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  • 1
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    Springer
    In:  New York, Springer, vol. 17, pp. 225, (ISBN 0-19-851393-3)
    Publication Date: 1988
    Keywords: Review article ; Borehole geophys. ; Applied geophysics
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  • 2
    facet.materialart.
    Unknown
    Springer
    In:  New York, Springer, vol. 17, pp. 225, (ISBN 0-19-851393-3)
    Publication Date: 1988
    Keywords: Borehole geophys. ; Applied geophysics ; Textbook of geophysics
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  • 3
    Publication Date: 2011-03-06
    Description: ABSTRACT This paper examines available data, develops a strategy, and presents a monthly, global time series of fossil-fuel carbon dioxide emissions for the years 1950 to 2006. This monthly time series was constructed from detailed study of monthly data from the 21 countries that account for approximately 80% of global total emissions. These data were then used in a Monte Carlo approach to proxy for all remaining countries. The proportional-proxy methodology estimates by fuel group the fraction of annual emissions emitted in each country and month. Emissions from solid, liquid, and gas fuels are explicitly modeled by the proportional-proxy method. The primary conclusion from this study is the global monthly time series is statistically significantly different from a uniform distribution throughout the year. Uncertainty analysis of the data presented show that the proportional-proxy method used faithfully reproduces monthly patterns in the data and the global monthly pattern of emissions is relatively insensitive to the exact proxy assignments used. The data and results presented here should lead to a better understanding of global and regional carbon cycles, especially when the mass data are combined with the stable carbon isotope data in atmospheric transport models.
    Print ISSN: 0280-6509
    Electronic ISSN: 1600-0889
    Topics: Geography , Physics
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  • 4
    Publication Date: 2014-07-15
    Description: Three uncertainty assessments associated with the global total of carbon dioxide emitted from fossil fuel use and cement production are presented. Each assessment has its own strengths and weaknesses and none give a full uncertainty assessment of the emission estimates. This approach grew out of the lack of independent measurements at the spatial and temporal scales of interest. Issues of dependent and independent data are considered as well as the temporal and spatial relationships of the data. The result is a multifaceted examination of the uncertainty associated with fossil fuel carbon dioxide emission estimates. The three assessments collectively give a range that spans from 1.0 to 13% (2 σ). Greatly simplifying the assessments give a global fossil fuel carbon dioxide uncertainty value of 8.4% (2 σ). In the largest context presented, the determination of fossil fuel emission uncertainty is important for a better understanding of the global carbon cycle and its implications for the physical, economic and political world. Keywords: climate change, carbon cycle, uncertainty analysis (Published: 14 July 2014) Citation: Tellus B 2014, 66 , 23616, http://dx.doi.org/10.3402/tellusb.v66.23616
    Print ISSN: 0280-6509
    Electronic ISSN: 1600-0889
    Topics: Geography , Physics
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  • 5
    Publication Date: 2003-03-29
    Description: Volcanic aerosols from the 1991 Mount Pinatubo eruption greatly increased diffuse radiation worldwide for the following 2 years. We estimated that this increase in diffuse radiation alone enhanced noontime photosynthesis of a deciduous forest by 23% in 1992 and 8% in 1993 under cloudless conditions. This finding indicates that the aerosol-induced increase in diffuse radiation by the volcano enhanced the terrestrial carbon sink and contributed to the temporary decline in the growth rate of atmospheric carbon dioxide after the eruption.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gu, Lianhong -- Baldocchi, Dennis D -- Wofsy, Steve C -- Munger, J William -- Michalsky, Joseph J -- Urbanski, Shawn P -- Boden, Thomas A -- New York, N.Y. -- Science. 2003 Mar 28;299(5615):2035-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Environmental Sciences Division, Building 1509, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6335, USA. lianhong-gu@ornl.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12663919" target="_blank"〉PubMed〈/a〉
    Keywords: Aerosols ; *Atmosphere ; *Carbon Dioxide/metabolism ; Climate ; *Ecosystem ; Mathematics ; Models, Statistical ; Nonlinear Dynamics ; Philippines ; *Photosynthesis ; Regression Analysis ; Scattering, Radiation ; Seasons ; Sunlight ; Temperature ; Trees/*metabolism ; *Volcanic Eruptions
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2019
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 7
    Publication Date: 2015-08-21
    Description: Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China's total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China's carbon emissions using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000-2012 than the value reported by China's national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China's cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China's CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = +/-7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China's cumulative carbon emissions. Our findings suggest that overestimation of China's emissions in 2000-2013 may be larger than China's estimated total forest sink in 1990-2007 (2.66 gigatonnes of carbon) or China's land carbon sink in 2000-2009 (2.6 gigatonnes of carbon).〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Zhu -- Guan, Dabo -- Wei, Wei -- Davis, Steven J -- Ciais, Philippe -- Bai, Jin -- Peng, Shushi -- Zhang, Qiang -- Hubacek, Klaus -- Marland, Gregg -- Andres, Robert J -- Crawford-Brown, Douglas -- Lin, Jintai -- Zhao, Hongyan -- Hong, Chaopeng -- Boden, Thomas A -- Feng, Kuishuang -- Peters, Glen P -- Xi, Fengming -- Liu, Junguo -- Li, Yuan -- Zhao, Yu -- Zeng, Ning -- He, Kebin -- England -- Nature. 2015 Aug 20;524(7565):335-8. doi: 10.1038/nature14677.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉John F. Kennedy School of Government, Harvard University, Cambridge, Massachusetts 02138, USA. ; Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. ; Resnick Sustainability Institute, California Institute of Technology, Pasadena, California 91125, USA. ; Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, China. ; School of International Development, University of East Anglia, Norwich NR4 7TJ, UK. ; CAS Key Laboratory of Low-carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201203, China. ; Department of Earth System Science, University of California, Irvine, California 92697, USA. ; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, CE Orme des Merisiers, 91191 Gif sur Yvette Cedex, France. ; State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science, Taiyuan 030001, China. ; CNRS and UJF Grenoble 1, Laboratoire de Glaciologie et Geophysique de l'Environnement (LGGE, UMR5183), 38041 Grenoble, France. ; Department of Geographical Sciences, University of Maryland, College Park, Maryland 20742, USA. ; Research Institute for Environment, Energy, and Economics, Appalachian State University, Boone, North Carolina 28608, USA. ; Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA. ; Cambridge Centre for Climate Change Mitigation Research, Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge CB3 9EP, UK. ; Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China. ; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China. ; Center for International Climate and Environmental Research-Oslo (CICERO), N-0318 Oslo, Norway. ; CAS Key Laboratory of Pollution Ecology and Environmental Engineering, Chinese Academy of Sciences, Shenyang 110016, China. ; School of Nature Conservation, Beijing Forestry University, Beijing 10083, China. ; Ecosystems Services &Management Program, International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria. ; School of Environmental Science and Engineering, South University of Science and Technology of China, Shenzhen 518055, China. ; State Key Laboratory of Pollution Control &Resource Reuse and School of the Environment, Nanjing University, Nanjing 210023, China. ; Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20742-2425, USA. ; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26289204" target="_blank"〉PubMed〈/a〉
    Keywords: Carbon/*analysis ; Carbon Dioxide/analysis ; Carbon Sequestration ; China ; Climate Change ; Coal/utilization ; Construction Materials/*supply & distribution ; Fossil Fuels/*utilization ; Trees/metabolism ; Uncertainty
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2014-07-04
    Description: Motivation: Alignment-free methods for sequence comparison are increasingly used for genome analysis and phylogeny reconstruction; they circumvent various difficulties of traditional alignment-based approaches. In particular, alignment-free methods are much faster than pairwise or multiple alignments. They are, however, less accurate than methods based on sequence alignment. Most alignment-free approaches work by comparing the word composition of sequences. A well-known problem with these methods is that neighbouring word matches are far from independent. Results: To reduce the statistical dependency between adjacent word matches, we propose to use ‘spaced words’, defined by patterns of ‘match’ and ‘don’t care’ positions, for alignment-free sequence comparison. We describe a fast implementation of this approach using recursive hashing and bit operations, and we show that further improvements can be achieved by using multiple patterns instead of single patterns. To evaluate our approach, we use spaced-word frequencies as a basis for fast phylogeny reconstruction. Using real-world and simulated sequence data, we demonstrate that our multiple-pattern approach produces better phylogenies than approaches relying on contiguous words. Availability and implementation: Our program is freely available at http://spaced.gobics.de/ . Contact: chris.leimeister@stud.uni-goettingen.de Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 9
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Nuclear Instruments and Methods in Physics Research Section A: 340 (1994), S. 491-500 
    ISSN: 0168-9002
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 0168-583X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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