ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Wiley  (54)
  • American Association for the Advancement of Science (AAAS)
  • 1
    Publication Date: 2015-07-06
    Description: A wide spectrum of accounting frameworks and models is available to describe socioeconomic metabolism (SEM). Despite the common system of study, a large variety of terms and representations of that system are used by different models. This makes it difficult for practitioners to compare and choose a model or model combination that is fit for purpose. To facilitate model comparison, we analyze the system structure of material flow analysis (MFA); life cycle assessment (LCA); supply and use tables (SUTs); Leontief, Ghosh, and waste input-output analysis; integrated assessment models; and computable general equilibrium models. We show that the typical system structure of MFA and LCA is a directed graph. For the other models and some MFA and LCA studies, the system structure is a bipartite directed graph. We demonstrate that bipartite directed graphs and SUTs are equivalent representations of SEM. We show that the system structures of the models above are special cases of a general system structure, which models SEM as a bipartite graph . The general system structure includes industries, markets, the final use phase, products, waste, production factors, resources, and emissions. From the general system structure, we derive an accounting framework in the form of a generalized SUT. The general system structure facilitates the development of clear and unambiguous terminology across models. It helps to identify rules for the correct accounting of waste flows and stock changes. It facilitates model comparison and can serve as a blueprint for a model-independent database of SEM.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2015-12-24
    Description: The complexity of data and methods in industrial ecology (IE) keeps growing, and the demand for comprehensive and interdisciplinary assessments increases. To keep up with this development, the field needs a data infrastructure that allows researchers to annotate, store, retrieve, combine, and exchange data at low cost, without loss of information, and across disciplines and model frameworks. A consensus-building debate about how to describe the common object of study, socioeconomic metabolism (SEM), is necessary for the development of practical data structures and databases. We review the definitions of basic concepts to describe SEM in IE and related fields such as integrated assessment modeling. We find that many definitions are not compatible, are implicit, and are sometimes lacking. To resolve the conflicts and inconsistencies within the current definitions, we propose a hierarchical system of terms and definitions, a practical ontology , for describing objects, their properties, and events in SEM. We propose a typology of object properties and use sets to group objects into a hierarchical, mutually exclusive, and collectively exhaustive (H-MECE) classification. This grouping leads to a general definition of stocks . We show that a MECE representation of events necessarily requires two complementary concepts: processes and flows , for which we propose general definitions based on sets. Using these definitions, we show that the system structure of any interdisciplinary model of SEM can be formulated as a directed graph . We propose guidelines for semantic data annotation and database design, which can help to turn the vision of a powerful data infrastructure for SEM research into reality.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2015-10-01
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2011-03-18
    Description: Quantification of global land evapotranspiration (ET) has long been associated with large uncertainties due to the lack of reference observations. Several recently developed products now provide the capacity to estimate ET at global scales. These products, partly based on observational data, include satellite-based products, land surface model (LSM) simulations, atmospheric reanalysis output, estimates based on empirical upscaling of eddy-covariance flux measurements, and atmospheric water balance datasets. The LandFlux-EVAL project aims to evaluate and compare these newly developed datasets. Additionally, an evaluation of IPCC AR4 global climate model (GCM) simulations is presented, providing an assessment of their capacity to reproduce flux behavior relative to the observations-based products. Though differently constrained with observations, the analyzed reference datasets display similar large-scale ET patterns. ET from the IPCC AR4 simulations was significantly smaller than that from the other products for India (up to 1 mm/d) and parts of eastern South America, and larger in the western USA, Australia and China. The inter-product variance is lower across the IPCC AR4 simulations than across the reference datasets in several regions, which indicates that uncertainties may be underestimated in the IPCC AR4 models due to shared biases of these simulations.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2011-01-20
    Description: A global intercomparison of 12 monthly mean land surface heat flux products for the period 1993–1995 is presented. The intercomparison includes some of the first emerging global satellite-based products (developed at Paris Observatory, Max Planck Institute for Biogeochemistry, University of California Berkeley, University of Maryland, and Princeton University) and examples of fluxes produced by reanalyses (ERA-Interim, MERRA, NCEP-DOE) and off-line land surface models (GSWP-2, GLDAS CLM/Mosaic/Noah). An intercomparison of the global latent heat flux (Qle) annual means shows a spread of ∼20 W m−2 (all-product global average of ∼45 W m−2). A similar spread is observed for the sensible (Qh) and net radiative (Rn) fluxes. In general, the products correlate well with each other, helped by the large seasonal variability and common forcing data for some of the products. Expected spatial distributions related to the major climatic regimes and geographical features are reproduced by all products. Nevertheless, large Qle and Qh absolute differences are also observed. The fluxes were spatially averaged for 10 vegetation classes. The larger Qle differences were observed for the rain forest but, when normalized by mean fluxes, the differences were comparable to other classes. In general, the correlations between Qle and Rn were higher for the satellite-based products compared with the reanalyses and off-line models. The fluxes were also averaged for 10 selected basins. The seasonality was generally well captured by all products, but large differences in the flux partitioning were observed for some products and basins.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2019
    Description: Abstract Until this day, data in industrial ecology (IE) have been commonly seen as existing within the domain of particular methods or models, such as input–output, life cycle assessment, urban metabolism, or material flow analysis data. This artificial division of data into methods contradicts the common phenomena described by those data: the objects and processes in the industrial system, or socioeconomic metabolism (SEM). A consequence of this scattered organization of related data across methods is that IE researchers and consultants spend too much time searching for and reformatting data from diverse and incoherent sources, time that could be invested into quality control and analysis of model results instead. This article outlines a solution to two major barriers to data exchange within IE: (a) the lack of a generic structure for IE data and (b) the lack of a bespoke platform to exchange IE datasets. We present a general data model for SEM that can be used to structure all data that can be located in the industrial system, including process descriptions, product descriptions, stocks, flows, and coefficients of all kind. We describe a relational database built on the general data model and a user interface to it, both of which are open source and can be implemented by individual researchers, groups, institutions, or the entire community. In the latter case, one could speak of an IE data commons (IEDC), and we unveil an IEDC prototype containing a diverse set of datasets from the literature.
    Print ISSN: 1088-1980
    Electronic ISSN: 1530-9290
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Wiley
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2013-12-10
    Description: [1]  Land climate is important for human population since it affects inhabited areas. Here, we evaluate the realism of simulated evapotranspiration (ET), precipitation, and temperature in the CMIP5 multi-model ensemble on continental areas. For ET, a newly compiled synthesis dataset prepared within the GEWEX-sponsored LandFlux-EVAL project is used. The results reveal systematic ET biases in the CMIP5 simulations, with an overestimation in most regions, especially in Europe, Africa, China, Australia, Western North America and part of the Amazon region. The global average overestimation amounts to 0.17 mm/d. This bias is more pronounced than in the previous CMIP3 ensemble (overestimation of 0.09 mm/d). Consistent with the ET overestimation, precipitation is also overestimated relative to existing reference datasets. We suggest that the identified biases in ET can explain respective systematic biases in temperature in many of the considered regions. The biases additionally display a seasonal dependence, and are generally of opposite sign (ET underestimation, temperature overestimation) in boreal summer (June to August).
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2011-12-29
    Description: Using an ensemble of coupled physical-biogeochemical models driven with regionalized data from global climate simulations we are able to quantify the influence of changing climate upon oxygen conditions in one of the numerous coastal seas (the Baltic Sea) that suffers worldwide from eutrophication and from expanding hypoxic zones. Applying various nutrient load scenarios we show that under the impact of warming climate hypoxic and anoxic areas will very likely increase or at best only slightly decrease (in case of optimistic nutrient load reductions) compared to present conditions, regardless of the used global model and climate scenario. The projected decreased oxygen concentrations are caused by (1) enlarged nutrient loads due to increased runoff, (2) reduced oxygen flux from the atmosphere to the ocean due to increased temperature, and (3) intensified internal nutrient cycling. In future climate a similar expansion of hypoxia as projected for the Baltic Sea can be expected also for other coastal oceans worldwide.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2000-01-11
    Description: The violation of mirror symmetry in the weak force provides a powerful tool to study the internal structure of the proton. Experimental results have been obtained that address the role of strange quarks in generating nuclear magnetism. The measurement reported here provides an unambiguous constraint on strange quark contributions to the proton's magnetic moment through the electron-proton weak interaction. We also report evidence for the existence of a parity-violating electromagnetic effect known as the anapole moment of the proton. The proton's anapole moment is not yet well understood theoretically, but it could have important implications for precision weak interaction studies in atomic systems such as cesium.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hasty, R -- Hawthorne-Allen, A M -- Averett, T -- Barkhuff, D -- Beck, D H -- Beise, E J -- Blake, A -- Breuer, H -- Carr, R -- Covrig, S -- Danagoulian, A -- Dodson, G -- Dow, K -- Farkhondeh, M -- Filippone, B W -- Gao, J -- Herda, M C -- Ito, T M -- Jones, C E -- Korsch, W -- Kramer, K -- Kowalski, S -- Lee, P -- McKeown, R D -- Mueller, B -- Pitt, M -- New York, N.Y. -- Science. 2000 Dec 15;290(5499):2117-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11118140" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2007-10-13
    Description: Chlamydomonas reinhardtii is a unicellular green alga whose lineage diverged from land plants over 1 billion years ago. It is a model system for studying chloroplast-based photosynthesis, as well as the structure, assembly, and function of eukaryotic flagella (cilia), which were inherited from the common ancestor of plants and animals, but lost in land plants. We sequenced the approximately 120-megabase nuclear genome of Chlamydomonas and performed comparative phylogenomic analyses, identifying genes encoding uncharacterized proteins that are likely associated with the function and biogenesis of chloroplasts or eukaryotic flagella. Analyses of the Chlamydomonas genome advance our understanding of the ancestral eukaryotic cell, reveal previously unknown genes associated with photosynthetic and flagellar functions, and establish links between ciliopathy and the composition and function of flagella.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875087/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875087/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Merchant, Sabeeha S -- Prochnik, Simon E -- Vallon, Olivier -- Harris, Elizabeth H -- Karpowicz, Steven J -- Witman, George B -- Terry, Astrid -- Salamov, Asaf -- Fritz-Laylin, Lillian K -- Marechal-Drouard, Laurence -- Marshall, Wallace F -- Qu, Liang-Hu -- Nelson, David R -- Sanderfoot, Anton A -- Spalding, Martin H -- Kapitonov, Vladimir V -- Ren, Qinghu -- Ferris, Patrick -- Lindquist, Erika -- Shapiro, Harris -- Lucas, Susan M -- Grimwood, Jane -- Schmutz, Jeremy -- Cardol, Pierre -- Cerutti, Heriberto -- Chanfreau, Guillaume -- Chen, Chun-Long -- Cognat, Valerie -- Croft, Martin T -- Dent, Rachel -- Dutcher, Susan -- Fernandez, Emilio -- Fukuzawa, Hideya -- Gonzalez-Ballester, David -- Gonzalez-Halphen, Diego -- Hallmann, Armin -- Hanikenne, Marc -- Hippler, Michael -- Inwood, William -- Jabbari, Kamel -- Kalanon, Ming -- Kuras, Richard -- Lefebvre, Paul A -- Lemaire, Stephane D -- Lobanov, Alexey V -- Lohr, Martin -- Manuell, Andrea -- Meier, Iris -- Mets, Laurens -- Mittag, Maria -- Mittelmeier, Telsa -- Moroney, James V -- Moseley, Jeffrey -- Napoli, Carolyn -- Nedelcu, Aurora M -- Niyogi, Krishna -- Novoselov, Sergey V -- Paulsen, Ian T -- Pazour, Greg -- Purton, Saul -- Ral, Jean-Philippe -- Riano-Pachon, Diego Mauricio -- Riekhof, Wayne -- Rymarquis, Linda -- Schroda, Michael -- Stern, David -- Umen, James -- Willows, Robert -- Wilson, Nedra -- Zimmer, Sara Lana -- Allmer, Jens -- Balk, Janneke -- Bisova, Katerina -- Chen, Chong-Jian -- Elias, Marek -- Gendler, Karla -- Hauser, Charles -- Lamb, Mary Rose -- Ledford, Heidi -- Long, Joanne C -- Minagawa, Jun -- Page, M Dudley -- Pan, Junmin -- Pootakham, Wirulda -- Roje, Sanja -- Rose, Annkatrin -- Stahlberg, Eric -- Terauchi, Aimee M -- Yang, Pinfen -- Ball, Steven -- Bowler, Chris -- Dieckmann, Carol L -- Gladyshev, Vadim N -- Green, Pamela -- Jorgensen, Richard -- Mayfield, Stephen -- Mueller-Roeber, Bernd -- Rajamani, Sathish -- Sayre, Richard T -- Brokstein, Peter -- Dubchak, Inna -- Goodstein, David -- Hornick, Leila -- Huang, Y Wayne -- Jhaveri, Jinal -- Luo, Yigong -- Martinez, Diego -- Ngau, Wing Chi Abby -- Otillar, Bobby -- Poliakov, Alexander -- Porter, Aaron -- Szajkowski, Lukasz -- Werner, Gregory -- Zhou, Kemin -- Grigoriev, Igor V -- Rokhsar, Daniel S -- Grossman, Arthur R -- GM07185/GM/NIGMS NIH HHS/ -- GM42143/GM/NIGMS NIH HHS/ -- R01 GM032843/GM/NIGMS NIH HHS/ -- R01 GM042143/GM/NIGMS NIH HHS/ -- R01 GM042143-09/GM/NIGMS NIH HHS/ -- R01 GM060992/GM/NIGMS NIH HHS/ -- R01 GM062915-06/GM/NIGMS NIH HHS/ -- R37 GM030626/GM/NIGMS NIH HHS/ -- R37 GM042143/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2007 Oct 12;318(5848):245-50.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17932292" target="_blank"〉PubMed〈/a〉
    Keywords: Algal Proteins/*genetics/*physiology ; Animals ; *Biological Evolution ; Chlamydomonas reinhardtii/*genetics/physiology ; Chloroplasts/metabolism ; Computational Biology ; DNA, Algal/genetics ; Flagella/metabolism ; Genes ; *Genome ; Genomics ; Membrane Transport Proteins/genetics/physiology ; Molecular Sequence Data ; Multigene Family ; Photosynthesis/genetics ; Phylogeny ; Plants/genetics ; Proteome ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...