408 research outputs found
Partitioning of Ozone Loss Pathways in the Ozone Quasi-biennial Oscillation Simulated by a Chemistry-Climate Model
Ozone loss pathways and their rates in the ozone quasi-biennial oscillation (QBO), which is simulated by a
chemistry-climate model developed by the Meteorological Research Institute of Japan, are evaluated using an ob-
jective pathway analysis program (PAP). The analyzed chemical system contains catalytic cycles caused by NOx ,
HOx , ClOx , Ox , and BrOx . PAP quantified the rates of all significant catalytic ozone loss cycles, and evaluated the
partitioning among these cycles. The QBO amplitude of the sum of all cycles amounts to about 4 and 14 % of
the annual mean of the total ozone loss rate at 10 and 20 hPa, respectively. The contribution of catalytic cycles
to the QBO of the ozone loss rate is found to be as follows: NOx cycles contribute the largest fraction (50 – 85 %)
of the QBO amplitude of the total ozone loss rate; HOx cycles are the second-largest (20 – 30 %) below 30 hPa
and the third-largest (about 10 %) above 20 hPa; Ox cycles rank third (5 – 20 %) below 30 hPa and second (about
20 %) above 20 hPa; ClOx cycles rank fourth (5 – 10 %); and BrOx cycles are almost negligible. The relative
contribution of the NOx and Ox cycles to the QBO amplitude of ozone loss differs by up to 10 % and 20 %,
respectively, from their contribution to the annual mean ozone loss rate. The ozone QBO at 20 hPa is mainly
driven by ozone transport, which then alters the ozone loss rate. In contrast, the ozone QBO at 10 hPa is driven
chemically by NOx and the temperature dependence of [O]/[O3], which results from the temperature dependence
of the reaction O + O2 + M → O3 + M. In addition, the ozone QBO at 10 hPa is influenced by the overhead
ozone column, which affects [O]/[O3] (through ozone photolysis) and the ozone production rate (through oxygen
photolysis)
A quantitative analysis of the reactions involved in stratospheric ozone depletion in the polar vortex core
We present a quantitative analysis of the chemical reactions involved in polar ozone depletion in the stratosphere and of the relevant reaction pathways and cycles. While the reactions involved in polar ozone depletion are well known, quantitative estimates of the importance of individual reactions or reaction cycles are rare. In particular, there is no comprehensive and quantitative study of the reaction rates and cycles averaged over the polar vortex under conditions of heterogeneous chemistry so far. We show time series of reaction rates averaged over the core of the polar vortex in winter and spring for all relevant reactions and indicate which reaction pathways and cycles are responsible for the vortex-averaged net change of the key species involved in ozone depletion, i.e., ozone, chlorine species (ClOx, HCl, ClONO2), bromine species, nitrogen species (HNO3, NOx) and hydrogen species (HOx). For clarity, we focus on one Arctic winter (2004–2005) and one Antarctic winter (2006) in a layer in the lower stratosphere around 54  hPa and show results for additional pressure levels and winters in the Supplement. Mixing ratios and reaction rates are obtained from runs of the ATLAS Lagrangian chemistry and transport model (CTM) driven by the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data. An emphasis is put on the partitioning of the relevant chemical families (nitrogen, hydrogen, chlorine, bromine and odd oxygen) and activation and deactivation of chlorine
Update of the Polar SWIFT model for polar stratospheric ozone loss (Polar SWIFT version 2)
The Polar SWIFT model is a fast scheme for calculating the chemistry of stratospheric ozone depletion in polar winter. It is intended for use in global climate models (GCMs) and Earth system models (ESMs) to enable the simulation of mutual interactions between the ozone layer and climate. To date, climate models often use prescribed ozone fields, since a full stratospheric chemistry scheme is computationally very expensive. Polar SWIFT is based on a set of coupled differential equations, which simulate the polar vortex-averaged mixing ratios of the key species involved in polar ozone depletion on a given vertical level. These species are O3, chemically active chlorine (ClOx), HCl, ClONO2 and HNO3. The only external input parameters that drive the model are the fraction of the polar vortex in sunlight and the fraction of the polar vortex below the temperatures necessary for the formation of polar stratospheric clouds. Here, we present an update of the Polar SWIFT model introducing several improvements over the original model formulation. In particular, the model is now trained on vortex-averaged reaction rates of the ATLAS Chemistry and Transport Model, which enables a detailed look at individual processes and an independent validation of the different parameterizations contained in the differential equations. The training of the original Polar SWIFT model was based on fitting complete model runs to satellite observations and did not allow for this. A revised formulation of the system of differential equations is developed, which closely fits vortex-averaged reaction rates from ATLAS that represent the main chemical processes influencing ozone. In addition, a parameterization for the HNO3 change by denitrification is included. The rates of change of the concentrations of the chemical species of the Polar SWIFT model are purely chemical rates of change in the new version, whereas in the original Polar SWIFT model, they included a transport effect caused by the original training on satellite data. Hence, the new version allows for an implementation into climate models in combination with an existing stratospheric transport scheme. Finally, the model is now formulated on several vertical levels encompassing the vertical range in which polar ozone depletion is observed. The results of the Polar SWIFT model are validated with independent Microwave Limb Sounder (MLS) satellite observations and output from the original detailed chemistry model of ATLAS
Transport parameterization of the Polar SWIFT model (version 2)
The Polar SWIFT model is a fast scheme for calculating the chemistry of stratospheric ozone depletion in the polar vortex in winter. It is intended for use in general circulation models (GCMs) and earth system models (ESMs) to enable the simulation of interactions between the ozone layer and climate when a full stratospheric chemistry scheme is computationally too expensive. In addition to the simulation of chemistry, ozone has to be transported in the GCM. As an alternative to the general schemes for the transport and mixing of tracers in the GCMs, a parameterization of the transport of ozone can be used in order to obtain the total change of ozone as the sum of the change by transport and by chemistry. One of the benefits of this approach is the easy and self-contained coupling to a GCM. Another potential advantage is that a transport parameterization based on reanalysis data and measurements can avoid deficiencies in the representation of transport in the GCMs, such as deficits in the representation of the Brewer–Dobson circulation caused by the gravity wave parameterization. Hence, we present a transport parameterization for the Polar SWIFT model that simulates the change in vortex-averaged ozone by transport in a fast and simple way without the need for a complex transport scheme in the GCM
Innovative Solution Approach for Controlling Access to Visibility Data in Open Food Supply Chains
Visibility data (providing details about supply chain activities in e.g. production, logistics, and quality processes) is of highly sensitive nature – not just in the food sector, but also beyond. Amongst other things, unauthorized data access can be (mis)used to uncover supply chain relationships, volumes, and other business context information. At the same time, it becomes increasingly important to share visibility data with trading partners, e.g. to meet customer requirements and legal obligations. So far, it is not a trivial matter to access or even discover that data, which is often stored in numerous distributed databases.A possible means to overcome this predicament is a Discovery Service (DS), which has knowledge of the parties owning information about specific objects (e.g. product batches) and can provide pointers to the actual data sources to authorized clients while leaving no opportunity to misuse accessible data. It is important to note that a DS itself does not contain actual visibility data, but only references to it. Yet, even the knowledge that party A, B and C have information about a specific product is still sensitive as the querying client would be able to reveal the flow of goods and may take advantage of that knowledge. For instance, he could identify his supplier’s upstream vendor and, for the sake of saving costs, try to procure products directly from that upstream vendor rather than from his previous supplier. Hence, a DS should provide the ability to prevent such scenarios if it strives to achieve a high level of acceptance.A key enabler for a DS is a trust-inspiring means to ascertain whether a querying party is actually part of a given chain of custody (CoC). In conjunction with a set of rules previously defined by the respective data owners, the DS is then able to decide which service addresses (if at all) can be provided in the message response to the query client. Afterwards, the querying party can gather detailed information about a specific object by querying the indicated data sources. In this context, our paper addresses the following research question: How can a DS ascertain if and to which extent a trading partner, whether known or not, is entitled to get pointers to visibility data stored in distributed repositories while ensuring privacy of the data owners?In pursuing this research question, we first provide the relevant background including the current state of the art. Second, we explain and discuss the solution approach and complete our paper by outlining the solution we are going to realize in the course of the research project ‘FoodAuthent’ (funded by the German Ministry of Food and Agriculture).
SWIFT: Semi-empirical and numerically efficient stratospheric ozone chemistry for global climate models
The SWIFT model is a fast yet accurate chemistry scheme for calculating the chemistry of stratospheric ozone.
It is mainly intended for use in Global Climate Models (GCMs), Chemistry Climate Models (CCMs) and Earth
System Models (ESMs). For computing time reasons these models often do not employ full stratospheric chem-
istry modules, but use prescribed ozone instead. This can lead to insufficient representation between stratosphere and troposphere. The SWIFT stratospheric ozone chemistry model, focuses on the major reaction mechanisms of ozone production and loss in order to reduce the computational costs.
SWIFT consists of two sub-models. 1) Inside the polar vortex, the model calculates polar vortex averaged ozone
loss by solving a set of coupled differential equations for the key species in polar ozone chemistry. 2) The extrapolar regime, which this poster is going to focus on. Outside the polar vortex, the complex system of differential equations of a full stratospheric chemistry model is replaced by an explicit algebraic polynomial, which can be solved in a fraction of the time needed by the full scale model. The approach, which is used to construct the polynomial, is also referred to as repro-modeling and has been successfully applied to chemical models (Turanyi (1993), Lowe & Tomlin (2000)).
The procedure uses data from the Lagrangian stratospheric chemistry and transport model ATLAS and yields one
high-order polynomial for global ozone loss and production rates over 24h per month. The stratospheric ozone
change rates can be sufficiently described by 9 variables. Latitude, altitude, temperature, the overhead ozone abundance, 4 mixing ratios of ozone depleting chemical families (chlorine, bromine, nitrogen-oxides and hydrogen-oxides) and the ozone concentrations itself. The ozone change rates in the lower stratosphere as a function of these 9 variables yield a sufficiently compact 9-D hyper-surface, which we can approximate with a polynomial. In the upper stratosphere (roughly above 30km) the ozone chemical lifetime becomes shorter than the transport time scales, thus the ozone concentrations are determined by the local atmospheric conditions. We therefore introduce an additional regime in the upper stratosphere, where the ozone concentrations, instead of the 24h change rates, are fitted. The fitted polynomial for upper stratospheric ozone is dependent on the same variables, except the ozone concentration, naturally. This poster shows results of simulations employing the polynomial scheme and discusses constraints on the method
Origin of Tropospheric Air Masses in the Tropical West Pacific inferred from balloon-borne Ozone and Water Vapour observations from Palau
Motivated by previous measurements of very low tropospheric ozone concentrations in the Tropical West Pacific (TWP) and the implied low oxidizing capacity of this key region for transport into the stratosphere (e.g. [1]), we set up an atmospheric research station in Palau (7°N 134°E) as part of the StratoClim campaign. Our analysis of regular balloon-borne tropospheric ozone observations at Palau from 01/2016-12/2019 gives unprecedented insights into transport processes and air mass origin in the TWP. We confirm the year-round dominance of a low ozone background in the mid-troposphere. Layers of enhanced ozone are often anti-correlated with water vapor and occur frequently. Moreover, the occurrence of respective layers shows a strong seasonality. Dry and ozone-rich air masses between 5 and 10 km altitude were observed in 71 % of the profiles from February until April compared to 25 % from August until October. By defining monthly atmospheric background profiles for ozone and relative humidity based on observed statistics, we found that the deviations from this background reveal a bimodal distribution of RH anomalies. A previously proposed universal bimodal structure of free tropospheric ozone in the TWP could not be verified [2].
Back trajectory calculations (ATLAS) confirm that throughout the year the mid-tropospheric background is controlled by local convective processes and the origin of air masses is thus close to or East of Palau in the Pacific Ocean. Dry and ozone-rich air originates in tropical Asia and reaches Palau in anticyclonic conditions over an area stretching from India to the Philippines. This supports the hypothesis of several studies which attribute ozone enhancement against the ozone-poor background to remote pollution events on the ground such as biomass burning (e.g. [3]). A potential vorticity analysis revealed no stratospheric influence and we thus propose large-scale descent within the tropical troposphere as responsible for dehydration of air masses on their way to Palau.
References
[1] M. Rex, I. Wohltmann, T. Ridder, R. Lehmann, K. Rosenlof, P. Wennberg, D. Weisenstein, J. Notholt, K. Kruger, V. Mohr, and S. Tegtmeier, Atmospheric Chemistry and Physics, 14, 4827–4841 (2014).
[2] L. L. Pan, S. B. Honomichl, W. J. Randel, E. C. Apel, E. L. Atlas, S. P. Beaton, J. F. Bresch, R. Hornbrook, D. E. Kinnison, J.-F. Lamarque, A. Saiz-Lopez, R. J. Salawitch, and A. J. Weinheimer, Geophysical Research Letters, 42, 7844-7851 (2015).
[3] D. C. Anderson, J. M. Nicely, R. J. Salawitch, T. P. Canty, R. R. Dickerson,T. F. Hanisco, G. M. Wolfe, E. C. Apel, E. Atlas, T. Bannan, S. Bauguitte, N. J. Blake, J. F. Bresch, T. L. Campos, L. J. Carpenter, M. D. Cohen, M. Evans, R. P. Fernandez, B. H. Kahn, D. E. Kinnison, S. R. Hall, N. R.P. Harris, R. S. Hornbrook, J.-F. Lamarque, M. Le Breton, J. D. Lee, C. Percival, L. Pfister, R. B. Pierce, D. D. Riemer, A. Saiz-Lopez, B. J.B. Stunder, A. M. Thompson, K. Ullmann, A. Vaughan and A. J. Weinheimer, Nature Communications, 7, 10267 (2016)
Origin of Tropospheric Air Masses in the Tropical West Pacific and related transport processes inferred from balloon-borne Ozone and Water Vapour observations from Palau
Motivated by previous measurements of very low tropospheric ozone concentrations in the Tropical West Pacific (TWP) and the implied low oxidizing capacity of this key region for transport into the stratosphere in boreal winter (e.g. Rex et al. 2014), we set up an atmospheric research station in Palau (7°N 134°E) as part of the StratoClim campaign. Our analysis of regular balloon-borne tropospheric ozone observations at Palau from 01/2016-12/2019 gives unprecedented insights into transport processes and air mass origin in the TWP. We confirm the year-round dominance of a low ozone background in the mid-troposphere. Layers of enhanced ozone are often anti-correlated with water vapor and occur frequently. Moreover, the occurrence of respective layers shows a strong seasonality. Dry and ozone-rich air masses between 5 and 10 km altitude were observed in 71 % of the profiles from February until April compared to 25 % from August until October. By defining monthly atmospheric background profiles for ozone and relative humidity based on observed statistics, we found that the deviations from this background reveal a bimodal distribution of RH anomalies. A previously proposed universal bimodal structure of free tropospheric ozone in the TWP could not be verified (Pan et al. 2015).
Back trajectory calculations (ATLAS) confirm that throughout the year the mid-tropospheric background is controlled by local convective processes and the origin of air masses is thus close to or East of Palau in the Pacific Ocean. Dry and ozone-rich air originates in tropical Asia and reaches Palau in anticyclonic conditions over an area stretching from India to the Philippines. This supports the controversial hypothesis of several studies which attribute ozone enhancement against the ozone-poor background to remote pollution events on the ground such as biomass burning (e.g. Andersen et al. 2016). A potential vorticity analysis revealed no stratospheric influence and we thus propose large-scale descent within the tropical troposphere as responsible for dehydration of air masses on their way to Palau
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