1,341 research outputs found
Tropical transport and the seasonal variability of the subtropical "edges" in the stratosphere
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, February 2001.Includes bibliographical references (p. 214-223).The chemistry of the stratosphere, in particular the balance between ozone production and loss, is very sensitive to transport into and out of the tropical stratosphere. There is a great deal of evidence that tropical air remains relatively isolated from extratropical air over timescales that are long compared to typical midlatitude mixing timescales. However, there are significant questions regarding the extent to which the tropics may be considered isolated, the mechanisms and variability of this isolation, and the implications of tropical isolation for global-scale transport. We address some of these issues using three very different tools: a simple model of stratospheric transport, which allows us to investigate the role of tropical transport in determining global transport timescales, satellite observations of long-lived tracers, which allow us to diagnose the seasonal variability of the tracer gradients that mark the transition between tropical and extratropical air, and a shallow water model, which allows us to investigate the mechanisms of tropical isolation in the simplest relevant dynamical framework. We first discuss the characteristics of analytical solutions for the mean age of air, a measure of the mean timescale for transport by large-scale processes in the stratosphere, in a simple, one-dimensional conceptual model of stratospheric transport. In this "leaky pipe" model, the stratosphere is divided into three regions: the tropics and the Northern and Southern extratropics. We examine the dependence of the mean age on advection, diffusive mixing, and quasi-horizontal transport between the tropics and the extratropics. This work provides insight into the role of the tropics in global chemical transport under the assumption of at least some degree of tropical isolation. We next examine the seasonal variability of the subtropical tracer gradients which mark the transition between tropical and extratropical air from both a diagnostic and a mechanistic standpoint. We use probability distribution functions of satellite measurements of long-lived tracers to define the transition regions, which are commonly called the subtropical "edges". We examine six and a half years of measurements and identify the central latitude, and in some cases the area, of these edges at eight pressure levels on quasi-monthly timescales. We compare the seasonal variability of the subtropical edges to the variability in several transport parameters and thus increase our understanding of the mechanisms of tropical isolation from a diagnostic standpoint. We then use a shallow water model, which represents many of the properties of the flow between two isentropic surfaces, to examine the mechanisms of the formation of the subtropical edges during each season. We include the effects of diabatic heating and cooling as well as planetary-scale wave propagation and examine the role of these processes in the formation of potential vorticity gradients that behave in much the same way as the observed subtropical tracer gradients. Our results indicate that the winter subtropical edge marks a mixing barrier. The rapid stirring in the winter hemisphere that results from planetary-scale wave breaking is generally confined to the midlatitudes, and the strong tracer and potential vorticity gradients in the winter subtropics likely result from "stripping" processes, as filaments of material are occasionally pulled out of the tropics by this mid-latitude stirring. The summer subtropical edge, however, does not mark a mixing barrier in the middle and upper stratosphere. Rather, it is likely that the strong subtropical tracer and potential vorticity gradients in the summer hemisphere result purely from the action of the residual circulation, which tends to increase potential vorticity and tracer values in the tropics and decrease them at high latitudes (for tracers with tropospheric sources and photochemical sinks) over the course of the summer. We show that the seasonal variability of the edges can, in some cases, contribute significantly to the mass budgets in simple "leaky pipe"-type models, but find that it is difficult to assess the role of this seasonal variability in tracer transport.by Jessica L. Neu.Ph.D
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Impacts of global NOx inversions on NO2 and ozone simulations
Tropospheric NO2 and ozone simulations have large uncertainties, but their biases, seasonality, and trends can be improved with NO2 assimilations. We perform global top-down estimates of monthly NOx emissions using two Ozone Monitoring Instrument (OMI) NO2 retrievals (NASAv3 and DOMINOv2) from 2005 to 2016 through a hybrid 4D-Var/mass balance inversion. Discrepancy in NO2 retrieval products is a major source of uncertainties in the top-down NOx emission estimates. The different vertical sensitivities in the two NO2 retrievals affect both magnitude and seasonal variations of top-down NOx emissions. The 12-year averages of regional NOx budgets from the NASA posterior emissions are 37 % to 53 % smaller than the DOMINO posterior emissions. Consequently, the DOMINO posterior surface NO2 simulations greatly reduced the negative biases in China (by 15 %) and the US (by 22 %) compared to surface NO2 measurements. Posterior NOx emissions show consistent trends over China, the US, India, and Mexico constrained by the two retrievals. Emission trends are less robust over South America, Australia, western Europe, and Africa, where the two retrievals show less consistency. NO2 trends have more consistent decreases (by 26 %) with the measurements (by 32 %) in the US from 2006 to 2016 when using the NASA posterior emissions. The performance of posterior ozone simulations has spatial heterogeneities from region to region. On a global scale, ozone simulations using NASA-based emissions alleviate the double peak in the prior simulation of global ozone seasonality. The higher abundances of NO2 from the DOMINO posterior simulations increase the global background ozone concentrations and therefore reduce the negative biases more than the NASA posterior simulations using GEOS-Chem v12 at remote sites. Compared to surface ozone measurements, posterior simulations have more consistent magnitude and interannual variations than the prior estimates, but the performance from the NASA-based and DOMINO-based emissions varies across ozone metrics. The limited availability of remote-sensing data and the use of prior NOx diurnal variations hinder improvement of ozone diurnal variations from the assimilation, and therefore have mixed performance on improving different ozone metrics. Additional improvements in posterior NO2 and ozone simulations require more precise and consistent NO2 retrieval products, more accurate diurnal variations of NOx and VOC emissions, and improved simulations of ozone chemistry and depositions.
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The strength of the meridional overturning circulation of the stratosphere.
The distribution of gases such as ozone and water vapour in the stratosphere - which affect surface climate - is influenced by the meridional overturning of mass in the stratosphere, the Brewer-Dobson circulation. However, observation-based estimates of its global strength are difficult to obtain. Here we present two calculations of the mean strength of the meridional overturning of the stratosphere. We analyze satellite data that document the global diabatic circulation between 2007- 2011, and compare these to three re-analysis data sets and to simulations with a state-of-the-art chemistry-climate model. Using measurements of sulfur hexafluoride (SF6) and nitrous oxide, we calculate the global mean diabatic overturning mass flux throughout the stratosphere. In the lower stratosphere, these two estimates agree, and at a potential temperature level of 460 K (about 20 km or 60 hPa in tropics), the global circulation strength is 6.3-7.6 × 109 kg/s. Higher in the atmosphere, only the SF6-based estimate is available, and it diverges from the re-analysis data and simulations. Interpretation of the SF6 data-based estimate is limited because of a mesospheric sink of SF6; however, the reanalyses also differ substantially from each other. We conclude that the uncertainty in the mean meridional overturning circulation strength at upper levels of the stratosphere amounts to at least 100 %
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Modeling Study of the Air Quality Impact of Record-Breaking Southern California Wildfires in December 2017
We investigate the air quality impact of record‐breaking wildfires in Southern California during 5–18 December 2017 using the Weather Research and Forecasting model with Chemistry in combination with satellite and surface observations. This wildfire event was driven by dry and strong offshore Santa Ana winds, which played a critical role in fire formation and air pollutant transport. By utilizing fire emissions derived from the high‐resolution (375 × 375 m²) Visible Infrared Imaging Radiometer Suite active fire detections, the simulated magnitude and temporal evolution of fine particulate matter (PM_(2.5)) concentrations agree reasonably well with surface observations (normalized mean bias = 4.0%). Meanwhile, the model could generally capture the spatial pattern of aerosol optical depth from satellite observations. Sensitivity tests reveal that using a high spatial resolution for fire emissions and a reasonable treatment of plume rise (a fair split between emissions injected at surface and those lifted to upper levels) is important for achieving decent PM_(2.5) simulation results. Biases in PM_(2.5) simulation are relatively large (about 50%) during the period with the strongest Santa Ana wind, due to a possible underestimation of burning area and uncertainty in wind field variation. The 2017 December fire event increases the 14‐day averaged PM_(2.5) concentrations by up to 231.2 μg/m³ over the downwind regions, which substantially exceeds the U.S. air quality standards, potentially leading to adverse health impacts. The human exposure to fire‐induced PM_(2.5) accounts for 14–42% of the annual total PM_(2.5) exposure in areas impacted by the fire plumes
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Tropospheric Ozone Assessment Report: assessment of global-scale model performance for global and regional ozone distributions, variability, and trends
The goal of the Tropospheric Ozone Assessment Report (TOAR) is to provide the research community with an up-to-date scientific assessment of tropospheric ozone, from the surface to the tropopause. While a suite of observations provides significant information on the spatial and temporal distribution of tropospheric ozone, observational gaps make it necessary to use global atmospheric chemistry models to synthesize our understanding of the processes and variables that control tropospheric ozone abundance and its variability. Models facilitate the interpretation of the observations and allow us to make projections of future tropospheric ozone and trace gas distributions for different anthropogenic or natural perturbations. This paper assesses the skill of current-generation global atmospheric chemistry models in simulating the observed present-day tropospheric ozone distribution, variability, and trends. Drawing upon the results of recent international multi-model intercomparisons and using a range of model evaluation techniques, we demonstrate that global chemistry models are broadly skillful in capturing the spatio-temporal variations of tropospheric ozone over the seasonal cycle, for extreme pollution episodes, and changes over interannual to decadal periods. However, models are consistently biased high in the northern hemisphere and biased low in the southern hemisphere, throughout the depth of the troposphere, and are unable to replicate particular metrics that define the longer term trends in tropospheric ozone as derived from some background sites. When the models compare unfavorably against observations, we discuss the potential causes of model biases and propose directions for future developments, including improved evaluations that may be able to better diagnose the root cause of the model-observation disparity. Overall, model results should be approached critically, including determining whether the model performance is acceptable for the problem being addressed, whether biases can be tolerated or corrected, whether the model is appropriately constituted, and whether there is a way to satisfactorily quantify the uncertainty
Airships: A New Horizon for Science
The "Airships: A New Horizon for Science" study at the Keck Institute for
Space Studies investigated the potential of a variety of airships currently
operable or under development to serve as observatories and science
instrumentation platforms for a range of space, atmospheric, and Earth science.
The participants represent a diverse cross-section of the aerospace sector,
NASA, and academia. Over the last two decades, there has been wide interest in
developing a high altitude, stratospheric lighter-than-air (LTA) airship that
could maneuver and remain in a desired geographic position (i.e.,
"station-keeping") for weeks, months or even years. Our study found
considerable scientific value in both low altitude (< 40 kft) and high altitude
(> 60 kft) airships across a wide spectrum of space, atmospheric, and Earth
science programs. Over the course of the study period, we identified
stratospheric tethered aerostats as a viable alternative to airships where
station-keeping was valued over maneuverability. By opening up the sky and
Earth's stratospheric horizon in affordable ways with long-term flexibility,
airships allow us to push technology and science forward in a project-rich
environment that complements existing space observatories as well as aircraft
and high-altitude balloon missions.Comment: This low resolution version of the report is 8.6 MB. For the high
resolution version see: http://kiss.caltech.edu/study/airship
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Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders
The Stratosphere-troposphere Processes and their Role in Climate (SPARC) Data Initiative (SPARC, 2017) performed the first comprehensive assessment of currently available stratospheric composition measurements obtained from an international suite of space-based limb sounders. The initiative's main objectives were (1) to assess the state of data availability, (2) to compile time series of vertically resolved, zonal monthly mean trace gas and aerosol fields, and (3) to perform a detailed intercomparison of these time series, summarizing useful information and highlighting differences among datasets. The datasets extend over the region from the upper troposphere to the lower mesosphere (300–0.1 hPa) and are provided on a common latitude–pressure grid. They cover 26 different atmospheric constituents including the stratospheric trace gases of primary interest, ozone (O3) and water vapor (H2O), major long-lived trace gases (SF6, N2O, HF, CCl3F, CCl2F2, NOy), trace gases with intermediate lifetimes (HCl, CH4, CO, HNO3), and shorter-lived trace gases important to stratospheric chemistry including nitrogen-containing species (NO, NO2, NOx, N2O5, HNO4), halogens (BrO, ClO, ClONO2, HOCl), and other minor species (OH, HO2, CH2O, CH3CN), and aerosol. This overview of the SPARC Data Initiative introduces the updated versions of the SPARC Data Initiative time series for the extended time period 1979–2018 and provides information on the satellite instruments included in the assessment: LIMS, SAGE I/II/III, HALOE, UARS-MLS, POAM II/III, OSIRIS, SMR, MIPAS, GOMOS, SCIAMACHY, ACE-FTS, ACE-MAESTRO, Aura-MLS, HIRDLS, SMILES, and OMPS-LP. It describes the Data Initiative's top-down climatological validation approach to compare stratospheric composition measurements based on zonal monthly mean fields, which provides upper bounds to relative inter-instrument biases and an assessment of how well the instruments are able to capture geophysical features of the stratosphere. An update to previously published evaluations of O3 and H2O monthly mean time series is provided. In addition, example trace gas evaluations of methane (CH4), carbon monoxide (CO), a set of nitrogen species (NO, NO2, and HNO3), the reactive nitrogen family (NOy), and hydroperoxyl (HO2) are presented. The results highlight the quality, strengths and weaknesses, and representativeness of the different datasets. As a summary, the current state of our knowledge of stratospheric composition and variability is provided based on the overall consistency between the datasets. As such, the SPARC Data Initiative datasets and evaluations can serve as an atlas or reference of stratospheric composition and variability during the “golden age” of atmospheric limb sounding. The updated SPARC Data Initiative zonal monthly mean time series for each instrument are publicly available and accessible via the Zenodo data archive (Hegglin et al., 2020)
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