Articles | Volume 19, issue 6
https://doi.org/10.5194/bg-19-1753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-1753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Mar 2022
Research article |
| 28 Mar 2022
| 28 Mar 2022
Influence of plant ecophysiology on ozone dry deposition: comparing between multiplicative and photosynthesis-based dry deposition schemes and their responses to rising CO2 level
Shihan Sun
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Sha Tin, Hong Kong SAR, China
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Sha Tin, Hong Kong SAR, China
State Key Laboratory of Agrobiotechnology and Institute of
Environment, Energy and Sustainability, The Chinese University of Hong Kong,
Sha Tin, Hong Kong SAR, China
David H. Y. Yung
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Sha Tin, Hong Kong SAR, China
Anthony Y. H. Wong
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Sha Tin, Hong Kong SAR, China
Department of Earth and Environmental, Boston University, Boston, USA
Jason A. Ducker
Department of Earth, Ocean, and Atmospheric Science, Florida State
University, Tallahassee, Florida, USA
Christopher D. Holmes
Department of Earth, Ocean, and Atmospheric Science, Florida State
University, Tallahassee, Florida, USA
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Yuxuan Wang, Nan Lin, Wei Li, Alex Guenther, Joey C. Y. Lam, Amos P. K. Tai, Mark J. Potosnak, and Roger Seco
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Ilann Bourgeois, Jeff Peischl, J. Andrew Neuman, Steven S. Brown, Hannah M. Allen, Pedro Campuzano-Jost, Matthew M. Coggon, Joshua P. DiGangi, Glenn S. Diskin, Jessica B. Gilman, Georgios I. Gkatzelis, Hongyu Guo, Hannah A. Halliday, Thomas F. Hanisco, Christopher D. Holmes, L. Gregory Huey, Jose L. Jimenez, Aaron D. Lamplugh, Young Ro Lee, Jakob Lindaas, Richard H. Moore, Benjamin A. Nault, John B. Nowak, Demetrios Pagonis, Pamela S. Rickly, Michael A. Robinson, Andrew W. Rollins, Vanessa Selimovic, Jason M. St. Clair, David Tanner, Krystal T. Vasquez, Patrick R. Veres, Carsten Warneke, Paul O. Wennberg, Rebecca A. Washenfelder, Elizabeth B. Wiggins, Caroline C. Womack, Lu Xu, Kyle J. Zarzana, and Thomas B. Ryerson
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Christopher D. Holmes
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Ka Ming Fung, Maria Val Martin, and Amos P. K. Tai
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Jiachen Zhu, Amos P. K. Tai, and Steve Hung Lam Yim
Atmos. Chem. Phys., 22, 765–782, https://doi.org/10.5194/acp-22-765-2022, https://doi.org/10.5194/acp-22-765-2022, 2022
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Jin Liao, Glenn M. Wolfe, Reem A. Hannun, Jason M. St. Clair, Thomas F. Hanisco, Jessica B. Gilman, Aaron Lamplugh, Vanessa Selimovic, Glenn S. Diskin, John B. Nowak, Hannah S. Halliday, Joshua P. DiGangi, Samuel R. Hall, Kirk Ullmann, Christopher D. Holmes, Charles H. Fite, Anxhelo Agastra, Thomas B. Ryerson, Jeff Peischl, Ilann Bourgeois, Carsten Warneke, Matthew M. Coggon, Georgios I. Gkatzelis, Kanako Sekimoto, Alan Fried, Dirk Richter, Petter Weibring, Eric C. Apel, Rebecca S. Hornbrook, Steven S. Brown, Caroline C. Womack, Michael A. Robinson, Rebecca A. Washenfelder, Patrick R. Veres, and J. Andrew Neuman
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Xueying Liu, Amos P. K. Tai, and Ka Ming Fung
Atmos. Chem. Phys., 21, 17743–17758, https://doi.org/10.5194/acp-21-17743-2021, https://doi.org/10.5194/acp-21-17743-2021, 2021
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Nicole Jacobs, William R. Simpson, Kelly A. Graham, Christopher Holmes, Frank Hase, Thomas Blumenstock, Qiansi Tu, Matthias Frey, Manvendra K. Dubey, Harrison A. Parker, Debra Wunch, Rigel Kivi, Pauli Heikkinen, Justus Notholt, Christof Petri, and Thorsten Warneke
Atmos. Chem. Phys., 21, 16661–16687, https://doi.org/10.5194/acp-21-16661-2021, https://doi.org/10.5194/acp-21-16661-2021, 2021
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Anthony Y. H. Wong and Jeffrey A. Geddes
Atmos. Chem. Phys., 21, 16479–16497, https://doi.org/10.5194/acp-21-16479-2021, https://doi.org/10.5194/acp-21-16479-2021, 2021
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Zachary C. J. Decker, Michael A. Robinson, Kelley C. Barsanti, Ilann Bourgeois, Matthew M. Coggon, Joshua P. DiGangi, Glenn S. Diskin, Frank M. Flocke, Alessandro Franchin, Carley D. Fredrickson, Georgios I. Gkatzelis, Samuel R. Hall, Hannah Halliday, Christopher D. Holmes, L. Gregory Huey, Young Ro Lee, Jakob Lindaas, Ann M. Middlebrook, Denise D. Montzka, Richard Moore, J. Andrew Neuman, John B. Nowak, Brett B. Palm, Jeff Peischl, Felix Piel, Pamela S. Rickly, Andrew W. Rollins, Thomas B. Ryerson, Rebecca H. Schwantes, Kanako Sekimoto, Lee Thornhill, Joel A. Thornton, Geoffrey S. Tyndall, Kirk Ullmann, Paul Van Rooy, Patrick R. Veres, Carsten Warneke, Rebecca A. Washenfelder, Andrew J. Weinheimer, Elizabeth Wiggins, Edward Winstead, Armin Wisthaler, Caroline Womack, and Steven S. Brown
Atmos. Chem. Phys., 21, 16293–16317, https://doi.org/10.5194/acp-21-16293-2021, https://doi.org/10.5194/acp-21-16293-2021, 2021
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nighttimechemistry thrives and controls the fate of key smoke plume chemical processes.
Stefano Galmarini, Paul Makar, Olivia E. Clifton, Christian Hogrefe, Jesse O. Bash, Roberto Bellasio, Roberto Bianconi, Johannes Bieser, Tim Butler, Jason Ducker, Johannes Flemming, Alma Hodzic, Christopher D. Holmes, Ioannis Kioutsioukis, Richard Kranenburg, Aurelia Lupascu, Juan Luis Perez-Camanyo, Jonathan Pleim, Young-Hee Ryu, Roberto San Jose, Donna Schwede, Sam Silva, and Ralf Wolke
Atmos. Chem. Phys., 21, 15663–15697, https://doi.org/10.5194/acp-21-15663-2021, https://doi.org/10.5194/acp-21-15663-2021, 2021
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Halogen radicals have a broad range of implications for tropospheric chemistry, air quality, and climate. We present a new mechanistic description and comprehensive simulation of tropospheric halogens in a global 3-D model and compare the model results with surface and aircraft measurements. We find that halogen chemistry decreases the global tropospheric burden of ozone by 11 %, NOx by 6 %, and OH by 4 %.
Felix Leung, Karina Williams, Stephen Sitch, Amos P. K. Tai, Andy Wiltshire, Jemma Gornall, Elizabeth A. Ainsworth, Timothy Arkebauer, and David Scoby
Geosci. Model Dev., 13, 6201–6213, https://doi.org/10.5194/gmd-13-6201-2020, https://doi.org/10.5194/gmd-13-6201-2020, 2020
Short summary
Short summary
Ground-level ozone (O3) is detrimental to plant productivity and crop yield. Currently, the Joint UK Land Environment Simulator (JULES) includes a representation of crops (JULES-crop). The parameters for O3 damage in soybean in JULES-crop were calibrated against photosynthesis measurements from the Soybean Free Air Concentration Enrichment (SoyFACE). The result shows good performance for yield, and it helps contribute to understanding of the impacts of climate and air pollution on food security.
Lang Wang, Amos P. K. Tai, Chi-Yung Tam, Mehliyar Sadiq, Peng Wang, and Kevin K. W. Cheung
Atmos. Chem. Phys., 20, 11349–11369, https://doi.org/10.5194/acp-20-11349-2020, https://doi.org/10.5194/acp-20-11349-2020, 2020
Short summary
Short summary
We investigate the effects of future land use and land cover change (LULCC) on surface ozone air quality worldwide and find that LULCC can significantly influence ozone in North America and Europe via modifying surface energy balance, boundary-layer meteorology, and regional circulation. The strength of such “biogeophysical effects” of LULCC is strongly dependent on forest type and generally greater than the “biogeochemical effects” via changing deposition and emission fluxes alone.
Cited articles
Ainsworth, E. A. and Long, S. P.: What have we learned from 15 years of
free-air CO2 enrichment (FACE)?, A meta-analytic review of the responses
of photosynthesis, canopy, New Phytol., 165, 351–371, https://doi.org/10.1111/j.1469-8137.2004.01224.x, 2005.
Ainsworth, E. A., Yendrek, C. R., Sitch, S., Collins, W. J., and Emberson,
L. D.: The Effects of Tropospheric Ozone on Net Primary Productivity and
Implications for Climate Change, Annu. Rev. Plant Biol., 63, 637–661,
https://doi.org/10.1146/annurev-arplant-042110-103829, 2012.
Bai, Y., Li, X. Y., Zhou, S., Yang, X. F., Yu, K. L., Wang, M. J., Liu, S.
M., Wang, P., Wu, X. C., Wang, X. C., Zhang, C. C., Shi, F. Z., Wang, Y.,
and Wu, Y. N.: Quantifying plant transpiration and canopy conductance using
eddy flux data: An underlying water use efficiency method, Agr. Forest
Meteorol., 271, 375–384, https://doi.org/10.1016/j.agrformet.2019.02.035, 2019.
Baldocchi, D. D., Hicks, B. B., and Meyers, T. P.: Measuring
Biosphere-Atmosphere Exchanges of Biologically Related Gases with
Micrometeorological Methods, Ecology, 69, 1331–1340, https://doi.org/10.2307/1941631, 1988.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal
conductance and its contribution to the control of photosynthesis under
different environmental conditions, edited by: Biggins, J., in: Progress in
Photosynthesis Research, Springer, Dordrecht, 221–224, https://doi.org/10.1007/978-94-017-0519-6_48, 1987.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore,
A. M., Li, Q. B., Liu, H. G. Y., Mickley, L. J., and Schultz, M. G.: Global
modeling of tropospheric chemistry with assimilated meteorology: Model
description and evaluation, J. Geophys. Res.-Atmos, 106, 23073–23095, https://doi.org/10.1029/2001JD000807, 2001.
Bonan, G. B.: Climate Change and Terrestrial Ecosystem Modeling, 1st Edn., Cambridge University Press, Cambridge, United Kingdom, https://doi.org/10.1017/9781107339217, 2019.
Bourtsoukidis, E., Behrendt, T., Yanez-Serrano, A. M., Hellen, H.,
Diamantopoulos, E., Catao, E., Ashworth, K., Pozzer, A., Quesada, C. A.,
Martins, D. L., Sa, M., Araujo, A., Brito, J., Artaxo, P., Kesselmeier, J.,
Lelieveld, J., and Williams, J.: Strong sesquiterpene emissions from
Amazonian soils, Nat. Commun., 9, 2226, https://doi.org/10.1038/s41467-018-04658-y, 2018.
Brook, J. R., Zhang, L. M., Di-Giovanni, F., and Padro, J.: Description and
evaluation of a model of deposition velocities for routine estimates of air
pollutant dry deposition over North America, Part I: Model Development,
Atmos. Environ., 33, 5037–5051, https://doi.org/10.1016/S1352-2310(99)00250-2, 1999.
Buckley, T. N., Sack, L., and Farquhar, G. D.: Optimal plant water economy,
Plant Cell Environ., 40, 881–896, https://doi.org/10.1111/pce.12823, 2017.
Büker, P., Emberson, L. D., Ashmore, M. R., Cambridge, H. M., Jacobs, C.
M. J., Massman, W. J., Muller, J., Nikolov, N., Novak, K., Oksanen, E.,
Schaub, M., and de la Torre, D.: Comparison of different stomatal
conductance algorithms for ozone flux modelling, Environ. Pollut., 146,
726–735, https://doi.org/10.1016/j.envpol.2006.04.007, 2007.
Büker, P., Feng, Z., Uddling, J., Briolat, A., Alonso, R., Braun, S.,
Elvira, S., Gerosa, G., Karlsson, P. E., Le Thiec, D., Marzuoli, R., Mills,
G., Oksanen, E., Wieser, G., Wilkinson, M., and Emberson, L. D.: New flux
based dose-response relationships for ozone for European forest tree
species, Environ. Pollut., 206, 163–174, 2015.
Byun, D. W. and Ching, J. K. S.: Science algorithms of the EPA models-3 Community Multiscale Air Quality (CMAQ) modelling system, U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-99/030 (NTIS PB2000-100561), 1999.
Caird, M. A., Richards, J. H., and Donovan, L. A.: Nighttime stomatal
conductance and transpiration in C-3 and C-4 plants, Plant Physiol., 143,
4–10, https://doi.org/10.1104/pp.106.092940, 2007.
Camalier, L., Cox, W., and Dolwick, P.: The effects of meteorology on ozone
in urban areas and their use in assessing ozone trends, Atmos. Environ., 41,
7127–7137, https://doi.org/10.1016/j.atmosenv.2007.04.061,
2007.
Centoni, F.: Global scale modelling of ozone deposition processes
and interaction between surface ozone and climate change, Doctoral
dissertation, The University of Edinburgh, https://isni.org/isni/0000000464211966 (last access: 21 March 2022), 2017.
Clifton, O. E., Fiore, A. M., Munger, J. W., and Wehr, R.: Spatiotemporal
controls on observed daytime ozone deposition velocity over Northeastern
U.S. forests during summer, J. Geophys.
Res.-Atmos, 124, 5612–5628, https://doi.org/10.1029/2018JD029073, 2019.
Clifton, O. E., Fiore, A. M., Massman, W. J., Baublitz, C. B., Coyle, M.,
Emberson, L., Fares, S., Farmer, D. K., Gentine, P., Gerosa, G., Guenther,
A. B., Helmig, D., Lombardozzi, D. L., Munger, J. W., Patton, E. G., Pusede,
S. E., Schwede, D. B., Silva, S. J., Sorgel, M., Steiner, A. L., and Tai, A.
P. K.: Dry Deposition of Ozone Over Land: Processes, Measurement, and
Modeling, Rev. Geophys., 58, e2019RG000670, https://doi.org/10.1029/2019RG000670, 2020a.
Clifton, O. E., Paulot, F., Fiore, A. M., Horowitz, L. W., Correa, G.,
Baublitz, C. B., Fares, S., Goded, I., Goldstein, A. H., Gruening, C., Hogg,
A. J., Loubet, B., Mammarella, I., Munger J. W., Neil, L., Stella, P.,
Uddling, J., Vesala, T., and Weng, E.: Influence of dynamic ozone dry deposition
on ozone pollution, J. Geophys. Res.-Atmos, 125, e2020JD032398, https://doi.org/10.1029/2020JD032398, 2020b.
Cooper, O. R., Parrish, D. D., Ziemke, J., Balashov, N. V., Cupeiro, M.,
Galbally, I. E., Gilge, S., Horowitz, L., Jensen, N. R., Lamarque, J. F.,
Naik, V., Oltmans, S. J., Schwab, J., Shindell, D. T., Thompson, A. M.,
Thouret, V., Wang, Y., and Zbinden, R. M.: Global distribution and trends of
tropospheric ozone: An observation-based review, Elementa, 2,
000029, https://doi.org/10.12952/journal.elementa.000029, 2014.
Cowan, I. R. and Farquhar, G. D.: Stomatal function in relation to leaf
metabolism and environment, Symp. Soc. Exp. Biol., 31, 471–505, 1977.
Ducker, J. A., Holmes, C. D., Keenan, T. F., Fares, S., Goldstein, A. H., Mammarella, I., Munger, J. W., and Schnell, J.: Synthetic ozone deposition and stomatal uptake at flux tower sites, Biogeosciences, 15, 5395–5413, https://doi.org/10.5194/bg-15-5395-2018, 2018.
Elvira, S., Bermejo, V., Manrique, E., and Gimeno, B. S.: On the response of
two populations of Quercus coccifera to ozone and its relationship with
ozone uptake, Atmos. Environ., 38, 2305–2311, https://doi.org/10.1016/j.atmosenv.2003.10.064, 2004.
Emberson, L., Simpson, D., Tuovinen, J., Ashmore, M., and Cambridge, H.:
Towards a model of ozone deposition and stomatal uptake over Europe, EMEP
MSC-W Note 6/2000, EMEP MSC-W Note, 6, 1–57, 2000a.
Emberson, L., Wieser, G., and Ashmore, M.: Modelling of stomatal conductance
and ozone flux of Norway spruce: comparison with field data, Environ. Poll.,
109, 393–402, https://doi.org/10.1016/S0269-7491(00)00042-7,
2000b.
Emberson, L., Ashmore, M., Simpson, D., Tuovinen, J.-P., and Cambridge, H.:
Modelling and mapping ozone deposition in Europe, Water Air Soil Pollut.,
130, 577–582, https://doi.org/10.1023/A:1013851116524, 2001.
Emberson, L., Büker, P., and Ashmore, M.: Assessing the risk caused by
ground level ozone to European forest trees: A case study in pine, beech and
oak across different climate regions, Environ. Poll., 147, 454–466,
https://doi.org/10.1016/j.envpol.2006.10.026, 2007.
Emmerichs, T., Kerkweg, A., Ouwersloot, H., Fares, S., Mammarella, I., and Taraborrelli, D.: A revised dry deposition scheme for land–atmosphere exchange of trace gases in ECHAM/MESSy v2.54, Geosci. Model Dev., 14, 495–519, https://doi.org/10.5194/gmd-14-495-2021, 2021.
Fan, S. M., Wofsy, S. C., Bakwin, P. S., Jacob, D. J., and Fitzjarrald, D.
R.: Atmosphere-Biosphere Exchange of CO2 and O3 in the central
Amazon Forest, J. Geophys. Res.-Atmos., 95, 16851–16864, https://doi.org/10.1029/JD095iD10p16851, 1990.
Fares, S., McKay, M., Holzinger, R., and Goldstein, A. H.: Ozone fluxes in a
Pinus ponderosa ecosystem are dominated by non-stomatal processes: Evidence
from long-term continuous measurements, Agr. Forest Meteorol., 150, 420–431,
https://doi.org/10.1016/j.agrformet.2010.01.007, 2010.
Fares, S., Weber, R., Park, J.-H., Gentner, D., Karlik, J., and Goldstein,
A. H.: Ozone deposition to an orange orchard: Partitioning between stomatal
and non-stomatal sinks, Environ. Pollut., 169, 258–266, https://doi.org/10.1016/j.envpol.2012.01.030, 2012
Fatichi, S., Pappas, C., Zscheischler, J., and Leuzinger, S.: Modelling
carbon sources and sinks in terrestrial vegetation, New Phytol., 221,
652–668, https://doi.org/10.1111/nph.15451, 2019.
Field, C. B., Jackson, R. B., and Mooney, H. A.: Stomatal responses to
increased CO2: implications from the plant to the global scale, Plant
Cell Environ., 18, 1214–1225, https://doi.org/10.1111/j.1365-3040.1995.tb00630.x, 1995.
Flechard, C. R. and Fowler, D.: Atmospheric ammonia at a moorland site. I:
The meteorological control of ambient ammonia concentrations and the
influence of local sources, Q. J. Roy. Meteor. Soc., 124, 733–757,
https://doi.org/10.1002/qj.49712454705, 1998.
Fowler, D., Pilegaard, K., Sutton, M. A., Ambus, P., Raivonen, M., Duyzer,
J., Simpson, D., Fagerli, H., Fuzzi, S., Schjoerring, J. K., Granier, C.,
Neftel, A., Isaksen, I. S. A., Laj, P., Maione, M., Monks, P. S., Burkhardt,
J., Daemmgen, U., Neirynck, J., Personne, E., Wichink-Kruit, R.,
Butterbach-Bahl, K., Flechard, C., Tuovinen, J. P., Coyle, M., Gerosa, G.,
Loubet, B., Altimir, N., Gruenhage, L., Ammann, C., Cieslik, S., Paoletti,
E., Mikkelsen, T. N., Ro-Poulsen, H., Cellier, P., Cape, J. N., Horvath, L.,
Loreto, F., Niinemets, U., Palmer, P. I., Rinne, J., Misztal, P., Nemitz,
E., Nilsson, D., Pryor, S., Gallagher, M. W., Vesala, T., Skiba, U.,
Brueggemann, N., Zechmeister-Boltenstern, S., Williams, J., O'Dowd, C.,
Facchini, M. C., de Leeuw, G., Flossman, A., Chaumerliac, N., and Erisman,
J. W.: Atmospheric composition change: Ecosystems-Atmosphere interactions,
Atmos. Environ., 43, 5193–5267, https://doi.org/10.1016/j.atmosenv.2009.07.068, 2009.
Franks, P. J., Adams, M. A., Amthor, J. S., Barbour, M. M., Berry, J. A.,
Ellsworth, D. S., Farquhar, G. D., Ghannoum, O., Lloyd, J., McDowell, N.,
Norby, R. J., Tissue, D. T., and von Caemmerer, S.: Sensitivity of plants to
changing atmospheric CO2 concentration: from the geological past to the
next century, New Phytol., 197, 1077–1094, https://doi.org/10.1111/nph.12104, 2013.
Franks, P. J., Berry, J. A., Lombardozzi, D. L., and Bonan, G. B.: Stomatal
Function across Temporal and Spatial Scales: Deep-Time Trends,
Land-Atmosphere Coupling and Global Models, Plant Physiol., 174, 583–602,
https://doi.org/10.1104/pp.17.00287, 2017.
Franks, P. J., Bonan, G. B., Berry, J. A., Lombardozzi, D. L., Holbrook, N.
M., Herold, N., and Oleson, K. W.: Comparing optimal and empirical stomatal
conductance models for application in Earth system models, Global Change
Biol., 24, 5708–5723, https://doi.org/10.1111/gcb.14445, 2018.
Foken, T.: 50 years of the Monin-Obukhov similarity theory, Boundary-Layer
Meteorol., 119, 431–447, https://doi.org/10.1007/s10546-006-9048-6, 2006.
Gelaro, R., McCarty, W., Suarez, M. J., Todling, R., Molod, A., Takacs, L.,
Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K.,
Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da
Silva, A. M., Gu, W., Kim, G. K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M.,
Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective
Analysis for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/Jcli-D-16-0758.1, 2017.
Gerosa, G., Derghi, F., and Cieslik, S.: Comparison of different algorithms
for stomatal ozone flux determination from micrometeorological measurements,
Water Air Soil Poll., 179, 309–321, https://doi.org/10.1007/s11270-006-9234-7, 2007.
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G.,
Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within
the WRF model, Atmos. Environ., 39, 6957–6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.
Hardacre, C., Wild, O., and Emberson, L.: An evaluation of ozone dry deposition in global scale chemistry climate models, Atmos. Chem. Phys., 15, 6419–6436, https://doi.org/10.5194/acp-15-6419-2015, 2015.
Haverd, V., Smith, B., Nieradzik, L., Briggs, P. R., Woodgate, W., Trudinger, C. M., Canadell, J. G., and Cuntz, M.: A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis, Geosci. Model Dev., 11, 2995–3026, https://doi.org/10.5194/gmd-11-2995-2018, 2018.
Herrick, J. D., Maherali, H., and Thomas, R. B.: Reduced stomatal
conductance in sweetgum (Liquidambar styraciflua) sustained over long-term CO2 enrichment, New
Phytol, 162, 387–396, https://doi.org/10.1111/j.1469-8137.2004.01045.x, 2004.
Hicks, B. B., Baldocchi, D. D., Meyers, T. P., Hosker, R. P., and Matt, D.
R.: A preliminary multiple resistance routine for deriving dry deposition
velocities from measured quantities, Water Air Soil Poll., 36, 311–330,
https://doi.org/10.1007/BF00229675, 1987.
Hogg, A., Uddling, J., Ellsworth, D., Carroll, M. A., Pressley, S., Lamb,
B., and Vogel, C.: Stomatal and non-stomatal fluxes of ozone to a northern
mixed hardwood forest, Tellus B, 59, 514–525, https://doi.org/10.1111/j.1600-0889.2007.00269.x, 2007.
Holmes, C. D. and Ducker, J. A.: SynFlux: a sythetic dataset of atmospheric deposition and stomatal uptake at flux tower sites (1.1), Zenodo [data set], https://doi.org/10.5281/zenodo.1402054, 2018.
Hoshika, Y., Fares, S., Savi, F., Gruening, C., Goded, I., De Marco, A.,
Sicard, P., and Paoletti, E.: Stomatal conductance models for ozone risk
assessment at canopy level in two Mediterranean evergreen forests, Agr.
Forest Meteorol., 234, 212–221, https://doi.org/10.1016/j.agrformet.2017.01.005, 2017.
Jarvis, P.: The interpretation of the variations in leaf water potential and
stomatal conductance found in canopies in the field, Philos. T. Roy. Soc. B, 273,
593–610, https://doi.org/10.1098/rstb.1976.0035, 1976.
Karnosky, D. F., Skelly, J. M., Percy, K. E., and Chappelka, A. H.:
Perspectives regarding 50 years of research on effects of tropospheric ozone
air pollution on US forests, Environ. Pollut., 147, 489–506, https://doi.org/10.1016/j.envpol.2006.08.043, 2007.
Katul, G., Manzoni, S., Palmroth, S., and Oren, R.: A stomatal optimization
theory to describe the effects of atmospheric CO2 on leaf
photosynthesis and transpiration, Ann. Bot.-London, 105, 431–442, https://doi.org/10.1093/aob/mcp292, 2010.
Kavassalis, S. C. and Murphy, J. G.: Understanding ozone-meteorology
correlations: A role for dry deposition, Geophys. Res. Lett., 44, 2922–2931,
https://doi.org/10.1002/2016gl071791, 2017.
Keronen, P., Reissell, A., Rannik, Ü., Pohja, T., Siivola, E., Hiltunen,
V., Hari, P., Kulmala, M., and Vesala, T.: Ozone flux measurements over a
Scots pine forest using eddy covariance method: performance evaluation and
comparison with flux-profile method, Boreal Environ. Res., 8, 425–443, 2003.
Knauer, J., Werner, C., and Zaehle, S.: Evaluating stomatal models and their
atmospheric drought response in a land surface scheme: A multibiome
analysis, J. Geophys. Res.-Biogeo., 120, 1894–1911, https://doi.org/10.1002/2015jg003114, 2015.
Knauer, J., Zaehle, S., Medlyn, B. E., Reichstein, M., Williams, C. A.,
Migliavacca, M., De Kauwe, M. G., Werner, C., Keitel, C., Kolari, P.,
Limousin, J. M., and Linderson, M. L.: Towards physiologically meaningful
water-use efficiency estimates from eddy covariance data, Global Change
Biol., 24, 694–710, https://doi.org/10.1111/gcb.13893, 2018.
Knauer, J., Zaehle, S., De Kauwe, M. G., Haverd, V., Reichstein, M., and
Sun, Y.: Mesophyll conductance in land surface models: effects on
photosynthesis and transpiration, Plant J., 101, 858–873,
https://doi.org/10.1111/tpj.14587, 2020
Kurpius, M. R. and Goldstein, A. H.: Gas-phase chemistry dominates O3
loss to a forest, implying a source of aerosols and hydroxyl radicals to the
atmosphere, Geophys. Res. Lett., 30, 1371, https://doi.org/10.1029/2002GL016785, 2003.
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C.,
Bonan, G., Collier, N., Ghimire, B., van Kampenhout, L., Kennedy, D.,
Kluzek, E., Lawrence, P. J., Li, F., Li, H. Y., Lombardozzi, D., Riley, W.
J., Sacks, W. J., Shi, M. J., Vertenstein, M., Wieder, W. R., Xu, C. G.,
Ali, A. A., Badger, A. M., Bisht, G., van den Broeke, M., Brunke, M. A.,
Burns, S. P., Buzan, J., Clark, M., Craig, A., Dahlin, K., Drewniak, B.,
Fisher, J. B., Flanner, M., Fox, A. M., Gentine, P., Hoffman, F.,
Keppel-Aleks, G., Knox, R., Kumar, S., Lenaerts, J., Leung, L. R., Lipscomb,
W. H., Lu, Y. Q., Pandey, A., Pelletier, J. D., Perket, J., Randerson, J.
T., Ricciuto, D. M., Sanderson, B. M., Slater, A., Subin, Z. M., Tang, J.
Y., Thomas, R. Q., Martin, M. V., and Zeng, X. B.: The Community Land Model
Version 5: Description of New Features, Benchmarking, and Impact of Forcing
Uncertainty, J. Adv. Model Earth Sy., 11, 4245–4287, https://doi.org/10.1029/2018MS001583, 2019.
Lawrence, P. J. and Chase, T. N.: Representing a new MODIS consistent land
surface in the Community Land Model (CLM 3.0), J. Geophys. Res.-Biogeo.,
112, G01023, https://doi.org/10.1029/2006jg000168, 2007.
Lei, Y., Yue, X., Liao, H., Gong, C., and Zhang, L.: Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions, Geosci. Model Dev., 13, 1137–1153, https://doi.org/10.5194/gmd-13-1137-2020, 2020.
Lin, M. Y., Malyshev, S., Shevliakova, E., Paulot, F., Horowitz, L. W.,
Fares, S., Mikkelsen, T. N., and Zhang, L. M.: Sensitivity of Ozone Dry
Deposition to Ecosystem-Atmosphere Interactions: A Critical Appraisal of
Observations and Simulations, Global Biogeochem. Cy., 33, 1264–1288,
https://doi.org/10.1029/2018gb006157, 2019.
Lin, Y. S., Medlyn, B. E., Duursma, R. A., Prentice, I. C., Wang, H., Baig,
S., Eamus, D., de Dios, V. R., Mitchell, P., Ellsworth, D. S., Op de Beeck,
M., Wallin, G., Uddling, J., Tarvainen, L., Linderson, M. L., Cernusak, L.
A., Nippert, J. B., Ocheltree, T., Tissue, D. T., Martin-St Paul, N. K.,
Rogers, A., Warren, J. M., De Angelis, P., Hikosaka, K., Han, Q. M., Onoda,
Y., Gimeno, T. E., Barton, C. V. M., Bennie, J., Bonal, D., Bosc, A., Low,
M., Macinins-Ng, C., Rey, A., Rowland, L., Setterfield, S. A., Tausz-Posch,
S., Zaragoza-Castells, J., Broadmeadow, M. S. J., Drake, J. E., Freeman, M.,
Ghannoum, O., Hutley, L. B., Kelly, J. W., Kikuzawa, K., Kolari, P., Koyama,
K., Limousin, J. M., Meir, P., da Costa, A. C. L., Mikkelsen, T. N.,
Salinas, N., Sun, W., and Wingate, L.: Optimal stomatal behaviour around the
world, Nat. Clim. Change, 5, 459–464, https://doi.org/10.1038/nclimate2550, 2015.
Liu, X., Tai, A. P., Chen, Y., Zhang, L., Shaddick, G., Yan, X., and Lam, H. M.: Dietary shifts can reduce premature deaths related to particulate matter pollution in China, Nat. Food, 2, 997–1004, https://doi.org/10.1038/s43016-021-00430-6, 2021.
Lombardozzi, D., Levis, S., Bonan, G., Hess, P. G., and Sparks, J. P.: The
influence of chronic ozone exposure on global carbon and water cycle, J.
Climate, 28, 292–305, https://doi.org/10.1175/Jcli-D-14-00223.1, 2015.
Lu, Y. J., Duursma, R. A., and Medlyn, B. E.: Optimal stomatal behaviour
under stochastic rainfall, J. Theor. Biol., 394, 160–171, https://doi.org/10.1016/j.jtbi.2016.01.003, 2016.
Manzoni, S., Vico, G., Katul, G., Fay, P. A., Polley, W., Palmroth, S., and
Porporato, A.: Optimizing stomatal conductance for maximum carbon gain under
water stress: a meta-analysis across plant functional types and climates,
Funct. Ecol., 25, 456–467, https://doi.org/10.1111/j.1365-2435.2010.01822.x, 2011.
Martin, M. V., Heald, C. L., and Arnold, S. R.: Coupling dry deposition to
vegetation phenology in the Community Earth SystemModel: Implications for
the simulation of surface O3, Geophys. Res. Lett., 41, 2988–2996,
https://doi.org/10.1002/2014gl059651, 2014.
Matheny, A. M., Bohrer, G., Stoy, P. C., Baker, I. T., Black, A. T., Desai,
A. R., Dietze, M. C., Gough, C. M., Ivanov, V. Y., Jassal, R. S., Novick, K.
A., Schafer, K. V. R., and Verbeeck, H.: Characterizing the diurnal patterns
of errors in the prediction of evapotranspiration by several land-surface
models: An NACP analysis, J. Geophys. Res.-Biogeo., 119, 1458–1473,
https://doi.org/10.1002/2014jg002623, 2014.
Medlyn, B. E., Duursma, R. A., Eamus, D., Ellsworth, D. S., Prentice, I. C.,
Barton, C. V. M., Crous, K. Y., de Angelis, P., Freeman, M., and Wingate,
L.: Reconciling the optimal and empirical approaches to modelling stomatal
conductance, Global Change Biol., 17, 2134–2144, https://doi.org/10.1111/j.1365-2486.2010.02375.x, 2011.
Medlyn, B. E., De Kauwe, M. G., Lin, Y. S., Knauer, J., Duursma, R. A.,
Williams, C. A., Arneth, A., Clement, R., Isaac, P., Limousin, J. M.,
Linderson, M. L., Meir, P., Martin-StPaul, N., and Wingate, L.: How do leaf
and ecosystem measures of water-use efficiency compare?, New Phytol., 216,
758–770, https://doi.org/10.1111/nph.14626, 2017.
Meyers, T. P., Finkelstein, P., Clarke, J., Ellestad, T. G., and Sims, P.
F.: A multilayer model for inferring dry deposition using standard
meteorological measurements, J. Geophys. Res.-Atmos., 103, 22645–22661,
https://doi.org/10.1029/98jd01564, 1998.
Mikkelsen, T. N., Ro-Poulsen, H., Pilegaard, K., Hovmand, M. F., Jensen, N.
O., Christensen, C. S., and Hummelshoej, P.: Ozone uptake by an evergreen
forest canopy: temporal variation and possible mechanisms, Environ. Pollut.,
109, 423–429, https://doi.org/10.1016/S0269-7491(00)00045-2,
2000.
Miner, G. L., Bauerle, W. L., and Baldocchi, D. D.: Estimating the
sensitivity of stomatal conductance to photosynthesis: A review, Plant Cell
Environ., 40, 1214–1238, 2017.
Misson, L., Panek, J. A., and Goldstein, A. H.: A comparison of three
approaches to modeling leaf gas exchange in annually drought-stressed
ponderosa pine forests, Tree Physiol., 24, 529–541, https://doi.org/10.1093/treephys/24.5.529, 2004.
Monin, A. S., and Obukhov, A. M.: Basic laws of turbulent mixing in the
surface layer of the atmosphere, Contrib. Geophys. Inst. Acad. Sci. USSR,
151, e187, 1954.
Monks, P. S., Archibald, A. T., Colette, A., Cooper, O., Coyle, M., Derwent, R., Fowler, D., Granier, C., Law, K. S., Mills, G. E., Stevenson, D. S., Tarasova, O., Thouret, V., von Schneidemesser, E., Sommariva, R., Wild, O., and Williams, M. L.: Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer, Atmos. Chem. Phys., 15, 8889–8973, https://doi.org/10.5194/acp-15-8889-2015, 2015.
Morgenstern, O., Hegglin, M. I., Rozanov, E., O'Connor, F. M., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Butchart, N., Chipperfield, M. P., Deushi, M., Dhomse, S. S., Garcia, R. R., Hardiman, S. C., Horowitz, L. W., Jöckel, P., Josse, B., Kinnison, D., Lin, M., Mancini, E., Manyin, M. E., Marchand, M., Marécal, V., Michou, M., Oman, L. D., Pitari, G., Plummer, D. A., Revell, L. E., Saint-Martin, D., Schofield, R., Stenke, A., Stone, K., Sudo, K., Tanaka, T. Y., Tilmes, S., Yamashita, Y., Yoshida, K., and Zeng, G.: Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI), Geosci. Model Dev., 10, 639–671, https://doi.org/10.5194/gmd-10-639-2017, 2017.
Niyogi, D., Alapaty, K., Raman, S., and Chen, F.: Development and Evaluation
of a Coupled Photosynthesis-Based Gas Exchange Evapotranspiration Model
(GEM) for Mesoscale Weather Forecasting Applications, J. Appl. Meteorol.
Clim., 48, 349–368, https://doi.org/10.1175/2008JAMC1662.1,
2009.
Niyogi, D. S., Raman, S., and Alapaty, K.: Comparison of four different
stomatal resistance schemes using FIFE data. Part II: Analysis of
terrestrial biospheric-atmospheric interactions, J. Appl. Meteorol., 37,
1301–1320, https://doi.org/10.1175/1520-0450(1998)037<
1301:Cofdsr>2.0.Co;2, 1998.
Nopmongcol, U., Koo, B., Tai, E., Jung, J., Piyachaturawat, P., Emery, C.,
Yarwood, G., Pirovano, G., Mitsakou, C., and Kallos, G.: Modeling Europe
with CAMx for the Air Quality Model Evaluation International Initiative
(AQMEII), Atmos. Environ., 53, 177–185, https://doi.org/10.1016/j.atmosenv.2011.11.023, 2012.
Otu-Larbi, F.: Understanding the role of abiotic stress in
biosphere-atmosphere exchange of reactive trace gases (Doctoral
dissertation), Lancaster University, https://doi.org/10.17635/lancaster/thesis/1345, 2021.
Paschalis, A., Katul, G. G., Fatichi, S., Palmroth, S., and Way, D.: On the
variability of the ecosystem response to elevated atmospheric CO2
across spatial and temporal scales at the Duke Forest FACE experiment, Agr.
Forest Meteorol., 232, 367–383, https://doi.org/10.1016/j.agrformet.2016.09.003, 2017.
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah,
Y.-W., Poindexter, C., Chen, J., Elbashandy, A., Humphrey, M., Isaac,
P., Polidori, D., Reichstein, M., Ribeca, A., van Ingen, C., Vuichard,
N., Zhang, L., Amiro, B., Ammann, C., and Papale, D.: The
FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance
data, Sci. Data, 7, 225, https://doi.org/10.1038/s41597-020-0534-3, 2020.
Pio, C. A., Feliciano, M. S., Vermeulen, A. T., and Sousa, E. C.: Seasonal
variability of ozone dry deposition under southern European climate
conditions, in Portugal, Atmos. Environ., 34, 195–205, https://doi.org/10.1016/S1352-2310(99)00276-9, 2000.
Rannik, Ü., Altimir, N., Mammarella, I., Bäck, J., Rinne, J., Ruuskanen, T. M., Hari, P., Vesala, T., and Kulmala, M.: Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables, Atmos. Chem. Phys., 12, 12165–12182, https://doi.org/10.5194/acp-12-12165-2012, 2012.
Ronan, A. C., Ducker, J. A., Schnell, J. L., and Holmes, C. D.: Have improvements in ozone air quality reduced ozone uptake into plants? Elem. Sci. Anth., 8, 2, https://doi.org/10.1525/elementa.399, 2000.
Rummel, U., Ammann, C., Kirkman, G. A., Moura, M. A. L., Foken, T., Andreae, M. O., and Meixner, F. X.: Seasonal variation of ozone deposition to a tropical rain forest in southwest Amazonia, Atmos. Chem. Phys., 7, 5415–5435, https://doi.org/10.5194/acp-7-5415-2007, 2007.
Sadiq, M., Tai, A. P. K., Lombardozzi, D., and Val Martin, M.: Effects of ozone–vegetation coupling on surface ozone air quality via biogeochemical and meteorological feedbacks, Atmos. Chem. Phys., 17, 3055–3066, https://doi.org/10.5194/acp-17-3055-2017, 2017.
Sanderson, M. G., Collins, W. J., Hemming, D. L., and Betts, R. A.: Stomatal
conductance changes due to increasing carbon dioxide levels: Projected
impact on surface ozone levels, Tellus B, 59, 404–411, https://doi.org/10.1111/j.1600-0889.2007.00277.x, 2007.
Schwede, D., Zhang, L. M., Vet, R., and Lear, G.: An intercomparison of the
deposition models used in the CASTNET and CAPMoN networks, Atmos. Environ.,
45, 1337–1346, https://doi.org/10.1016/j.atmosenv.2010.11.050,
2011.
Sellers, P. J., Randall, D. A., Collatz, G. J., Berry, J. A., Field, C. B.,
Dazlich, D. A., Zhang, C., Collelo, G. D., and Bounoua, L.: A revised land
surface parameterization (SiB2) for atmospheric GCMs, 1. Model formulation,
J. Climate, 9, 676–705, https://doi.org/10.1175/1520-0442(1996)009< 0676:Arlspf>2.0.Co;2, 1996.
Sigler, J. M., Fuentes, J. D., Heitz, R. C., Garstang, M., and Fisch, G.:
Ozone dynamics and deposition processes at a deforested site in the Amazon
Basin, Ambio, 31, 21–27, https://doi.org/10.1579/0044-7447-31.1.21, 2002.
Silva, S. J. and Heald, C. L.: Investigating Dry Deposition of Ozone to
Vegetation, J. Geophys. Res.-Atmos., 123, 559–573, https://doi.org/10.1002/2017JD027278, 2018.
Sitch, S., Cox, P. M., Collins, W. J., and Huntingford, C.: Indirect
radiative forcing of climate change through ozone effects on the land-carbon
sink, Nature, 448, 791–794, https://doi.org/10.1038/nature06059, 2007.
Sperry, J. S., Venturas, M. D., Anderegg, W. R. L., Mencuccini, M., Mackay,
D. S., Wang, Y. J., and Love, D. M.: Predicting stomatal responses to the
environment from the optimization of photosynthetic gain and hydraulic cost,
Plant Cell Environ., 40, 816–830, https://doi.org/10.1111/pce.12852, 2017.
Stevenson, D. S., Dentener, F. J., Schultz, M. G., Ellingsen, K., van Noije,
T. P. C., Wild, O., Zeng, G., Amann, M., Atherton, C. S., Bell, N.,
Bergmann, D. J., Bey, I., Butler, T., Cofala, J., Collins, W. J., Derwent,
R. G., Doherty, R. M., Drevet, J., Eskes, H. J., Fiore, A. M., Gauss, M.,
Hauglustaine, D. A., Horowitz, L. W., Isaksen, I. S. A., Krol, M. C.,
Lamarque, J. F., Lawrence, M. G., Montanaro, V., Muller, J. F., Pitari, G.,
Prather, M. J., Pyle, J. A., Rast, S., Rodriguez, J. M., Sanderson, M. G.,
Savage, N. H., Shindell, D. T., Strahan, S. E., Sudo, K., and Szopa, S.:
Multimodel ensemble simulations of present-day and near-future tropospheric
ozone, J. Geophys. Res.-Atmos., 111, D08301, https://doi.org/10.1029/2005jd006338, 2006.
Stoy, P. C., El-Madany, T. S., Fisher, J. B., Gentine, P., Gerken, T., Good, S. P., Klosterhalfen, A., Liu, S., Miralles, D. G., Perez-Priego, O., Rigden, A. J., Skaggs, T. H., Wohlfahrt, G., Anderson, R. G., Coenders-Gerrits, A. M. J., Jung, M., Maes, W. H., Mammarella, I., Mauder, M., Migliavacca, M., Nelson, J. A., Poyatos, R., Reichstein, M., Scott, R. L., and Wolf, S.: Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities, Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019, 2019.
Szinyei, D., Gelybo, G., Guenther, A. B., Turnipseed, A. A., Toth, E., and
Builtjes, P. J. H.: Evaluation of ozone deposition models over a subalpine
forest in Niwot Ridge, Colorado, Idojaras, 122, 119–143, https://doi.org/10.28974/idojaras.2018.2.2, 2018.
Tai, A. P. K., Mickley, L. J., Heald, C. L., and Wu, S. L.: Effect of
CO2 inhibition on biogenic isoprene emission: Implications for air
quality under 2000 to 2050 changes in climate, vegetation, and land use,
Geophys. Res. Lett., 40, 3479–3483, https://doi.org/10.1002/grl.50650, 2013.
Tai, A. P. K., Sadiq, M., Pang, J. Y. S., Yung, D. H. Y., and Feng, Z.: Impacts of Surface Ozone Pollution on Global Crop Yields: Comparing Different Ozone Exposure Metrics and Incorporating Co-effects of CO2, Front. Sustain. Food Syst., 5, 534616, https://doi.org/10.3389/fsufs.2021.534616, 2021.
Tai, A. P. K., Yung, D. H. Y., Pang, Y. S., and Ma, P. H. L.: amospktai/TEMIR: TEMIR v1.0 Public Release (v1.0), Zenodo [software], https://doi.org/10.5281/zenodo.6380828, 2022.
Tarasick, D., Galbally, I. E., Cooper, O. R., Schultz, M. G., Ancellet, G.,
Leblanc, T., Wallington, T. J., Ziemke, J., Liu, X., Steinbacher, M.,
Staehelin, J., Vigouroux, C., Hannigan, J. W., Garcia, O., Foret, G., Zanis,
P., Weatherhead, E., Petropavlovskikh, I., Worden, H., Osman, M., Liu, J.,
Chang, K.-L., Gaudel, A., Lin, M., Granados-Muñoz, M., Thompson, A. M.,
Oltmans, S. J., Cuesta, J., Dufour, G., Thouret, V., Hassler, B., Trickl,
T., and Neu, J. L.: Tropospheric Ozone Assessment Report: Tropospheric ozone
from 1877 to 2016, observed levels, trends and uncertainties, Elem. Sci.
Anth., 7, 72 pp., https://doi.org/10.1525/elementa.376, 2019.
Travis, K. R. and Jacob, D. J.: Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02, Geosci. Model Dev., 12, 3641–3648, https://doi.org/10.5194/gmd-12-3641-2019, 2019.
Tricker, P. J., Pecchiari, M., Bunn, S. M., Vaccari, F. P., Peressotti, A.,
Miglietta, F., and Taylor, G.: Water use of a bioenergy plantation increases
in a future high CO2 world, Biomass Bioenerg., 33, 200–208, https://doi.org/10.1016/j.biombioe.2008.05.009, 2009.
Uddling, J., Hall, M., Wallin, G., and Karlsson, P. E.: Measuring and
modelling stomatal conductance and photosynthesis in mature birch in Sweden,
Agr. Forest Meteorol., 132, 115–131, https://doi.org/10.1016/j.agrformet.2005.07.004, 2005.
Vingarzan, R.: A review of surface ozone background levels and trends,
Atmos. Environ., 38, 3431–3442, https://doi.org/10.1016/j.atmosenv.2004.03.030, 2004.
Wang, Y. H., Jacob, D. J., and Logan, J. A.: Global simulation of
tropospheric O3-NOx-hydrocarbon chemistry 1. Model formulation, J.
Geophys. Res.-Atmos., 103, 10713–10725, https://doi.org/10.1029/98jd00158, 1998.
Warren, J. M., Norby, R. J., and Wullschleger, S. D.: Elevated CO2
enhances leaf senescence during extreme drought in a temperate forest, Tree
Physiol., 31, 117–130, https://doi.org/10.1093/treephys/tpr002,
2011.
Wesely, M. L.: Parameterization of Surface Resistances to Gaseous Dry
Deposition in Regional-Scale Numerical-Models, Atmos. Environ., 23,
1293–1304, https://doi.org/10.1016/0004-6981(89)90153-4, 1989.
Wesely, M. L. and Hicks, B. B.: A review of the current status of knowledge
on dry deposition, Atmos. Environ., 34, 2261–2282, https://doi.org/10.1016/S1352-2310(99)00467-7, 2000.
Wieder, W. R., Lawrence, D. M., Fisher, R. A., Bonan, G. B., Cheng, S. J.,
Goodale, C. L., Grandy, A. S., Koven, C. D., Lombardozzi, D. L., Oleson, K.
W., and Thomas, R. Q.: Beyond Static Benchmarking: Using Experimental
Manipulations to Evaluate Land Model Assumptions, Global Biogeochem. Cy.,
33, 1289–1309, https://doi.org/10.1029/2018gb006141, 2019.
Wild, O.: Modelling the global tropospheric ozone budget: exploring the variability in current models, Atmos. Chem. Phys., 7, 2643–2660, https://doi.org/10.5194/acp-7-2643-2007, 2007.
Wong, A. Y. H., Geddes, J. A., Tai, A. P. K., and Silva, S. J.: Importance of dry deposition parameterization choice in global simulations of surface ozone, Atmos. Chem. Phys., 19, 14365–14385, https://doi.org/10.5194/acp-19-14365-2019, 2019.
Wu, Z. Y., Wang, X. M., Chen, F., Turnipseed, A. A., Guenther, A. B.,
Niyogi, D., Charusombat, U., Xia, B. C., Munger, J. W., and Alapaty, K.:
Evaluating the calculated dry deposition velocities of reactive nitrogen
oxides and ozone from two community models over a temperate deciduous
forest, Atmos. Environ., 45, 2663–2674, https://doi.org/10.1016/j.atmosenv.2011.02.063, 2011.
Wu, Z. Y., Schwede, D. B., Vet, R., Walker, J. T., Shaw, M., Staebler, R.,
and Zhang, L. M.: Evaluation and Intercomparison of Five North American Dry
Deposition Algorithms at a Mixed Forest Site, J. Adv. Model Earth Sy., 10,
1571–1586, https://doi.org/10.1029/2017ms001231, 2018.
Young, P. J., Naik, V., Fiore, A. M., Gaudel, A., Guo, J., Lin, M. Y., Neu,
J. L., Parrish, D. D., Rieder, H. E., Schnell, J. L., Tilmes, S., Wild, O.,
Zhang, L., Ziemke, J., Brandt, J., Delcloo, A., Doherty, R. M., Geels, C.,
Hegglin, M. I., Hu, L., Im, U., Kumar, R., Luhar, A., Murray, L., Plummer,
D., Rodriguez, J., Saiz-Lopez, A., Schultz, M. G., Woodhouse, M. T., and
Zeng, G.: Tropospheric Ozone Assessment Report: Assessment of global-scale
model performance for global and regional ozone distributions, variability,
and trends, Elem. Sci. Anth., 6, p. 10, https://doi.org/10.1525/elementa.265, 2018.
Yu, S. C., Eder, B., Dennis, R., Chu, S. H., and Schwartz, S. E.: New
unbiased symmetric metrics for evaluation of air quality models, Atmos. Sci.
Lett., 7, 26–34, https://doi.org/10.1002/asl.125, 2006.
Zhang, L., Vet, R., O'Brien, J. M., Mihele, C., Liang, Z., and Wiebe, A.:
Dry deposition of individual nitrogen species at eight Canadian rural sites,
J. Geophys. Res.-Atmos., 114, D02301, https://doi.org/10.1029/2008jd010640, 2009.
Zhang, Q., Manzoni, S., Katul, G., Porporato, A., and Yang, D. W.: The
hysteretic evapotranspiration- Vapor pressure deficit relation, J. Geophys.
Res.-Biogeo., 119, 125–140, https://doi.org/10.1002/2013jg002484, 2014.
Zhao, Y., Zhang, L., Tai, A. P. K., Chen, Y., and Pan, Y.: Responses of surface ozone air quality to anthropogenic nitrogen deposition in the Northern Hemisphere, Atmos. Chem. Phys., 17, 9781–9796, https://doi.org/10.5194/acp-17-9781-2017, 2017.
Zhou, S. S., Tai, A. P. K., Sun, S., Sadiq, M., Heald, C. L., and Geddes, J. A.: Coupling between surface ozone and leaf area index in a chemical transport model: strength of feedback and implications for ozone air quality and vegetation health, Atmos. Chem. Phys., 18, 14133–14148, https://doi.org/10.5194/acp-18-14133-2018, 2018.
Zhu, J., Tai, A. P. K., and Hung Lam Yim, S.: Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model, Atmos. Chem. Phys., 22, 765–782, https://doi.org/10.5194/acp-22-765-2022, 2022.
Zhu, Z. C., Piao, S. L., Myneni, R. B., Huang, M. T., Zeng, Z. Z., Canadell,
J. G., Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., Cao, C. X.,
Cheng, L., Kato, E., Koven, C., Li, Y., Lian, X., Liu, Y. W., Liu, R. G.,
Mao, J. F., Pan, Y. Z., Peng, S. S., Penuelas, J., Poulter, B., Pugh, T. A.
M., Stocker, B. D., Viovy, N., Wang, X. H., Wang, Y. P., Xiao, Z. Q., Yang,
H., Zaehle, S., and Zeng, N.: Greening of the Earth and its drivers, Nat.
Clim. Change, 6, 791, https://doi.org/10.1038/nclimate3004,
2016.
Short summary
We developed and used a terrestrial biosphere model to compare and evaluate widely used empirical dry deposition schemes with different stomatal approaches and found that using photosynthesis-based stomatal approaches can reduce biases in modeled dry deposition velocities in current chemical transport models. Our study shows systematic errors in current dry deposition schemes and the importance of representing plant ecophysiological processes in models under a changing climate.
We developed and used a terrestrial biosphere model to compare and evaluate widely used...
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