EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Statistical Characterization of Temperature and Pressure Vertical Profiles for the Analysis of Laser Heterodyne Data

J. Houston Miller1, Monica Flores1, and David Bomse2
J. Houston Miller et al.
  • 1George Washington University, Chemistry, Washington DC, United States of America (
  • 2Mesa Photonics, 1550 Pacheco Street, Santa Fe, NM 87505
We present an analysis of historic pressure and temperature profiles from radiosonde
launches that will be used in retrieval of mixing fractions for greenhouse gases (GHGs, including
carbon dioxide, methane, and water vapor) in Laser Heterodyne Radiometry (LHR) data. With
over 2,700 stations worldwide, the global coverage for weather balloon observations is
extensive. Radiosonde stations included in the Integrated Global Radiosonde Archive (IGRA),
are launched simultaneously twice daily at 00:00 and 12:00 UTC. Global stations span all time
zones in both the Northern and Southern Hemisphere.
Mesa Photonics and George Washington University are developing a variant of LHR
known as Precision Heterodyne, Oxygen-Corrected Spectroscopy (PHOCS) that simultaneously
collects high-resolution, oxygen spectral line shape data. Because oxygen concentrations in the
troposphere and lower stratosphere are constant, these line shapes are uniquely sensitive to both
temperature and pressure profiles and constrained fitting of these line shapes enables more
precise GHG concentration retrievals.
Our approach is to collect historic data over several years (typically the prior decade) for
a particular date window surrounding a PHOCS measurement date for stations across the globe,
and mine this data for observation probability distributions as a function of level altitude, local
time of day of launch, latitude, etc. These distributions will then be used as Bayesian priors to
constrain temperature and pressure fits during the oxygen spectral fitting routine. Subsequently,
these priors will be used to estimate uncertainties in vertically-resolved GHG mixing ratios.

How to cite: Miller, J. H., Flores, M., and Bomse, D.: Statistical Characterization of Temperature and Pressure Vertical Profiles for the Analysis of Laser Heterodyne Data, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-6802,, 2021.

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