The Small Mobile Ozone Lidar (SMOL): instrument description and first results
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| Publicat a: | Atmospheric Measurement Techniques vol. 18, no. 2 (2025), p. 405 |
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| Autor principal: | |
| Altres autors: | , , , , , , , , , |
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Copernicus GmbH
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3159315929 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1867-1381 | ||
| 022 | |a 1867-8548 | ||
| 024 | 7 | |a 10.5194/amt-18-405-2025 |2 doi | |
| 035 | |a 3159315929 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Chouza, Fernando |u Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA, USA | |
| 245 | 1 | |a The Small Mobile Ozone Lidar (SMOL): instrument description and first results | |
| 260 | |b Copernicus GmbH |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Ozone profile measurements at high temporal and vertical resolution are needed to better understand physical and chemical processes driving tropospheric ozone variability and to validate the tropospheric ozone measurements from spaceborne missions such as TEMPO (Tropospheric Emissions: Monitoring Pollution). As part of the Tropospheric Ozone Lidar Network (TOLNet) efforts allocated to provide such measurements and leveraging on the experience of more than 20 years of ozone lidar measurements at Table Mountain Facility, the JPL lidar group developed the SMOL (Small Mobile Ozone Lidar), an affordable differential absorption lidar (DIAL) system covering all altitudes from 200 to 10 km above ground level (a.g.l.). The transmitter is based on a quadrupled Nd:YAG laser, which is further converted into a 289/299 nm wavelength pair using Raman shifting cells, and the receiver consists of three ozone DIAL pairs, including one that is 266/289 nm and two that are 289/299 nm. Two units were deployed in the Los Angeles basin area during the Synergistic TEMPO Air Quality Science (STAQS) and Atmospheric Emissions and Reactions Observed from Megacities to Marine Areas (AEROMMA) campaigns in summer 2023. The comparison with airborne in situ and lidar measurements shows very good agreement, with systematic differences below 10 % throughout most of the measurement range. An additional comparison with nearby surface ozone measuring instruments indicates unbiased measurements by the SMOL lidars down to 200 m a.g.l. Further comparison with the Goddard Earth Observing System Composition Forecast (GEOS-CF) model suggests that such lidars are a critical tool to perform model validation and can potentially be used for assimilation to air quality forecasts. | |
| 651 | 4 | |a United States--US | |
| 651 | 4 | |a Table Mountain | |
| 653 | |a Measuring instruments | ||
| 653 | |a Air quality | ||
| 653 | |a Thermal cycling | ||
| 653 | |a Ozone | ||
| 653 | |a Chemical reactions | ||
| 653 | |a Lidar | ||
| 653 | |a Neodymium lasers | ||
| 653 | |a Wavelength | ||
| 653 | |a Air quality forecasting | ||
| 653 | |a Pollution monitoring | ||
| 653 | |a Measurement techniques | ||
| 653 | |a Transmitters | ||
| 653 | |a Outdoor air quality | ||
| 653 | |a Ozone measurements | ||
| 653 | |a Semiconductor lasers | ||
| 653 | |a Differential absorption lidar | ||
| 653 | |a Tropospheric ozone | ||
| 653 | |a Efficiency | ||
| 653 | |a Emission measurements | ||
| 653 | |a Emissions | ||
| 653 | |a Air conditioning | ||
| 653 | |a Marine environment | ||
| 653 | |a Lasers | ||
| 653 | |a Air quality measurements | ||
| 653 | |a YAG lasers | ||
| 653 | |a Troposphere | ||
| 653 | |a Lidar measurements | ||
| 653 | |a Megacities | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Leblanc, Thierry |u Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA, USA | |
| 700 | 1 | |a Wang, Patrick |u Jet Propulsion Laboratory, California Institute of Technology, Wrightwood, CA, USA | |
| 700 | 1 | |a Brown, Steven S |u NOAA Chemical Sciences Laboratory, Boulder, CO, USA | |
| 700 | 1 | |a Zuraski, Kristen |u NOAA Chemical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA | |
| 700 | 1 | |a Chace, Wyndom |u NOAA Chemical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA; Department of Chemistry, University of Colorado Boulder, Boulder, CO, USA | |
| 700 | 1 | |a Womack, Caroline C |u NOAA Chemical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA | |
| 700 | 1 | |a Peischl, Jeff |u NOAA Chemical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA | |
| 700 | 1 | |a Hair, John |u NASA Langley Research Center, Hampton, VA, USA | |
| 700 | 1 | |a Taylor Shingler |u NASA Langley Research Center, Hampton, VA, USA | |
| 700 | 1 | |a Sullivan, John |u NASA Goddard Space Flight Center, Greenbelt, MD, USA | |
| 773 | 0 | |t Atmospheric Measurement Techniques |g vol. 18, no. 2 (2025), p. 405 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159315929/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3159315929/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3159315929/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |