Long Island Sound Tropospheric Ozone Study

The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

DOI: 10.5067/SUBORBITAL/LISTOS/DATA001

LISTOS Project Page

Disciplines:   Field Campaigns
Collection Disciplines Spatial Temporal
LISTOS_AircraftInSitu_StonyBrookAircraft_Data_1
LISTOS Stony Brook Aircraft In-Situ Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-06-30 - 2019-07-29
Temporal Resolution:
Variable
LISTOS_AircraftInSitu_UMDAircraft_Data_1
LISTOS University of Maryland Cessna Aircraft In-Situ Data 		Tropospheric Composition Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2017-05-17 - 2019-07-29
Temporal Resolution:
Variable
LISTOS_AircraftRemoteSensing_NASAAircraft_Data_1
LISTOS NASA Aircraft Remote Sensing Data 		Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-06-18 - 2018-10-19
Temporal Resolution:
Variable
LISTOS_Ground_Bayonne_Data_1
LISTOS Bayonne Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-06-01 - 2019-05-23
Temporal Resolution:
Variable
LISTOS_Ground_BronxPfizer_Data_1
LISTOS Bronx Pfizer Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-01-01 - 2018-11-13
Temporal Resolution:
Variable
LISTOS_Ground_CCNY_Data_1
LISTOS CCNY Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-04-30 - 2018-05-02
Temporal Resolution:
Variable
LISTOS_Ground_FlaxPond_Data_1
LISTOS Flax Pond Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-04-30 - 2019-09-13
Temporal Resolution:
Variable
LISTOS_Ground_Hammonasset_Data_1
LISTOS Hammonasset Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-01 - 2019-09-12
Temporal Resolution:
Variable
LISTOS_Ground_NewHaven_Data_1
LISTOS New Haven Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-01 - 2019-01-23
Temporal Resolution:
Variable
LISTOS_Ground_Other_Data_1
LISTOS Ground Data at Miscellaneous Ground Sites 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-04-30 - 2018-10-01
Temporal Resolution:
Variable
LISTOS_Ground_OuterIsland_Data_1
LISTOS Outer Island Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-09 - 2018-09-05
Temporal Resolution:
Variable
LISTOS_Ground_QueensCollege_Data_1
LISTOS Queens College Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-04-30 - 2019-06-14
Temporal Resolution:
Variable
LISTOS_Ground_Rutgers_Data_1
LISTOS Rutgers Ground Site Data 		Aerosols,  Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-06 - 2019-06-22
Temporal Resolution:
Variable
LISTOS_Ground_Westport_Data_1
LISTOS Westport Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-01 - 2019-09-11
Temporal Resolution:
Variable
LISTOS_Ground_YaleCoastal_Data_1
LISTOS Yale Coastal Ground Site Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, 75)
Temporal Coverage:
2018-07-01 - 2019-08-01
Temporal Resolution:
Variable
LISTOS_MetNav_AircraftInSitu_NASAAircraft_Data_1
LISTOS NASA Aircraft Meteorological and Navigational Data 		Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-06-18 - 2018-09-07
Temporal Resolution:
Variable
LISTOS_SurfaceMobile_InSitu_Data_1
LISTOS Surface Mobile Platform In-Situ Data 		Tropospheric Composition,  Field Campaigns Spatial Coverage:
(35, 45), (-80, -70)
Temporal Coverage:
2018-05-23 - 2019-07-09
Temporal Resolution:
Variable

LISTOS Citations

Gkatzelis G I, Coggon M M, McDonald B C, Peischl J, Gilman J B, Aikin K C, Robinson M A, Canonaco F, Prevot A S H, Trainer M and Warneke C (2021). Observations Confirm that Volatile Chemical Products Are a Major Source of Petrochemical Emissions in U.S. Cities. Environmental Science and Technology, 55 (8), 4332. https://doi.org/10.1021/acs.est.0c05471


Wu Y, Nehrir A R, Ren X, Dickerson R R, Huang J, Stratton P R, Gronoff G, Kooi S A, Collins J E, Berkoff T A, Lei L, Gross B and Moshary F (2021). Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2021.145030


Gkatzelis G I, Coggon M M, McDonald B C, Peischl J, Aikin K C, Gilman J B, Trainer M and Warneke C (2020). Identifying Volatile Chemical Product Tracer Compounds in U.S. Cities. ACS Publications, 55 (1), 188. https://doi.org/10.1021/acs.est.0c05467


Zhang J, Mak J, Wei Z, Cao C, Ninneman M, Marto J and Schwab J J (2020). Long Island enhanced aerosol event during 2018 LISTOS: Association with heatwave and marine influences. Environmental Pollution, 270 https://doi.org/10.1016/j.envpol.2020.116299


Stockwell C E, Coggon M M, Gkatzelis G I, Ortega J, McDonald B C, Peischl J, Aikin K, Gilman J B, Trainer M and Warneke C (2020). Volatile organic compound emissions from solvent- and water- borne coatings: compositional differences and tracer compound identifications. Atmospheric Chemistry and Physics, https://doi.org/10.5194/acp-2020-1078


Karambelas A (2020). LISTOS: Toward a Better Understanding of New York City’s Ozone Pollution Problem. EM, A&WMA, Retrieved from https://www.nescaum.org/documents/listos-toward-a-better-understanding-of-new-york-city2019s-ozone-pollution-problem/karambelas-listos-overview_em202010.pdf


Zhang J, Lance S, Wang X, Wang J and Schwab J J (2020). Estimation of aerosol liquid water from optical scattering instruments using ambient and dried sample streams. Atmospheric Environment, 239 https://doi.org/10.1016/j.atmosenv.2020.117787


Arend M, Ligon D A, James D, Campmire M J, Melecio-Vazquez D, Gonzalez J and Moshary F (2020). Observations and Models of Turbulence During Heat Events in Complex Urban Coastal Regions Using Multiple Doppler Wind Lidars. EPJ Web Conf, 237 https://doi.org/10.1051/epjconf/202023706010


Zhao K, Wu Y, Huang J, Jiang R, Gronoff G, Berkoff T A and Moshary F (2020). Variation of Ozone and PBL from the Lidar Observations and WRF-Chem Model in NYC Area During the 2018 Summer LISTOS Campaign. EPJ Web Conferences, 237 https://doi.org/10.1051/epjconf/202023708027


Zhang J, Ninneman M, Joseph E, Schwab M J, Shrestha B and Schwab J J (2020). Mobile Laboratory Measurements of High Surface Ozone Levels and Spatial Heterogeneity During LISTOS 2018: Evidence for Sea Breeze Influence. JGR Atmospheres, 125 (11), https://doi.org/10.1029/2019JD031961


Judd L M, Al-Saadi J A, Szykman J J, Valin L C, Janz S J, Kowalewski M G, Eskes H J, Veefkind J P, Cede A, Mueller M, Gebetsberger M, Swap R, Pierce R B, Nowlan C R, Abad G G, Nehrir A and Williams D (2020). Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound. Atmospheric Measurement Techniques, 13 https://doi.org/10.5194/amt-13-6113-2020


Rogers H M, Ditto J C and Gentner D R (2020). Evidence for impacts on surface-level air quality in the northeastern US from long-distance transport of smoke from North American fires during the Long Island Sound Tropospheric Ozone Study (LISTOS) 2018. Atmospheric Chemistry and Physics, 20 https://doi.org/10.5194/acp-20-671-2020


Pantina P, Kowalewski M G, Janz S J and Xiong S (2019). Field calibration techniques used to characterize the radiometric stability of the GEO-CAPE Airborne Simulator (GCAS). SPIE. Digital Library, https://doi.org/10.1117/12.2525610