polar vortexes, the GEOS-CF O 3 forecasts are more realistic than GEOS FP O 3 forecasts because of the inclusion of the complex GEOS-Chem UCX stratospheric chemistry. Overall, the spatial patterns of the GEOS-CF simulated concentrations of stratospheric composition agree well with satellite observations. However, there are notable biases-such as low NO x and HNO 3 in the polar regions and generally low HCl throughout the stratosphere-and future improvements to the chemistry mechanism and emissions are discussed. GEOS-CF is a new tool for the research community and instrument teams observing trace gases in the stratosphere and troposphere, providing near-real-time three-dimensional gridded information on atmospheric composition.

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Section: Tolnet Ozone Lidarsmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition

Knowland

Keller

Wales

et al. 2022

J Adv Model Earth Syst

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“…Using meteorological analyses from other GEOS systems, the GEOS-CF products include a running atmospheric replay to provide near-time estimates of surface pollutant distributions and the composition of the troposphere and stratosphere. Individual case study evaluations using ozone lidar of the GEOS-CF meteorological replay have recently been performed in Dacic et al (2020), Gronoff et al (2021) and Johnson et al (2021). These results will also be used to better evaluate the GEOS-CF as the source of a priori ozone profiles for use in the TEMPO tropospheric ozone retrievals.…”

Section: Coupled Chemistry and Meteorology Modelmentioning

confidence: 99%

Tropospheric and stratospheric ozone profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19)

et al. 2022

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Abstract. A TROPOspheric Monitoring Instrument (TROPOMI) validation campaign was held in the Netherlands based at the CESAR (Cabauw Experimental Site for Atmospheric Research) observatory during September 2019. The TROpomi vaLIdation eXperiment (TROLIX-19) consisted of active and passive remote sensing platforms in conjunction with several balloon-borne and surface chemical (e.g., ozone and nitrogen dioxide) measurements. The goal of this joint NASA-KNMI geophysical validation campaign was to make intensive observations in the TROPOMI domain in order to be able to establish the quality of the L2 satellite data products under realistic conditions, such as non-idealized conditions with varying cloud cover and a range of atmospheric conditions at a rural site. The research presented here focuses on using ozone lidars from NASA's Goddard Space Flight Center to better evaluate the characterization of ozone throughout TROLIX-19. Results of comparisons to the lidar systems with balloon, space-borne and ground-based passive measurements are shown. In addition, results are compared to a global coupled chemistry meteorology model to illustrate the vertical variability and columnar amounts of both tropospheric and stratospheric ozone during the campaign period.

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“…When the cloud conditions are perfect, the limiting factor for the altitude is the solar background: the UV from the sun is a source of noise that prevents the detection of the low level of backscattered photons. For LMOL, this means that the maximum altitude is about 10 km AGL at night (Gronoff et al, 2021) and lowered to about 4 km AGL at solar noon (worse conditions possible for the summer in the continental U.S. resulting in below 4 km AGL). This results in a general scarcity of O3 measurements above 4000 m AGL for most of the vertical profile curtains.…”

Section: Description Of the Ozone Lidar Measurementsmentioning

confidence: 99%

Cluster-based characterization of multi-dimensional tropospheric ozone variability in coastal regions: an analysis of lidar measurements and model results

Bernier

Wang

Gronoff

et al. 2022

Preprint

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Abstract. Coastal regions are susceptible to multiple complex dynamic and chemical mechanisms and emission sources that lead to frequently observed large tropospheric ozone variations. These large ozone variations occur on a meso-scale which have proven to be arduous to simulate using chemical transport models (CTMs). We present a clustering analysis of multi-dimensional measurements from ozone Light Detection And Ranging (LiDAR) in conjunction with both an offline GEOS-Chem CTM simulation and the online GEOS-Chem simulation GEOS-CF, to investigate the vertical and temporal variability of coastal ozone during three recent air quality campaigns: 2017 Ozone Water-Land Environmental Transition Study (OWLETS) 1, 2018 OWLETS 2, and 2018 Long Island Sound Tropospheric Ozone Study (LISTOS). We developed and tested a clustering method that resulted in 5 vertical ozone profile curtain clusters. The established 5 clusters all varied significantly in ozone magnitude vertically and temporally which allowed us to characterize the coastal ozone behavior. The lidar clusters provided a simplified way to evaluate the two CTMs for their performance of diverse coastal ozone cases. The two models have fair-to-good relationships with the lidar observations (R = 0.66 to 0.69) in the low-level altitude range (0 to 2000 m), with unsystematic bias for GEOS-Chem and systemically high bias for GEOS-CF. In the mid-level altitude range (2000 to 4000 m), both models have difficulty simulating the vertical extent and variability of ozone concentrations in all 5 clusters, with a weak relationship with the lidar observations (R = 0.12 and 0.22, respectively). GEOS-Chem revealed a systematic high negative bias and GEOS-CF an overall low unsystematic bias range. Using ozone vertical distribution from lidar measurements, this work provides new insights on model’s proficiency in complex coastal regions.

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Case study of stratospheric intrusion above Hampton, Virginia: Lidar-observation and modeling analysis

Cited by 11 publications

References 56 publications

NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition

NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition

Tropospheric and stratospheric ozone profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19)

Cluster-based characterization of multi-dimensional tropospheric ozone variability in coastal regions: an analysis of lidar measurements and model results

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