1
|
Clifton OE, Schwede D, Hogrefe C, Bash JO, Bland S, Cheung P, Coyle M, Emberson L, Flemming J, Fredj E, Galmarini S, Ganzeveld L, Gazetas O, Goded I, Holmes CD, Horváth L, Huijnen V, Li Q, Makar PA, Mammarella I, Manca G, Munger JW, Pérez-Camanyo JL, Pleim J, Ran L, Jose RS, Silva SJ, Staebler R, Sun S, Tai APK, Tas E, Vesala T, Weidinger T, Wu Z, Zhang L. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). ATMOSPHERIC CHEMISTRY AND PHYSICS 2023; 23:9911-9961. [PMID: 37990693 PMCID: PMC10659075 DOI: 10.5194/acp-23-9911-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
A primary sink of air pollutants and their precursors is dry deposition. Dry deposition estimates differ across chemical transport models, yet an understanding of the model spread is incomplete. Here, we introduce Activity 2 of the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4). We examine 18 dry deposition schemes from regional and global chemical transport models as well as standalone models used for impact assessments or process understanding. We configure the schemes as single-point models at eight Northern Hemisphere locations with observed ozone fluxes. Single-point models are driven by a common set of site-specific meteorological and environmental conditions. Five of eight sites have at least 3 years and up to 12 years of ozone fluxes. The interquartile range across models in multiyear mean ozone deposition velocities ranges from a factor of 1.2 to 1.9 annually across sites and tends to be highest during winter compared with summer. No model is within 50 % of observed multiyear averages across all sites and seasons, but some models perform well for some sites and seasons. For the first time, we demonstrate how contributions from depositional pathways vary across models. Models can disagree with respect to relative contributions from the pathways, even when they predict similar deposition velocities, or agree with respect to the relative contributions but predict different deposition velocities. Both stomatal and nonstomatal uptake contribute to the large model spread across sites. Our findings are the beginning of results from AQMEII4 Activity 2, which brings scientists who model air quality and dry deposition together with scientists who measure ozone fluxes to evaluate and improve dry deposition schemes in the chemical transport models used for research, planning, and regulatory purposes.
Collapse
Affiliation(s)
- Olivia E. Clifton
- NASA Goddard Institute for Space Studies, New York, NY, USA
- Center for Climate Systems Research, Columbia Climate School, Columbia University in the City of New York, New York, NY, USA
| | - Donna Schwede
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Christian Hogrefe
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Jesse O. Bash
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Sam Bland
- Stockholm Environment Institute, Environment and Geography Department, University of York, York, UK
| | - Philip Cheung
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Mhairi Coyle
- United Kingdom Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, UK
- The James Hutton Institute, Craigiebuckler, Aberdeen, UK
| | - Lisa Emberson
- Environment and Geography Department, University of York, York, UK
| | | | - Erick Fredj
- Department of Computer Science, The Jerusalem College of Technology, Jerusalem, Israel
| | | | - Laurens Ganzeveld
- Meteorology and Air Quality Section, Wageningen University, Wageningen, the Netherlands
| | - Orestis Gazetas
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Ignacio Goded
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Christopher D. Holmes
- Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA
| | - László Horváth
- ELKH-SZTE Photoacoustic Research Group, Department of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary
| | - Vincent Huijnen
- Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
| | - Qian Li
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Paul A. Makar
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Ivan Mammarella
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Giovanni Manca
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - J. William Munger
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
| | | | - Jonathan Pleim
- Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Limei Ran
- Natural Resources Conservation Service, United States Department of Agriculture, Greensboro, NC, USA
| | - Roberto San Jose
- Computer Science School, Technical University of Madrid (UPM), Madrid, Spain
| | - Sam J. Silva
- Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ralf Staebler
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Shihan Sun
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
| | - Amos P. K. Tai
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Eran Tas
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Timo Vesala
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
- Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
| | - Tamás Weidinger
- Department of Meteorology, Institute of Geography and Earth Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Zhiyong Wu
- ORISE Fellow at Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Leiming Zhang
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| |
Collapse
|
2
|
Ran L, Pleim J, Song C, Band L, Walker JT, Binkowski FS. A Photosynthesis-based Two-leaf Canopy Stomatal Conductance Model for Meteorology and Air Quality Modeling with WRF/CMAQ PX LSM. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2017; 122:1930-1952. [PMID: 30505641 PMCID: PMC6260954 DOI: 10.1002/2016jd025583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
A coupled photosynthesis-stomatal conductance model with single layer sunlit and shaded leaf canopy scaling is developed for the Pleim-Xiu land surface model (LSM) option in the meteorology and air quality modeling system - WRF/CMAQ (Weather Research and Forecast model and Community Multiscale Air Quality model). The photosynthesis-based model for the PX LSM (PX PSN) is implemented and evaluated in a diagnostic box model that has evapotranspiration and ozone deposition components taken directly from WRF/CMAQ. We evaluate PX PSN for latent heat (LH) estimation at four FLUXNET sites with different vegetation types and landscape characteristics and at one FLUXNET site with ozone flux measurements against the simple Jarvis approach used in the current PX LSM. Overall, the PX PSN simulates LH as well as the PX Jarvis approach. The PX PSN, however, shows distinct advantages over the PX Jarvis approach on grassland that likely results from its treatment of C3 and C4 plants for CO2 assimilation estimation. Simulations using Moderate Resolution Imaging Spectroradiometer (MODIS) LAI rather than LAI observations assess how the model would perform with the grid averaged data available in the Eulerian grid model (WRF/CMAQ). While MODIS LAI generally follows the seasonality of the observed LAI, it cannot capture the extreme highs and lows of the site measurements. MODIS LAI estimates degrade model performance at all sites but one site having old and tall trees. Ozone deposition velocity and ozone flux along with LH are simulated especially well by PX PSN as compared to significant PX Jarvis overestimation.
Collapse
Affiliation(s)
- Limei Ran
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Jonathan Pleim
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Conghe Song
- Institute for the Environment, University of North Carolina at Chapel Hill, North Carolina, USA
| | - Larry Band
- Institute for the Environment, University of North Carolina at Chapel Hill, North Carolina, USA
| | - John T. Walker
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Francis S. Binkowski
- Institute for the Environment, University of North Carolina at Chapel Hill, North Carolina, USA
| |
Collapse
|