A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm
Creators
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      Laughner, Joshua L.1
  
  
    
      
        
        
          
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      Roche, Sébastien2, 3
  
  
    
      
        
        
          
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      Kiel, Matthäus1
  
  
    
      
        
        
          
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      Toon, Geoffrey C.1
  
  
    
      
        
        
          
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      Wunch, Debra2
  
  
    
      
        
        
          
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      Baier, Bianca C.4, 5
  
  
    
      
        
        
          
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      Biraud, Sébastien6
  
  
    
      
        
        
          
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      Chen, Huilin7
  
  
    
      
        
        
          
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      Kivi, Rigel8
  
  
    
      
        
        
          
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      Laemmel, Thomas9, 10
  
  
    
      
        
        
          
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      McKain, Kathryn4, 5
  
  
    
      
        
        
          
 - Quéhé, Pierre-Yves11
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      Rousogenous, Constantina11
  
  
    
      
        
        
          
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      Stephens, Britton B.12
  
  
    
      
        
        
          
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      Walker, Kaley2
  
  
    
      
        
        
          
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      Wennberg, Paul O.13
  
  
    
      
        
        
          
 
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      1.
      
        
        
        
          
            
Jet Propulsion Lab
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      2.
      
        
        
        
          
            
University of Toronto
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      3.
      
        
        
        
          
            
Harvard University
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      4.
      
        
        
        
          
            
National Oceanic and Atmospheric Administration
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Cooperative Institute for Research in Environmental Sciences
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Lawrence Berkeley National Laboratory
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      7.
      
        
        
        
          
            
University of Groningen
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Finnish Meteorological Institute
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Laboratoire des Sciences du Climat et de l'Environnement
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University of Bern
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      11.
      
        
        
        
          
            
Cyprus Institute
 - 12. Earth Observing Laboratory, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
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      13.
      
        
        
        
          
            
California Institute of Technology
 
Abstract
Optimal estimation retrievals of trace gas total columns require prior vertical profiles of the gases retrieved to drive the forward model and ensure the retrieval problem is mathematically well posed. For well-mixed gases, it is possible to derive accurate prior profiles using an algorithm that accounts for general patterns of atmospheric transport coupled with measured time series of the gases in questions. Here we describe the algorithm used to generate the prior profiles for GGG2020, a new version of the GGG retrieval that is used to analyze spectra from solar-viewing Fourier transform spectrometers, including the Total Carbon Column Observing Network (TCCON). A particular focus of this work is improving the accuracy of CO2, CH4, N2O, HF, and CO across the tropopause and into the lower stratosphere. We show that the revised priors agree well with independent in situ and space-based measurements and discuss the impact on the total column retrievals.
Copyright and License
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. Published by Copernicus Publications on behalf of the European Geosciences Union.
Acknowledgement
The authors are deeply grateful to Arlyn Andrews from NOAA for providing the approach to generate the stratospheric CO2, which was adapted and expanded upon for the other stratospheric priors, as well as the tables of stratospheric age of air used throughout this work. The GEOS data used in this study/project have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. Joshua L. Laughner and Paul O. Wennberg acknowledge funding from NASA grant NNX17AE15G. We thank all TCCON partners for carrying out the GGG2014 and GGG2020 retrievals that provided the VSFs for Sect. 5.2. The AirCore campaign in Cyprus received support by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 856612 and the government of Cyprus and additional support from the Service National d'Observation ICOS-France-Atmosphere coordinated by LSCE. The TCCON Nicosia site has received additional support from the European Union's Horizon 2020 Research and Innovation Programme (EMME-CARE) under grant agreement no. 856612, the government of Cyprus, and the University of Bremen. The CH4 tower measurements at Park Falls were supported by the DOE Ameriflux Network Management project award to the ChEAS core site cluster (NSF nos. 0845166 and 1822420). NOAA/GML AirCore profiles were supported by NASA (grant no. 80NSSC18K0898). The authors are grateful to Peter Bernath for his leadership of the ACE-FTS project, which was invaluable to this work. The Atmospheric Chemistry Experiment (ACE), also known as SCISAT, is a Canadian-led mission mainly supported by the Canadian Space Agency. A portion of this research was carried out at the Jet Propulsion Laboratory (JPL), California Institute of Technology, under a contract with NASA (80NM0018D0004). Government sponsorship is also acknowledged.
Funding
This research has been supported by the National Aeronautics and Space Administration (grant nos. 80NM0018D0004, NNX17AE15G, and 80NSSC18K0898), the National Science Foundation (grant nos. 0845166 and 1822420), and Horizon 2020 (EMME-CARE, grant no. 856612). Additional support has been provided by the government of Cyprus and the University of Bremen.
Data Availability
The code to generate GGG2020 prior profiles is the “ginput” package, available from GitHub (https://doi.org/10.22002/D1.20285; Laughner, 2022). GGG2020 TCCON data use ginput version 1.0.6, which is scientifically identical to the publicly archived 1.0.7 version (https://doi.org/10.22002/D1.1880; Laughner et al., 2021). HIPPO data, provided by NCAR/EOL under the sponsorship of the National Science Foundation (https://data.eol.ucar.edu/, last access: 19 June 2019), were obtained from HIPPO Merged 10-second Meteorology, Atmospheric Chemistry, Aerosol Data (R_20121129)https://doi.org/10.3334/CDIAC/HIPPO_010 (Wofsy et al., 2017). ATom data were obtained from https://doi.org/10.3334/ORNLDAAC/1925 (Wofsy et al., 2021). Obspack aircraft data (CO2 GLOBALVIEWplus v5: https://doi.org/10.25925/20190812, Cooperative Global Atmospheric Data Integration Project, 2019; and CH4 GLOBALVIEWplus v2: https://doi.org/10.25925/20200424, Cooperative Global Atmospheric Data Integration Project, 2020) were obtained from https://www.esrl.noaa.gov/gmd/ccgg/obspack/ (last access: 23 October 2020). NOAA AirCore data (v20201223) were provided by Bianca Baier and Colm Sweeney. Sodankylä AirCore data were provided by Huilin Chen and Rigel Kivi. Nicosia AirCore data were provided by Pierre-Yves Quehe. The CMAM model data used in the CO priors were downloaded from https://climate-modelling.canada.ca/climatemodeldata/cmam/output/CMAM/CMAM30-SD/mon/atmosChem/vmrco/index.shtml (last access: 24 July 2019; Canadian Centre for Climate Modeling and Analysis, 2019). ACE-FTS v3.6 data are available from https://doi.org/10.20383/102.0495 (Bernath et al., 2021); access to these products requires registration. GEOS FP-IT data were downloaded from the Goddard Earth Sciences Data Information Services Center (GES-DISC) with a data subscription (see https://gmao.gsfc.nasa.gov/GMAO_products/, last access: 1 March 2023; GES-DISC, 2023; Lucchesi, 2015). CAMS chemical forecast data were downloaded from https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-atmospheric-composition-forecasts?tab=overview (last access: 28 November 2022, CAMS, 202220).
Supplemental Material
The supplement related to this article is available online at: https://doi.org/10.5194/amt-16-1121-2023-supplement.
Contributions
JLL created the priors code, carried out the validation, and led the writing of the manuscript. SR developed the code to read GEOS-FPIT meteorology and interpolate to TCCON locations. MK assisted with development of the CO2 priors. GCT developed the original GGG priors, of which the climatological profiles used for the secondary gases (Sect. 2.4), seasonal cycle parameterization, and tropospheric distance function are retained in this work. POW guided the overall project. Other authors contributed data for validation of the priors. All authors reviewed the manuscript.
Conflict of Interest
At least one of the (co-)authors is a member of the editorial board of Atmospheric Measurement Techniques. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.
Additional Information
This paper was edited by Jian Xu and reviewed by Zhao-Cheng Zeng and one anonymous referee.
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Additional details
          
            Funding
          
        
      - National Aeronautics and Space Administration
 - 80NM0018D0004
 - National Aeronautics and Space Administration
 - NNX17AE15G
 - National Aeronautics and Space Administration
 - 80NSSC18K0898
 - National Science Foundation
 - 0845166
 - National Science Foundation
 - AGS-1822420
 - European Research Council
 - EMME-CARE 856612
 - University of Bremen
 
Dates
- Accepted
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      2023-02-07