23 research outputs found

    Climate controls on air quality in the Northeastern U.S.: An examination of summertime ozone statistics during 1993-2012

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    The goal of this study is to better understand the linkages between the climate system and surface-level ozone concentrations in the Northeastern U.S. We focus on the regularity of observed high ozone concentrations between May 15 and August 30 during the 1993-2012 period. The first portion of this study establishes relationships between ozone and meteorological predictors. The second examines the linkages between ozone and large-scale teleconnections within the climate system. Statistical models for each station are constructed using a combination of Correlation Analysis, Principal Components Analysis and Multiple Linear Regression. In general, the strongest meteorological predictors of ozone are the frequency of high temperatures and precipitation and the amount of solar radiation flux. Statistical models of meteorological variables explain about 60-75% of the variability in the annual ozone time series, and have typical error-to-variability ratios of 0.50-0.65. Teleconnection patterns such as the Arctic Oscillation, Quasi-Biennial Oscillation and Pacific Decadal Oscillation are best linked to ozone in the region. Statistical models of these patterns explain 40-60% of the variability in the ozone annual time series, and have a typical error-to-variability ratio of 0.60-0.75

    Surface and lightning sources of nitrogen oxides over the United States: Magnitudes, chemical evolution, and outflow

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    We use observations from two aircraft during the ICARTT campaign over the eastern United States and North Atlantic during summer 2004, interpreted with a global 3-D model of tropospheric chemistry (GEOS-Chem) to test current understanding of regional sources, chemical evolution, and export of NOx. The boundary layer NOx data provide top-down verification of a 50% decrease in power plant and industry NOx emissions over the eastern United States between 1999 and 2004. Observed NOx concentrations at 8–12 km altitude were 0.55 ± 0.36 ppbv, much larger than in previous U.S. aircraft campaigns (ELCHEM, SUCCESS, SONEX) though consistent with data from the NOXAR program aboard commercial aircraft. We show that regional lightning is the dominant source of this upper tropospheric NOx and increases upper tropospheric ozone by 10 ppbv. Simulating ICARTT upper tropospheric NOx observations with GEOS-Chem requires a factor of 4 increase in modeled NOx yield per flash (to 500 mol/ flash). Observed OH concentrations were a factor of 2 lower than can be explained from current photochemical models, for reasons that are unclear. A NOy-CO correlation analysis of the fraction f of North American NOx emissions vented to the free troposphere as NOy (sum of NOx and its oxidation products) shows observed f = 16 ± 10% and modeled f = 14 ± 9%, consistent with previous studies. Export to the lower free troposphere is mostly HNO3 but at higher altitudes is mostly PAN. The model successfully simulates NOy export efficiency and speciation, supporting previous model estimates of a large U.S. anthropogenic contribution to global tropospheric ozone through PAN export

    Effective Diffusivity in Baroclinic Flow

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    Large-scale chaotic stirring stretches tracer contours into filaments containing fine spatial scales until small-scale diffusive processes dissipate tracer variance. Quantification of tracer transport in such circumstances is possible through the use of Nakamura’s “effective diffusivity” diagnostics, which make clear the controlling role of stirring, rather than small-scale dissipation, in large-scale transport. Existing theory of effective diffusivity is based on a layerwise approach, in which tracer variance is presumed to cascade via horizontal (or isentropic) stirring to small-scale horizontal (or isentropic) diffusion. In most geophysical flows of interest, however, baroclinic shear will tilt stirred filamentary structures into almost-horizontal sheets, in which case the thinnest dimension is vertical; accordingly, it will be vertical (or diabatic) diffusion that provides the ultimate dissipation of variance. Here new theoretical developments define effective diffusivity in such flows. In the frequently relevant case of isentropic stirring, it is shown that the theory is, in most respects, unchanged from the case of isentropic diffusion: effective isentropic diffusivity is controlled by the isentropic stirring and, it is argued, largely independent of the nature of the ultimate dissipation. Diabatic diffusion is not amplified by the stirring, although it can be modestly enhanced through eddy modulation of static stability. These characteristics are illustrated in numerical simulations of a stratospheric flow; in regions of strong stirring, the theoretical predictions are well supported, but agreement is less good where stirring is weaker.National Science Foundation (U.S.) (Grant ATM-0852384

    Source-receptor relationships for atmospheric mercury deposition in the context of global change

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    There have been growing concerns about mercury pollution in the global environment and better understanding of the source-receptor relationships for mercury deposition in the context of global change is greatly needed. We use a global 3-D chemical transport model (GEOS-Chem) to examine the source-receptor relationships between various regions as well as the impacts from changes in anthropogenic emissions, climate, land use and land cover. Through an extensive set of sensitivity simulations, we quantify the relative contributions from various sources (such as domestic vs. foreign anthropogenic sources; anthropogenic vs. natural sources) to total mercury deposition in specific receptor regions (East Asia, South Asia, Europe, North America, and the Laurentian Great Lakes). Under the 2050 A1B emission scenario (the higher emission scenario with fast economic growth and balanced emphasis on all energy sources), the relative contributions from anthropogenic emissions to total mercury deposition for each receptor region are calculated to increase in general, while the relative contributions from ocean and terrestrial sources are found to decrease. On the other hand, with the 2050 B1 emission scenario (the lower emission scenario with rapid introduction of clean energy and resource-efficient technologies), we find the changes in the relative contributions from anthropogenic emissions show different signs over different regions, reflecting the divergent trends in future anthropogenic emissions (notably, emissions increase in South Asia and decrease in East Asia). Compared to the impacts of anthropogenic emissions on the source-receptor relationships of mercury deposition, the impacts from changes in climate and land use/land cover are generally smaller in magnitudes but show stronger spatial variations

    Air Quality and Climate Connections

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    <div><p>Multiple linkages connect air quality and climate change. Many air pollutant sources also emit carbon dioxide (CO<sub>2</sub>), the dominant anthropogenic greenhouse gas (GHG). The two main contributors to non-attainment of U.S. ambient air quality standards, ozone (O<sub>3</sub>) and particulate matter (PM), interact with radiation, forcing climate change. PM warms by absorbing sunlight (e.g., black carbon) or cools by scattering sunlight (e.g., sulfates) and interacts with clouds; these radiative and microphysical interactions can induce changes in precipitation and regional circulation patterns. Climate change is expected to degrade air quality in many polluted regions by changing air pollution meteorology (ventilation and dilution), precipitation and other removal processes, and by triggering some amplifying responses in atmospheric chemistry and in anthropogenic and natural sources. Together, these processes shape distributions and extreme episodes of O<sub>3</sub> and PM. Global modeling indicates that as air pollution programs reduce SO<sub>2</sub> to meet health and other air quality goals, near-term warming accelerates due to “unmasking” of warming induced by rising CO<sub>2</sub>. Air pollutant controls on CH<sub>4</sub>, a potent GHG and precursor to global O<sub>3</sub> levels, and on sources with high black carbon (BC) to organic carbon (OC) ratios could offset near-term warming induced by SO<sub>2</sub> emission reductions, while reducing global background O<sub>3</sub> and regionally high levels of PM. Lowering peak warming requires decreasing atmospheric CO<sub>2</sub>, which for some source categories would also reduce co-emitted air pollutants or their precursors. Model projections for alternative climate and air quality scenarios indicate a wide range for U.S. surface O<sub>3</sub> and fine PM, although regional projections may be confounded by interannual to decadal natural climate variability. Continued implementation of U.S. NO<sub>x</sub> emission controls guards against rising pollution levels triggered either by climate change or by global emission growth. Improved accuracy and trends in emission inventories are critical for accountability analyses of historical and projected air pollution and climate mitigation policies.</p><p>Implications: <i>The expansion of U.S. air pollution policy to protect climate provides an opportunity for joint mitigation, with CH<sub>4</sub> a prime target. BC reductions in developing nations would lower the global health burden, and for BC-rich sources (e.g., diesel) may lessen warming. Controls on these emissions could offset near-term warming induced by health-motivated reductions of sulfate (cooling). Wildfires, dust, and other natural PM and O<sub>3</sub> sources may increase with climate warming, posing challenges to implementing and attaining air quality standards. Accountability analyses for recent and projected air pollution and climate control strategies should underpin estimated benefits and trade-offs of future policies.</i></p></div
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