globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2567
论文题名:
Positive but variable sensitivity of August surface ozone to large-scale warming in the southeast United States
作者: Tzung-May Fu
刊名: Nature Climate Change
ISSN: 1758-985X
EISSN: 1758-7105
出版年: 2015-03-23
卷: Volume:5, 页码:Pages:454;458 (2015)
语种: 英语
英文关键词: Environmental health ; Atmospheric chemistry ; Atmospheric chemistry
英文摘要:

Surface ozone, a major air pollutant toxic to humans and damaging to ecosystems1, 2, is produced by the oxidation of volatile organic compounds in the presence of nitrogen oxides (NOx = NO + NO2) and sunlight. Climate warming may affect future surface ozone levels3, 4, 5, 6 even in the absence of anthropogenic emission changes, but the direction of ozone change due to climate warming remains uncertain over the southeast US and other polluted forested areas3, 4, 5, 6, 7, 8, 9, 10. Here we use observations and simulations to diagnose the sensitivity of August surface ozone to large-scale temperature variations in the southeast US during 1988–2011. We show that the enhanced biogenic emissions and the accelerated photochemical reaction rates associated with warmer temperatures both act to increase surface ozone. However, the sensitivity of surface ozone to large-scale warming is highly variable on interannual and interdecadal timescales owing to variation in regional ozone advection. Our results have important implications for the prediction and management of future ozone air quality.

Summertime surface ozone production over polluted forested areas is often dominated by the photochemical oxidation of biogenic isoprene (C5H8), whose emission from vegetation is nonlinearly dependent on temperature and sunlight intensity11, and thus highly sensitive to climate warming. Previous climate–chemistry model (CCM) studies predicted surface ozone changes due to climate warming (ΔCWO3) by simulating two climate scenarios—one for a future time slice and one for the present-day—in the absence of anthropogenic emission changes. These predictions showed no consensus on even the sign of ΔCWO3 over polluted forested areas, such as the southeast US (SEUS), western Europe, and parts of East and South Asia3, 4, 5, 6, 7, 8, 9. This lack of consensus has been attributed to the uncertain model assumptions regarding ozone precursor (particularly isoprene) chemistry4, 5, 7, 12, as well as the different predictions of regional climate changes (for example, temperature changes, ΔCWT) across CCMs and for different time horizons5, 7.

In this study, we diagnosed the sensitivity of surface ozone to large-scale temperature variations (hereafter referred to as dO3/dTLS) over the SEUS as a means to understand the response of surface ozone to climate warming (ΔCWO3). Figure 1a shows the August surface temperature over the SEUS (TSEUS) during 1988–2011. There was no significant trend in TSEUS, but oscillated interannually over a range of approximately 3 K. We found that this interannual variation (IAV) of TSEUS was a manifestation of the first empirical orthogonal function (EOF) of the IAV of August surface temperature over the contiguous US during 1988–2011 (Fig. 1a, r2(TSEUS, first EOF) = 0.69). The first EOF of US August temperature was characterized by an oscillation where almost the entire contiguous US is in the same phase (Fig. 1c). Subsequent US August temperature EOFs were of finer spatial scales and not significantly correlated with TSEUS (Fig. 1b, d). Thus, during 1988–2011 and on the interannual timescale, SEUS August surface ozone was perturbed by large-scale temperature variations, which offers a unique opportunity to diagnose dO3/dTLS. In contrast, studies have analysed the sensitivity of SEUS surface ozone to daily temperature variations13, 14, but that more likely reflects the response of ozone to synoptic weather.

Figure 1: SEUS temperature variations on the interannual timescale.
SEUS temperature variations on the interannual timescale.

a,b, The IAV of August surface temperature over the SEUS (TSEUS, green) and time series of the first (a) and second (b) EOFs of US August surface temperature (black) during 1988–2011. The correlations between TSEUS and the EOFs are shown inset. c,d, Spatial patterns of the first (c) and second (d) EOFs. The green box in c is the area where the August surface temperature was averaged to calculate TSEUS.

MERRA data set.

The Modern Era Retrospective-analysis for Research and Applications (MERRA) assimilated meteorological data set is from the NASA Global Modeling and Assimilation Office (http://gmao.gsfc.nasa.gov/research/merra). The native resolution of MERRA is 0.667° longitude × 0.5° latitude with 72 vertical layers. The temporal resolution of MERRA is 3 h for atmospheric variables and 1 h for surface variables.

Observations.

Co-located, hourly surface ozone and temperature measurements are from the Clean Air Status and Trends Network (CASTNET; ref. 30) managed by the US Environmental Protection Agency (http://www.epa.gov/castnet). We selected 20 sites (Supplementary Fig. 1) in the SEUS (90°–76° W, 31°–40° N) that are rural, non-mountainous, not affected by local land–sea breeze, and with at least 18 years worth of valid August mean afternoon (1–5 pm local time) surface ozone and August mean daily maximum temperature measurements during 1988–2011. Interannual anomalies of August mean afternoon ozone concentration (ΔO3) and August mean daily maximum temperature (ΔTmax) at each site were calculated by removing the long-term (1988–2011) means at that site.

Model description.

We used the GEOS-Chem model (v9-01-02, http://geos-chem.org) to simulate global ozone concentrations during 1988–2011. GEOS-Chem is driven by a regridded MERRA data set where the horizontal resolution of the MERRA data was downgraded to 2.5° × 2° and the number of vertical levels of the MERRA data was reduced to 47 levels. We drove the model with year-specific ozone precursor emissions based on best knowledge at present (Supplementary Fig. 3 and Supplementary Information 3). In particular, biogenic volatile organic compounds (VOC) emissions were calculated by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and dependent on temperature, shortwave radiation and monthly leaf area index11. The standard HOx–NOx–VOC–ozone–aerosol chemical mechanism (except the isoprene photochemical cascade) used in GEOS-Chem is as described by ref. 19 with a number of recent updates. We conducted model experiments using two different schemes for the isoprene photochemical cascade. Scheme C1 is as described in ref. 19. Scheme C2 is based on a recent experimental study20. We conducted additional model experiments by progressively removing the IAV of various emission sources and meteorological variables (Supplementary Table 1). We removed the IAV of precursor emissions from a specific source by using fluxes from that source from the year 1998 for all years. Natural emissions were locked to 1998 levels by driving the MEGAN algorithm and the soil NOx emission algorithm with temperature, sunlight and precipitation data from the year 1988. We removed the IAV of a specific meteorological field by using values for that meteorological field from the year 1988 for all years. All model experiments were conducted from January 1988 to August 2011. Results for the month of August were analysed.

Ozone–temperature sensitivity.

The sensitivity of ozone to temperature (m(ΔO3, ΔTmax)) was defined as the slope of the reduced major-axis regression line for ozone anomaly (ΔO3) versus temperature anomaly (ΔTmax) sampled from the neighbouring five years. Correlations, slopes, and standard errors were calculated using the bootstrap technique (resampling 500 times with replacements). Simulated sensitivities were calculated by sampling the model outputs at the locations of CASTNET sites where valid observations were available for that month.

1948–2012 ozone mass flux.

We calculated the net ozone mass flux into the SEUS (93.75° W–76.25° W, 31° N–39° N) boundary layer (surface to 850 hPa) during August 1948–2012 using simulated 1988 ozone concentrations (experiment C2) and assimilated winds from the National Center for Environmental Prediction (NCEP) Reanalysis 1 data set from the National Oceanic and Atmospheric Administration/Earth System Research Laboratory (NOAA/ESRL) (http://www.esrl.noaa.gov/psd). The sensitivity of net ozone mass flux to temperature was defined as the slope of the best-fit line (m(FO3, ΔTSEUS)) of net ozone mass flux (FO3) to the interannual anomaly of August surface temperature over the SEUS (ΔTSEUS, detrended) sampled from the neighbouring 5-year period.

AMO index.

Unsmoothed and detrended monthly AMO indices for 1948–2012 were from the NOAA/ESRL (http://www.esrl.noaa.gov/psd/data/timeseries/AMO).

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    URL: http://www.nature.com/nclimate/journal/v5/n5/full/nclimate2567.html
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    资源类型: 期刊论文
    标识符: http://119.78.100.158/handle/2HF3EXSE/4813
    Appears in Collections:气候变化事实与影响
    科学计划与规划
    气候变化与战略

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    Tzung-May Fu. Positive but variable sensitivity of August surface ozone to large-scale warming in the southeast United States[J]. Nature Climate Change,2015-03-23,Volume:5:Pages:454;458 (2015).
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