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  • Meteorology and Climatology; Earth Resources and Remote Sensing  (2)
  • Iron Compounds/*chemistry  (1)
  • 2015-2019  (3)
  • 1935-1939
  • 2015  (3)
  • 1
    facet.materialart.
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    Biochemistry: Breaking methane (2015)
    Nature Publishing Group (NPG)
    Details
    Publikationsdatum: 2015-01-22
    Beschreibung: 〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336217/" 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/PMC4336217/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rosenzweig, Amy C -- P30 CA060553/CA/NCI NIH HHS/ -- R01 GM070473/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Feb 19;518(7539):309-10. doi: 10.1038/nature14199. Epub 2015 Jan 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Molecular Biosciences and of Chemistry, Northwestern University, Evanston, Illinois 60208, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25607367" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Iron Compounds/*chemistry ; Methane/*chemistry/*metabolism ; Methanol/*chemistry/*metabolism ; Oxygenases/*metabolism
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Publiziert von Nature Publishing Group (NPG)
    Standort Signatur Erwartet Verfügbarkeit
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    AKTUELLE ARTIKEL
  • 2
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    Multimodel Ensembles of Wheat Growth: Many Models are Better than One (2015)
    In:  Other Sources
    Details
    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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    NASA TECHNICAL REPORTS
  • 3
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    The Agricultural Model Intercomparison and Improvement Project (AgMIP) Town Hall (2015)
    In:  CASI
    Details
    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
    Standort Signatur Erwartet Verfügbarkeit
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