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Doh, Junsang,Krummel, Matthew F Springer-Verlag 2010 Current topics in microbiology and immunology Vol.340 No.-
<P>The cell-biology of intercellular communication between T cells and their partners has been greatly advanced over the past 10 years. The key morphological and motility features of cell contact-based communication between T cells and APCs can now be seen as a collection of patterns for cell-cell interactions amongst immune cells more generally, each serving to contribute to the outcome of the contact both locally and globally. Here we review the conservation of these patterns, amongst which is the emergent 'immunological synapse,' and describe a newly defined example, formed between the adjacent activating T cells. We subsequently seek to put these and the pattern more generally into the framework of system-wide behavior of the immune system. We postulate that the patterns are fine-tuned to provide quorum-like decisions by collections of activating and activated cells that interact over time and space.</P>
History of atmospheric SF6 from 1973 to 2008
Rigby, M.,Mü,hle, J.,Miller, B. R.,Prinn, R. G.,Krummel, P. B.,Steele, L. P.,Fraser, P. J.,Salameh, P. K.,Harth, C. M.,Weiss, R. F.,Greally, B. R.,O&,apos,Doherty, S.,Simmonds, P. G.,Vollmer, M Copernicus GmbH 2010 Atmospheric Chemistry and Physics Vol.10 No.21
<P>Abstract. We present atmospheric sulfur hexafluoride (SF6) mole fractions and emissions estimates from the 1970s to 2008. Measurements were made of archived air samples starting from 1973 in the Northern Hemisphere and from 1978 in the Southern Hemisphere, using the Advanced Global Atmospheric Gases Experiment (AGAGE) gas chromatographic-mass spectrometric (GC-MS) systems. These measurements were combined with modern high-frequency GC-MS and GC-electron capture detection (ECD) data from AGAGE monitoring sites, to produce a unique 35-year atmospheric record of this potent greenhouse gas. Atmospheric mole fractions were found to have increased by more than an order of magnitude between 1973 and 2008. The 2008 growth rate was the highest recorded, at 0.29 ± 0.02 pmolmol−1 yr−1. A three-dimensional chemical transport model and a minimum variance Bayesian inverse method was used to estimate annual emission rates using the measurements, with a priori estimates from the Emissions Database for Global Atmospheric Research (EDGAR, version 4). Consistent with the mole fraction growth rate maximum, global emissions during 2008 were also the highest in the 1973-2008 period, reaching 7.4 ± 0.6 Gg yr−1 (1-σ uncertainties) and surpassing the previous maximum in 1995. The 2008 values follow an increase in emissions of 48 ± 20% since 2001. A second global inversion which also incorporated National Oceanic and Atmospheric Administration (NOAA) flask measurements and in situ monitoring site data agreed well with the emissions derived using AGAGE measurements alone. By estimating continent-scale emissions using all available AGAGE and NOAA surface measurements covering the period 2004-2008, with no pollution filtering, we find that it is likely that much of the global emissions rise during this five-year period originated primarily from Asian developing countries that do not report detailed, annual emissions to the United Nations Framework Convention on Climate Change (UNFCCC). We also find it likely that SF6 emissions reported to the UNFCCC were underestimated between at least 2004 and 2005. </P>
Trends and seasonal cycles in the isotopic composition of nitrous oxide since 1940
Park, S.,Croteau, P.,Boering, K. A.,Etheridge, D. M.,Ferretti, D.,Fraser, P. J.,Kim, K-R.,Krummel, P. B.,Langenfelds, R. L.,van Ommen, T. D.,Steele, L. P.,Trudinger, C. M. Springer Science and Business Media LLC 2012 Nature geoscience Vol.5 No.4
Rapid increase in ozone-depleting chloroform emissions from China
Fang, Xuekun,Park, Sunyoung,Saito, Takuya,Tunnicliffe, Rachel,Ganesan, Anita L.,Rigby, Matthew,Li, Shanlan,Yokouchi, Yoko,Fraser, Paul J.,Harth, Christina M.,Krummel, Paul B.,Mü,hle, Jens,O’Dohert Springer Science and Business Media LLC 2019 Nature geoscience Vol.12 No.2
O&,apos,Doherty, S.,Rigby, M.,Mü,hle, J.,Ivy, D. J.,Miller, B. R.,Young, D.,Simmonds, P. G.,Reimann, S.,Vollmer, M. K.,Krummel, P. B.,Fraser, P. J.,Steele, L. P.,Dunse, B.,Salameh, P. K.,Harth, Copernicus GmbH 2014 Atmospheric chemistry and physics Vol.14 No.17
<P>Abstract. High-frequency, in situ observations from the Advanced Global Atmospheric Gases Experiment (AGAGE), for the period 2003 to 2012, combined with archive flask measurements dating back to 1977, have been used to capture the rapid growth of HFC-143a (CH3CF3) and HFC-32 (CH2F2) mole fractions and emissions into the atmosphere. Here we report the first in situ global measurements of these two gases. HFC-143a and HFC-32 are the third and sixth most abundant hydrofluorocarbons (HFCs) respectively and they currently make an appreciable contribution to the HFCs in terms of atmospheric radiative forcing (1.7 ± 0.04 and 0.7 ± 0.02 mW m−2 in 2012 respectively). In 2012 the global average mole fraction of HFC-143a was 13.4 ± 0.3 ppt (1σ) in the lower troposphere and its growth rate was 1.4 ± 0.04 ppt yr−1; HFC-32 had a global mean mole fraction of 6.2 ± 0.2 ppt and a growth rate of 1.1 ± 0.04 ppt yr−1 in 2012. The extensive observations presented in this work have been combined with an atmospheric transport model to simulate global atmospheric abundances and derive global emission estimates. It is estimated that 23 ± 3 Gg yr−1 of HFC-143a and 21 ± 11 Gg yr−1 of HFC-32 were emitted globally in 2012, and the emission rates are estimated to be increasing by 7 ± 5% yr−1 for HFC-143a and 14 ± 11% yr−1 for HFC-32. </P>
Ganesan, A. L.,Rigby, M.,Zammit-Mangion, A.,Manning, A. J.,Prinn, R. G.,Fraser, P. J.,Harth, C. M.,Kim, K.-R.,Krummel, P. B.,Li, S.,Mü,hle, J.,O&,apos,Doherty, S. J.,Park, S.,Salameh, P. K.,Ste Copernicus GmbH 2014 Atmospheric chemistry and physics Vol.14 No.8
<P>Abstract. We present a hierarchical Bayesian method for atmospheric trace gas inversions. This method is used to estimate emissions of trace gases as well as 'hyper-parameters' that characterize the probability density functions (PDFs) of the a priori emissions and model-measurement covariances. By exploring the space of 'uncertainties in uncertainties', we show that the hierarchical method results in a more complete estimation of emissions and their uncertainties than traditional Bayesian inversions, which rely heavily on expert judgment. We present an analysis that shows the effect of including hyper-parameters, which are themselves informed by the data, and show that this method can serve to reduce the effect of errors in assumptions made about the a priori emissions and model-measurement uncertainties. We then apply this method to the estimation of sulfur hexafluoride (SF6) emissions over 2012 for the regions surrounding four Advanced Global Atmospheric Gases Experiment (AGAGE) stations. We find that improper accounting of model representation uncertainties, in particular, can lead to the derivation of emissions and associated uncertainties that are unrealistic and show that those derived using the hierarchical method are likely to be more representative of the true uncertainties in the system. We demonstrate through this SF6 case study that this method is less sensitive to outliers in the data and to subjective assumptions about a priori emissions and model-measurement uncertainties than traditional methods. </P>