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  • Meteorology and Climatology; Earth Resources and Remote Sensing  (5)
  • Analytical Chemistry and Spectroscopy  (3)
  • Elementary Particles and Fields  (3)
  • 1
    Digitale Medien
    Digitale Medien
    Weinheim : Wiley-Blackwell
    Journal of High Resolution Chromatography 12 (1989), S. 500-502 
    ISSN: 0935-6304
    Schlagwort(e): Gas chromatography ; Non-polar stationary phase ; Immobilization ; γ Irradiation ; Chemistry ; Analytical Chemistry and Spectroscopy
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Chemie und Pharmazie
    Zusätzliches Material: 3 Ill.
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    Chichester : Wiley-Blackwell
    Organic Magnetic Resonance 32 (1994), S. 205-209 
    ISSN: 0749-1581
    Schlagwort(e): NMR ; 13C NMR ; 17O NMR ; Cyclohexanones ; Orbital interactions ; Polar effects ; Substituent-induced shifts ; Chemistry ; Analytical Chemistry and Spectroscopy
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Chemie und Pharmazie
    Notizen: The carbon-13 chemical shifts were assigned for all ring positions in cyclohexanone and 4-tert-butylcyclohexanone with H, F, Cl, Br, I, MeO, MeS, MeSe, Me2N, Me or tert-butyl in the 2-position. The substituent-induced shifts were calculated by difference from unsubstituted cyclohexanone or 4-tert-butylcyclohexanone. Both stereoisomers (cis and trans) were available for the 4-tert-butylcyclohexanones in all but one case. Comparison of the substituent-induced shifts for the cis (equatorial 2-substituent) and trans (axial 2-substituent) isomers provides stereochemical insight into the interactions between the 2-substituent and the carbonyl group that bring about non-additivity of the substituent effects. In the 2-equatorial isomer, the dipole-dipole interaction between the functional groups causes non-additivities for the C-2 carbon that depend largely on the electronegativity of the 2-substituent. In the 2-axial isomer, hyperconjugation or other orbital interactions between the groups cause non-additivities for the C-2 carbon that depend largely on the polarizability in addition to the electronegativity of the 2-substituent.
    Zusätzliches Material: 3 Tab.
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Digitale Medien
    Digitale Medien
    Chichester : Wiley-Blackwell
    Organic Magnetic Resonance 32 (1994), S. 503-508 
    ISSN: 0749-1581
    Schlagwort(e): 1H NMR ; 3-Halocamphors ; COSY-45 ; Molecular geometries ; Substituent-induced chemical shifts ; Chemistry ; Analytical Chemistry and Spectroscopy
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Chemie und Pharmazie
    Notizen: Complete signal assignments of high-field 1H NMR spectra for 3-halosubstituted camphors (endo and exo) are presented, allowing a refinement of a previous analysis for the chloro (endo and exo) and bromo (endo) derivatives. In addition, still unpublished data for the dichloro and exo-fluoro derivatives and for three new compounds (endo-fluoro, endo- and exo-iodo), in addition to a revised assignment of the camphor parent molecule, are reported. The precise substituent-induced chemical shifts (SCS) obtained for these difunctional systems are examined on the basis of well known transmission mechanisms aided by correlations with steric and electronic parameters, and taking into account SCS data from monohaloalkanes and the calculated molecular geometry data (using the AM1 method).
    Zusätzliches Material: 2 Ill.
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    facet.materialart.
    Unbekannt
    American Physical Society (APS)
    Publikationsdatum: 2017-08-15
    Beschreibung: Author(s): Benjamin Basso and Lance J. Dixon We use integrability at weak coupling to compute fishnet diagrams for four-point correlation functions in planar ϕ 4 theory. The results are always multilinear combinations of ladder integrals, which are in turn built out of classical polylogarithms. The Steinmann relations provide a powerful constra... [Phys. Rev. Lett. 119, 071601] Published Mon Aug 14, 2017
    Schlagwort(e): Elementary Particles and Fields
    Print ISSN: 0031-9007
    Digitale ISSN: 1079-7114
    Thema: Physik
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  • 5
    Publikationsdatum: 2013-08-31
    Beschreibung: Author(s): Benjamin Basso, Amit Sever, and Pedro Vieira We propose a nonperturbative formulation of planar scattering amplitudes in N =4 supersymmetric Yang-Mills theory, or, equivalently, polygonal Wilson loops. The construction is based on the operator product expansion approach and introduces a new decomposition of the Wilson loop in terms of fundament... [Phys. Rev. Lett. 111, 091602] Published Fri Aug 30, 2013
    Schlagwort(e): Elementary Particles and Fields
    Print ISSN: 0031-9007
    Digitale ISSN: 1079-7114
    Thema: Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 6
    Publikationsdatum: 2015-01-01
    Beschreibung: Author(s): Benjamin Basso, Amit Sever, and Pedro Vieira In this Letter, we consider the collinear limit of gluon scattering amplitudes in planar N =4 super-Yang-Mills theory at strong coupling. We argue that in this limit scattering amplitudes map into correlators of twist fields in the two dimensional nonlinear O(6) sigma model, similar to those appearin... [Phys. Rev. Lett. 113, 261604] Published Wed Dec 31, 2014
    Schlagwort(e): Elementary Particles and Fields
    Print ISSN: 0031-9007
    Digitale ISSN: 1079-7114
    Thema: Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 7
    Publikationsdatum: 2019-07-13
    Beschreibung: Crop models of crop growth are increasingly used to quantify the impact of global changes due to climate or crop management. Therefore, accuracy of simulation results is a major concern. Studies with ensembles of crop model scan give valuable information about model accuracy and uncertainty, but such studies are difficult to organize and have only recently begun. We report on the largest ensemble study to date, of 27 wheat models tested in four contrasting locations for their accuracy in simulating multiple crop growth and yield variables. The relative error averaged over models was 2438 for the different end-of-season variables including grain yield (GY) and grain protein concentration (GPC). There was little relation between error of a model for GY or GPC and error for in-season variables. Thus, most models did not arrive at accurate simulations of GY and GPC by accurately simulating preceding growth dynamics. Ensemble simulations, taking either the mean (e-mean) or median (e-median) of simulated values, gave better estimates than any individual model when all variables were considered. Compared to individual models, e-median ranked first in simulating measured GY and third in GPC. The error of e-mean and e-median declined with an increasing number of ensemble members, with little decrease beyond 10 models. We conclude that multimodel ensembles can be used to create new estimators with improved accuracy and consistency in simulating growth dynamics. We argue that these results are applicable to other crop species, and hypothesize that they apply more generally to ecological system models.
    Schlagwort(e): Meteorology and Climatology; Earth Resources and Remote Sensing
    Materialart: GSFC-E-DAA-TN28990 , Global Change Biology; 21; 2; 911-925
    Format: text
    Standort Signatur Erwartet Verfügbarkeit
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  • 8
    Publikationsdatum: 2019-07-13
    Beschreibung: AgMIP (www.agmip.org) is an international community of climate, crop, livestock, economics, and IT experts working to further the development and application of multi-model, multi-scale, multi-disciplinary agricultural models that can inform policy and decision makers around the world. This meeting will engage the AGU community by providing a brief overview of AgMIP, in particular its new plans for a Coordinated Global and Regional Assessment of climate change impacts on agriculture and food security for AR6. This Town Hall will help identify opportunities for participants to become involved in AgMIP and its 30+ activities.
    Schlagwort(e): Meteorology and Climatology; Earth Resources and Remote Sensing
    Materialart: GSFC-E-DAA-TN28978 , AGU Fall Meeting 2015; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
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  • 9
    Publikationsdatum: 2019-07-13
    Beschreibung: Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to compare their sensitivity to changes in temperature (minus 2 to plus 9 degrees Centigrade) and precipitation (minus 50 to plus 50 percent). Model results were analysed by plotting them as impact response surfaces (IRSs), classifying the IRS patterns of individual model simulations, describing these classes and analysing factors that may explain the major differences in model responses. The model ensemble was used to simulate yields of winter and spring wheat at four sites in Finland, Germany and Spain. Results were plotted as IRSs that show changes in yields relative to the baseline with respect to temperature and precipitation. IRSs of 30-year means and selected extreme years were classified using two approaches describing their pattern. The expert diagnostic approach (EDA) combines two aspects of IRS patterns: location of the maximum yield (nine classes) and strength of the yield response with respect to climate (four classes), resulting in a total of 36 combined classes defined using criteria pre-specified by experts. The statistical diagnostic approach (SDA) groups IRSs by comparing their pattern and magnitude, without attempting to interpret these features. It applies a hierarchical clustering method, grouping response patterns using a distance metric that combines the spatial correlation and Euclidian distance between IRS pairs. The two approaches were used to investigate whether different patterns of yield response could be related to different properties of the crop models, specifically their genealogy, calibration and process description. Although no single model property across a large model ensemble was found to explain the integrated yield response to temperature and precipitation perturbations, the application of the EDA and SDA approaches revealed their capability to distinguish: (i) stronger yield responses to precipitation for winter wheat than spring wheat; (ii) differing strengths of response to climate changes for years with anomalous weather conditions compared to period-average conditions; (iii) the influence of site conditions on yield patterns; (iv) similarities in IRS patterns among models with related genealogy; (v) similarities in IRS patterns for models with simpler process descriptions of root growth and water uptake compared to those with more complex descriptions; and (vi) a closer correspondence of IRS patterns in models using partitioning schemes to represent yield formation than in those using a harvest index. Such results can inform future crop modelling studies that seek to exploit the diversity of multi-model ensembles, by distinguishing ensemble members that span a wide range of responses as well as those that display implausible behaviour or strong mutual similarities.
    Schlagwort(e): Meteorology and Climatology; Earth Resources and Remote Sensing
    Materialart: GSFC-E-DAA-TN46910 , Agricultural Systems (ISSN 0308-521X)
    Format: text
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  • 10
    Publikationsdatum: 2019-07-13
    Beschreibung: Projections of climate change impacts on crop yields are inherently uncertain1. Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate2. However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop simulation models1,3 are difficult4. Here we present the largest standardized model intercomparison for climate change impacts so far. We found that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient. However, simulated climate change impacts vary across models owing to differences in model structures and parameter values. A greater proportion of the uncertainty in climate change impact projections was due to variations among crop models than to variations among downscaled general circulation models. Uncertainties in simulated impacts increased with CO2 concentrations and associated warming. These impact uncertainties can be reduced by improving temperature and CO2 relationships in models and better quantified through use of multi-model ensembles. Less uncertainty in describing how climate change may affect agricultural productivity will aid adaptation strategy development and policymaking.
    Schlagwort(e): Meteorology and Climatology; Earth Resources and Remote Sensing
    Materialart: GSFC-E-DAA-TN14953 , Nature Climate Change; 3; 827-832
    Format: application/pdf
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