[Eoas-seminar] REMINDER: Meteorology MS Defense for Allison Ronan, Wednesday, April 3, 2019, 1:00 PM, LOV353

eoas-seminar at lists.fsu.edu eoas-seminar at lists.fsu.edu
Mon Mar 25 10:07:43 EDT 2019

Meteorology Seminar

Allison Ronan

M.S. Meteorology Candidate


Major Professor:  Dr. Christopher D. Holmes

Date: April 3rd, 2019                                 Time: 1:00 PM

Location: Werner A. Baum Seminar Room (353 Love Building)
(Please join us for refreshments served outside room 353 Love @ 12:30 PM)


Surface ozone (O3) is a toxic air pollutant. In the United States and Europe, among other places, policies and technology have reduced emissions of O3 precursors the last couple decades. As a result, peak levels of O3, quantified by concentration metrics such as maximum daily average over 8 hours (MDA8), the accumulated O3 exposure over a threshold of 40 ppb (AOT40), and W126 have fallen. Influential past studies have assumed that these improvements in AOT40 and W126 imply reductions in plant injury, even though it is widely recognized that O3 flux into leaves is a better predictor of plant at damage than ambient concentration in air. Concentration metrics remain widely used because O3 concentrations measurements are more common and because concentration and flux are correlated when the variability of stomatal conductance is limited. We use a new dataset of O3 flux into plants to quantify decadal trends in the cumulative uptake of O3 (CUO) into leaf stomata for the first time. We examine 32 sites in the United States and Europe over 2005-2014 and find that the AOT40 and W126 concentration metrics decreased at 25 and 28 sites, respectively, whereas CUO increased a majority of sites (18). The divergent trends are due to stomatal control of flux, which is shaped by environmental variability. As a result, there has been no widespread, clear improvement in CUO over 2005-2014 at the sites we can assess. We use several statistical tests to show that temporal trends and variability in CUO are uncorrelated with AOT40, W126, and mean concentration (R2 [cid:image001.png at 01D4E2F2.95B50AE0] 0.15). Decreases in concentration metrics, therefore, give a falsely optimistic picture of the direction and magnitude of O3 impacts on vegetation. Because of this lack of relation between flux and concentration, flux metrics should be preferred over concentration metrics in assessments of plant injury from O3.
GEOS-Chem is a 3-D global atmospheric chemistry model that uses meteorological input to simulate atmospheric composition. We evaluate the model's ability to estimate O3 deposition velocity ([cid:image002.png at 01D4E2F2.95B50AE0]) by running a simulation during the same period as the surface O3 trend analysis. By comparing monthly output of [cid:image002.png at 01D4E2F2.95B50AE0]  from GEOS-Chem to our observations using the SynFlux dataset, we find that GEOS-Chem consistently underestimates [cid:image002.png at 01D4E2F2.95B50AE0] . The degree of the underestimation depends on the land class type as well as the time of year. We attempt to improve the model output by prescribing the land class type within the model to match the plant functional types at the FLUXNET sites. This did not lead to a significant improvement and in many cases, this led to a wider gap between the model and observations. We discuss possible reasons for the discrepancy between the model and observations. Improving [cid:image002.png at 01D4E2F2.95B50AE0]  in the model would better estimate dry deposition of O3, which is important for simulating air quality and its impacts to humans and plants.

Shel McGuire
Florida State University
Academic Program Specialist
Department of Earth, Ocean, & Atmospheric Science
1017 Academic Way, 410 Love Building (Meteorology)
Tallahassee, FL 32306

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