Published September 2022 | Published
Journal Article

Remote sensing of atmospheric HDO/H₂O in southern California from CLARS-FTS

  • 1. ROR icon University of California, Los Angeles
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Jet Propulsion Lab
  • 4. Bay Area Air Quality Management District
  • 5. ROR icon Netherlands Institute for Space Research

Abstract

Atmospheric isotopologues of water vapor (e.g., HDO) are important tracers for understanding Earth's hydrological cycles. Most remote sensing and in-situ measurements of these isotopologues, however, are either column averaged values or sparse in space and time. Measurements targeting the planetary boundary layer (PBL), the part of the atmosphere that has high sensitivity to surface sources of water vapor isotopologues, are much rarer. In this study, we retrieved HDO and H2O columns from observations by the California Laboratory for Atmospheric Remote Sensing Fourier Transform Spectrometer (CLARS-FTS), a mountaintop observatory on Mt. Wilson (1.67 km a.s.l.) overlooking the Los Angeles (LA) basin in southern California. CLARS-FTS observations are highly sensitive to the lower atmosphere due to the long light path along the PBL. Retrievals were conducted using spectral windows between 6000 and 7000 cm−1 from CLARS-FTS observations (2011–2019). The isotopological abundance δD, which represents the relative difference of the HDO/H2O ratio to a standard abundance ratio, is also calculated. The averaged δD retrievals are (−156.1 ± 60.0)‰ with an uncertainty of (6.1 ± 10.2)‰ for LA Basin Survey mode and (−344.7 ± 95.0)‰ with an uncertainty of (42.4 ± 31.6)‰ for Spectralon Viewing Observation mode. In LA, the δD shows a seasonal cycle that is primarily driven by the change of atmospheric humidity. A comparison analysis shows that the δD measurements by CLARS-FTS, a collocated Total Carbon Column Observing Network (TCCON), and the TROPOspheric Monitoring Instrument (TROPOMI) are in good agreement. The difference between CLARS and TCCON δD retrievals can primarily be attributed to the difference in their observation geometries. We envision that the HDO and δD measurements from CLARS-FTS provide high spatial and temporal resolution datasets for further study of hydrological processes, such as the partitioning of the water flux into soil evaporation and transpiration, standing water evaporation, or transport and mixing from the oceans, in the LA megacity.

 

Copyright and License

© 2022 Elsevier Ltd. All rights reserved.

Acknowledgement

We would like to thank Geoffrey Toon (JPL) for proofreading and suggestions on the first draft of this manuscript, and Paul Wennberg (Caltech) and Coleen Roehl (Caltech) for providing the TCCON data. OA would like to thank the National Science Foundation COSMOS Scholarship, the Maximizing Student Potential in STEM program at the Jet Propulsion Laboratory, and Occidental College Undergraduate Research Center for helping to fund the summer experience. The CLARS project receives support from the California Air Resources Board. However, the results presented in this study do not necessarily present the views of the funding agency. Part of the CLARS-FTS data are available from http://clars.caltech.edu/ and the NASA Megacities Project at https://megacities.jpl.nasa.gov. The HDO/H2O retrievals from this study are available from https://data.caltech.edu/records/1920. The TROPOMI HDO data set from this study is available for download at ftp://ftp.sron.nl/open-access-data-2/TROPOMI/tropomi/hdo/9_1/ (last access: 12 December 2020). TCCON data are available from the TCCON Data Archive: https://doi.org/10.14291/tccon.ggg2014.pasadena01.r1/1182415. Part of the research described in this article was performed at the Jet Propulsion Laboratory, California Institute of Technology and NASA under contracts with the National Aeronautics and Space Administration.

Additional details

Created:
February 13, 2025
Modified:
February 13, 2025