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Author Bellocchi, G.; Ehrhardt, F. url  openurl
  Title Collaborations with initiatives and projects outside MACSUR and AgMIP – Grassland & Livestock Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
  Abstract  
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  Corporate Author Thesis  
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  Area Expedition Conference (up) International Livestock Modelling and Research Colloquium, Bilbao, Spain, 2014-10-14 to 2014-10-16  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2306  
Permanent link to this record
 

 
Author Acutis, M.; Bellocchi, G. openurl 
  Title Briefing on CropM-LiveM model intercomparison protocol Type Conference Article
  Year 2013 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords CropM  
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  Corporate Author Thesis  
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  Area Expedition Conference (up) JPI FACCE MACSUR CropM and LiveM cross-cutting activity Helsinki, Finland, 2013-05-06 to 2013-05-06  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2272  
Permanent link to this record
 

 
Author Saetnan, E.; Kipling, P.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T.; van den Pol-van Dasselaar, A. openurl 
  Title MACSUR LiveM – a knowledge-hub for integrated modelling of climate change impacts on livestock production systems: lessons learned and future developments Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
  Abstract  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
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  Area Expedition Conference (up) Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2781  
Permanent link to this record
 

 
Author Ben Touhami, H.; Bellocchi, G. openurl 
  Title Bayesian calibration of the Pasture Simulation model (PaSim) to simulate emissions from long-term grassland sites: a European perspective Type Conference Article
  Year 2014 Publication Abbreviated Journal  
  Volume Issue Pages  
  Keywords LiveM  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference (up) Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2309  
Permanent link to this record
 

 
Author Bellocchi, G. url  openurl
  Title Fuzzy-logic based multi-site crop model evaluation Type
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 5 Issue Pages Sp5-5  
  Keywords  
  Abstract The most common way to evaluate simulation models is to quantify the agreement between observations and simulations via statistical metrics such as the root mean squared error and the linear regression coefficient of determination. It is agreed that the aggregation of metrics of different nature intro integrated indicators offers a valuable way to assess models. Expanded notions of model evaluation that have recently emerged, based on the trade-off between properties of the model and agreement between predictions and actual data under contrasting conditions, integrate sensitivity analysis measures and information criteria for model selection, as well as concepts of model robustness, and point to expert judgments to explore the importance of different metrics. As a FACCE MACSUR CropM-LiveM action, a composite indicator (MQIm: Model Quality Indicator for multi-site assessment) was elaborated, by a group of specialists, on metrics commonly used to evaluate crop models (with extension to grassland models) while also integrating aspects of model complexity and stability of performances. The indicator, based on fuzzy bounds applied to a set of weighed metrics, was first revised by a broader group of modellers and then assessed via questionnaire survey of scientists and end-users. We document a crop model evaluation in Europe and assess to what extent the MQIm reflects the main components of model quality and supports inferences about model performances. No Label  
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  Area Expedition Conference (up) MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2120  
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