Earth Systems

Abstract: Contrails are estimated to be the largest contributor to aviation’s net climate impacts. Avoiding the production of contrails by rerouting aircraft around contrail forming regions could reduce this impact without needing the development of new technologies, and at the cost of a marginal fuel-burn increase.

Model- or observation-based contrail avoidance strategies require the prediction of contrail forming regions to be accurate at the scale of individual flights. Robust contrail detections methods are necessary both for observation-based forecasts and for improving model-based approaches. However, current approaches for contrail detection are often inconsistent from minute to minute, resulting in inconsistent forecasts of contrail formation which are difficult for aircraft to work around.

We resolve this issue by applying an ensemble Kalman filtering (EnKF) approach with an existing deep-learning contrail detection framework which identifies contrail pixels on geostationary satellite imagery. The EnKF increases the robustness of the detections by representing the temporal correlation between consecutive detections, thereby enabling consistent identification of contrail forming regions.

We evaluate the performance of the EnKF against a hand-labeled dataset of over 70 contrails tracked over a two-hour period. On average, we find that after filtering, we increase both the number of contrail pixels recovered on an image, and the number of pixels correctly predicted as contrail pixels. By adding temporal correlations, we successfully increase the duration over which a given contrail is detected consistently. The improved robustness of the contrail detections enables more consistent observation-based contrail forecasting, as well as the tracking of individual contrails. These tracks are used to derive the evolution of contrail properties such as lifetime at the individual scale. This will allow for direct comparisons between contrail models and observational data.

Abstract

Contrails are the line-shaped clouds that form due to mixing of the aircraft engine exhaust with ambient air, which may persist for several hours in suitable atmospheric conditions. The climate impact of these persistent contrails is currently estimated to be larger than that due to aviation emitted CO2. A potential near-term and low-cost mitigation of these impacts would be possible through contrail avoidance, which involves re-routing aircraft around ice supersaturated regions. Current forecasting methods for ice supersaturation have been found to be inaccurate when compared to in-situ measurements. In order to enable comparison between persistent contrail observations and forecast data, we develop a contrail height estimation algorithm to augment the results of an existing contrail detection method using GOES-16 ABI data. The height estimation technique uses a convolutional neural network that is trained using a dataset of 3214 contrails collocated with CALIOP LIDAR data. The algorithm outputs a probability density function rather than a single number, to capture predictive uncertainty. The final algorithm achieves a root mean square error (RMSE) of 570 meters. The height estimation approach is applied in multiple case studies in order to illustrate its performance.

Plain-language Summary

Contrails are the line-shaped clouds that form behind aircraft. Under certain conditions, these artificial clouds can persist for multiple hours and have a significant climate impact. Observational data of contrails can help us better understand and mitigate these harmful impacts. Existing methods for locating contrails on satellite images only provide information on the horizontal location of the contrail. We have created a method that, by only using satellite images, can also estimate the height of these contrails. Such estimates of the vertical location of these contrails will improve comparisons between models and observed data. Contrail height estimates can also be used for re-routing aircraft around existing contrail forming regions, which may mitigate a large portion of contrail climate impact.

Abstract: Contrail cirrus – ice clouds forming in aircraft exhaust - are estimated to account for 2% of global anthropogenic climate impact from all sources. Understanding how contrail impacts are affected by changes in aircraft technology and aviation practices, such as the timing and location of flights, is essential for developing effective mitigation strategies but relevant information is limited. Furthermore, investigations of contrail impacts have almost exclusively focused on single years, with no single consistent study of how contrail impacts have changed over time. This has made it difficult to interpret differences in impacts between studies of different years.

In this study, we investigate how the radiative forcing (climate impact) of contrails has evolved from 1980 to 2019. We simulate contrails sampled from an inventory of this period using the Aircraft Plume Chemistry, Emissions, and Microphysics Model (APCEMM). This model captures the dynamics of contrail formation, coagulation of solid and liquid particles, particle settling, and particle growth and evaporation. We use ERA5 reanalysis data to estimate prevailing atmospheric conditions and analyze results with particular emphasis on annual changes in the location, timing, and composition of emissions.

We find that, from 1980 to 2019, total contrail impacts have increased but the impact per unit of contrail distance has decreased. This is due to a combination of technological and policy factors. We discuss how falling soot emissions appear to have reduced contrail optical depth but not lifetime while increasing flight coverage over Europe has a greater impact than the increases over Asia. However, we also find that trends in these impacts are highly sensitive to the criteria used to determine whether a contrail is likely to have evaporated.

This work implies that differences between prior studies of contrail properties may be driven in large part by differences in contrail inventory. Our work also suggests that a small number of additional factors should be considered alongside total flight distance to understand how future changes in aviation are likely to affect its climate impacts.

Abstract: Stratospheric circulation and dynamics significantly influence particle transport in the stratosphere. Several studies have observed zonal asymmetry in the Brewer-Dobson circulation, which can cause zonal asymmetry of particle transport in the stratosphere. In this study, we use a Lagrangian trajectory model (i.e., LAGRANTO) to simulate the transport of particles from stratospheric aerosol injection (SAI), driven by the ERA5 wind field. The LAGRANTO model can track each injected particle from the initial injection location to the tropospheric sink locations at the tropopause (i.e., where injected particles exit the stratosphere into the troposphere). By analyzing the simulating results, we:

(1) explore how the background circulation influences the transport of injected particles in the stratosphere. For example, wavelet transform calculation shows that the steady-state number of particles in the stratosphere has a significant period of approximate 2 years, indicating the modulation from QBO.

(2) find particles injected at different longitudes in the lower tropical stratosphere (e.g., 18 km) show different transport pathways due to the zonal asymmetry of meridional wind. This indicates that the injection longitude can be important for the SAI injection strategies.

(3) identify the tropospheric sink locations of injected particles, which can help us better estimate the local air pollution caused by SAI. The sink locations, mainly located in the mid-latitudes, also show zonal asymmetry. These dominant sink locations (e.g., over Asian areas in DJF) are influenced by tropopause folding, which happens beneath the subtropical jet stream and transports air mass from the stratosphere into the troposphere.

Abstract: With renewed interest in commercial supersonic transport (SST) aircraft due to increased demand for air travel, the environmental impacts on ozone and climate from proposed supersonic fleets need to be analyzed. In this study we have examined two such proposed fleets developed by MIT, flying at Mach 1.6 with a cruise ceiling at 17 km and representing either high or low economic growth. The high scenario burns 43.1 Tg of fuel with 0.39 Tg NOx and 0.14 Tg BC emission whereas the numbers for the low scenario are 9.6 Tg, 0.008 Tg and 0.03 Tg respectively. The UIUC analyses was done using the global climate chemistry model CESM2 – WACCM6 with model top ~140km with comprehensive troposphere-stratosphere-mesosphere-lower-thermosphere chemistry at a horizontal resolution of 0.9o×1.25o, and 70 vertical levels, compared to the GEOS-Chem simulation done by the MIT group. Our presentation will also include a comparison of the UIUC and MIT findings. The UIUC study indicates a global ozone column reduction by 0.33% and 0.06% respectively for the high and low scenarios, which can be attributed to the NOx emissions. For both the scenarios, the maximum ozone loss in Northern Hemisphere (NH) occurs during the summer and early fall (June-October), and during late fall (April-May) in the Southern Hemisphere (SH). Although fraction of SST emission is lower in SH compared to NH, atmospheric transport results in significant ozone loss in SH too. Although CO2, SO2, and soot emissions contribute to climate impacts, we find that the largest impacts are likely due to stratospheric ozone and water vapor perturbations. The UIUC net non-CO2, non-contrail stratospheric-adjusted radiative forcing (climate impact) from the high and the low scenario was 14.7 mW/mand 4.26 mW/m2 respectively, indicating an overall warming effect of the order of 10% of that from modern subsonic aviation which grows non-linearly with fleet size.


 


 

    Abstract: Unregulated very short-lived halogenated substances (VSLSs) are playing an increasingly important role in global stratospheric ozone depletion as emissions of long-lived ozone-depleting substances such as chlorofluorocarbons (CFCs) and hydrochlorofluorocarbons (HCFCs) decline due to the controls of the Montreal Protocol on Substances that Deplete the Ozone Layer. The impacts of VSLSs on the stratospheric ozone layer could be more significant when their emissions are from regions with strong convective pathways from the surface to the stratosphere, such as occur in East and South Asia, compared to other regions.

    Dichloromethane (CH2Cl2) and chloroform (CHCl3) are the two most abundant chlorine containing VSLSs, whose global emissions have increased substantially in the last two decades. In this study, the emissions of CH2Cl2 and CHCl3 over 2011-2020 in China were derived by atmospheric measurements and a “top-down” inverse modelling method. Emissions of CH2Cl2 from China increased substantially throughout the period, while emissions of CHCl3 increased through 2017 and then decreased afterwards. The derived distributions of emissions of both substances in China are consistent with anthropogenic origins, which can also be validated by the “bottom-up” inventories compiled in this study. The inter-annual variations of emissions in China of the two substances can explain nearly the entire global emission changes of each substance, indicating the dominant role of China in driving global emission changes.

    Abstract: Halogenated greenhouse gases (such as HCFCs, HFCs, PFCs, and SF6) have global warming potentials thousands to tens of thousands of times greater than carbon dioxide on a per kilogram basis. Estimating the emissions of these gases on a global scale is challenging since direct measurements are unavailable. Instead, they are inferred using measured global atmospheric concentrations and knowledge of their lifetimes. The ocean uptake for halogenated species can impact their lifetimes, but this process has been assumed to be largely negligible in the past. Further, reaction with hydroxyl radicals (OH) is a major atmospheric loss pathway for HCFCs and HFCs. Emission estimations usually assume OH is constant over time, but recent chemistry-climate models suggest OH increased after 1980, implying underestimated emissions. Here, we use a coupled atmosphere-ocean model to explore how the inferred lifetimes and emissions of certain HCFCs, HFCs, PFCs, and SF6 can be affected by ocean processes and time-varying OH. We show that by including the ocean uptake, the lifetimes are shortened by 2 – 15% for HCFCs and HFCs, and 20 – 40% for PFC-14 and SF6. Certain HCFCs and HFCs can be further destroyed in the ocean due to microbial activity; this could lead to up to an another 8 – 25% decrease in their lifetimes. We also show that increases in modeled OH imply an additional underestimation in HCFC and HFC emissions by ~10% near their respective peak emissions. These species are considered under the Montreal Protocol and its amendments and the Paris Agreement. Evaluating the success of these global agreements requires accurate knowledge of contributions to global warming from these gases and consideration of these processes.

    Abstract: The Advanced Global Atmospheric Gases Experiment (AGAGE) program and the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) maintain some of the longest measurement records of the atmospheric abundances of ozone-depleting substances (ODSs) and their substitutes, many of which are strong greenhouse gases (GHGs). Several records extend back more than 40 years, and fittingly, Walt Komhyr was involved in the early halocarbon measurements at NOAA in the mid-1970s. For the past 20+ years, comparisons of ozone-depleting substances and non-CO2 greenhouse gas measurements have been carried out and reviewed by project participants for more than 45 species twice yearly. AGAGE and NOAA carry out measurements at six common sites: Cape Grim, Australia; Cape Matatula, American Samoa; Ragged Point, Barbados; Trinidad Head, USA; Mace Head, Ireland; and Zeppelin, Norway. Cylinders containing compressed air have also been exchanged for measurement in our central laboratories. Such ongoing comparisons serve to establish calibration scale relationships, as well as any offsets that may occur during sampling and/or measurement, that can be used to convert NOAA data to AGAGE data, or vice versa, to combine the records for joint modeling studies. These ongoing comparisons aid the quality control for both networks, and alert scientists to potential measurement or calibration issues, including their possible temporal and/or spatial variations. Our goal is that calibration relationships be calculated in a consistent manner and be made available for general use. Examples of some long-term records and how they might be interpreted, the calibration relationships that arise from co-located measurements, and the methods used to derive those relationships will be discussed. We intend to include and regularly update these relationships on the AGAGE and NOAA/GML websites.

    Abstract: Large amounts of terrestrial carbon and nutrients are routed to the ocean through the Land-Ocean Aquatic Continuum (LOAC). Once in coastal waters, these terrestrial inputs impact ocean carbon chemistry. Lateral carbon export from rivers has been estimated to be responsible for global-ocean outgassing of roughly 0.45 Pg C yr-1. However, the biogeochemical pathway for this outgassing has not yet been quantified. In this study, we have carried out a set of model sensitivity experiments, in which we introduce terrestrial carbon and nutrients in the ECCO-Darwin global-ocean biogeochemistry state estimate. We compute daily riverine export by combining the GlobalNEWS2.0 watershed model with point-source freshwater discharge from the JRA55-do atmospheric reanalysis. We quantify the litter and soil carbon pool for mangrove forests worldwide and the tidally-driven flux from this intertidal carbon pool to the open ocean following the time-volume change of water estimated from the combination of the FES2014 barotropic tidal model and the Global LiDAR Lowland Digital Terrain Model. We evaluate the impact of terrestrial exports on the global ocean by comparing a suite of experiments against a baseline simulation that does not include terrestrial carbon and nutrient export for the 1995–2017 period. Our study explores the role of terrestrial carbon and nutrients in the ocean’s biological and carbon chemistry. By including processes that occur at the land-ocean interface, we aim for an improved understanding of how the LOAC impacts global carbon cycling.

    Abstract: Wildfires significantly affect vegetation, soil thermal and hydrological as well as carbon dynamics. This study uses a process-based biogeochemistry modeling framework that is incorporated with land surface energy balance, soil thermal and hydrological dynamics and their effects on carbon and nitrogen cycling to simulate these dynamics and carbon budget in northern high latitudes. Here we present our model results on North American boreal forests from 1986 to 2020 using satellite-derived burn severity data. We find that fires remove ecosystem carbon through combustion emissions and reduce net ecosystem production, making the ecosystem lose 3.5 Pg C during 1986-2020 and changing the boreal forests from a carbon sink to a source in the region. Our modeling also suggests that fire-impacted canopy influences surface energy balance, inducing significant summer soil temperature changes, affecting nitrogen mineralization rate and plant nitrogen uptake, thereby changing plant net primary productivity; the altered soil temperature also affects soil carbon decomposition. As a result, the canopy effects on surface energy balance significantly affect boreal forest ecosystem carbon sink and source activities in the region. Currently we are examining the wildfire impacts on permafrost dynamics and hydrological cycle as well as carbon and nitrogen dynamics in northern Eurasia.

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