Literature DB >> 31396266

Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations.

Peng Liu1, Christian Hogrefe2, Ulas Im3, Jesper H Christensen3, Johannes Bieser4, Uarporn Nopmongcol5, Greg Yarwood5, Rohit Mathur2, Shawn Roselle2, Tanya Spero2.   

Abstract

Increasing emphasis has been placed on characterizing the contributions and the uncertainties of ozone imported from outside the US. In chemical transport models (CTMs), the ozone transported through lateral boundaries (referred to as LB ozone hereafter) undergoes a series of physical and chemical processes in CTMs, which are important sources of the uncertainty in estimating the impact of LB ozone on ozone levels at the surface. By implementing inert tracers for LB ozone, the study seeks to better understand how differing representations of physical processes in regional CTMs may lead to differences in the simulated LB ozone that eventually reaches the surface across the US. For all the simulations in this study (including WRF/CMAQ, WRF/CAMx, COSMO-CLM/CMAQ, and WRF/DEHM), three chemically inert tracers that generally represent the altitude ranges of the planetary boundary layer (BC1), free troposphere (BC2), and upper troposphere-lower stratosphere (BC3) are tracked to assess the simulated impact of LB specification. Comparing WRF/CAMx with WRF/CMAQ, their differences in vertical grid structure explain 10 %-60 % of their seasonally averaged differences in inert tracers at the surface. Vertical turbulent mixing is the primary contributor to the remaining differences in inert tracers across the US in all seasons. Stronger vertical mixing in WRF/CAMx brings more BC2 downward, leading to higher BCT (BCT = BC1+BC2+BC3) and BC2/BCT at the surface in WRF/CAMx. Meanwhile, the differences in inert tracers due to vertical mixing are partially counteracted by their difference in sub-grid cloud mixing over the southeastern US and the Gulf Coast region during summer. The process of dry deposition adds extra gradients to the spatial distribution of the differences in DM8A BCT by 5-10 ppb during winter and summer. COSMO-CLM/CMAQ and WRF/CMAQ show similar performance in inert tracers both at the surface and aloft through most seasons, which suggests similarity between the two models at process level. The largest difference is found in summer. Sub-grid cloud mixing plays a primary role in their differences in inert tracers over the southeastern US and the oceans in summer. Our analysis of the vertical profiles of inert tracers also suggests that the model differences in dry deposition over certain regions are offset by the model differences in vertical turbulent mixing, leading to small differences in inert tracers at the surface in these regions.

Entities:  

Year:  2018        PMID: 31396266      PMCID: PMC6687296          DOI: 10.5194/acp-18-17157-2018

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   6.133


  4 in total

1.  Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States.

Authors:  Christian Hogrefe; Peng Liu; George Pouliot; Rohit Mathur; Shawn Roselle; Johannes Flemming; Meiyun Lin; Rokjin J Park
Journal:  Atmos Chem Phys       Date:  2018       Impact factor: 6.133

2.  Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown.

Authors:  Efisio Solazzo; Roberto Bianconi; Christian Hogrefe; Gabriele Curci; Paolo Tuccella; Ummugulsum Alyuz; Alessandra Balzarini; Rocio Barô; Roberto Bellasio; Johannes Bieser; Jørgen Brandt; Jesper H Christensen; Augistin Colette; Xavier Francis; Andrea Fraser; Marta Garcia Vivanco; Pedro Jiménez-Guerrero; Ulas Im; Astrid Manders; Uarporn Nopmongcol; Nutthida Kitwiroon; Guido Pirovano; Luca Pozzoli; Marje Prank; Ranjeet S Sokhi; Alper Unal; Greg Yarwood; Stefano Galmarini
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

3.  Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales: Overview of Process Considerations and Initial Applications.

Authors:  Rohit Mathur; Jia Xing; Robert Gilliam; Golam Sarwar; Christian Hogrefe; Jonathan Pleim; George Pouliot; Shawn Roselle; Tanya L Spero; David C Wong; Jeffrey Young
Journal:  Atmos Chem Phys       Date:  2017       Impact factor: 6.133

4.  Technical note: Coordination and harmonization of the multi-scale, multi-model activities HTAP2, AQMEII3, and MICS-Asia3: simulations, emission inventories, boundary conditions, and model output formats.

Authors:  Stefano Galmarini; Brigitte Koffi; Efisio Solazzo; Terry Keating; Christian Hogrefe; Michael Schulz; Anna Benedictow; Jan Jurgen Griesfeller; Greet Janssens-Maenhout; Greg Carmichael; Joshua Fu; Frank Dentener
Journal:  Atmos Chem Phys Discuss       Date:  2017-01-31
  4 in total
  1 in total

1.  Multiscale Modeling of Background Ozone: Research Needs to Inform and Improve Air Quality Management.

Authors:  C Hogrefe; B Henderson; G Tonnesen; R Mathur; R Matichuk
Journal:  EM (Pittsburgh Pa)       Date:  2020-11-01
  1 in total

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