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Author Bellocchi, G.; Rivington, M.; Acutis, M. url  openurl
  Title Protocol for model evaluation Type Report
  Year 2014 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 3 Issue Pages D-L2.2/D  
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  Abstract (down) This deliverable focuses on the development of methods for model evaluation in order to have unambiguous indications derived from the use of several evaluation metrics. The information about model quality is aggregated into a single indicator using a fuzzy expert system that can be applied to a wide range of model estimates where suitable test data are available. This is a cross-cutting activity between CropM (C1.4) and LiveM (L2.2). No Label  
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  Call Number MA @ admin @ Serial 2229  
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Author Bellocchi, G.; Ma, S.; Köchy, M.; Braunmiller, K. url  openurl
  Title Datasets classification and criteria for data requirements Type Report
  Year 2013 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 2 Issue Pages D-L2.1.2  
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  Abstract (down) This deliverable focuses on the collation, screening, and consolidation of data for selected grassland sites in Europe and peri-Mediterranean regions. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2245  
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Author Bellocchi, G.; Sándor, R. url  openurl
  Title Model intercomparison Type Report
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 6 Issue Pages D-L2.4  
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  Abstract (down) This deliverable focuses on some illustrative results obtained with different grassland- specific, grassland adapted crop and dynamic vegetation models selected out of the first list of models compiled in D-L2.1.1 to simulate biomass and flux data from grassland sites in Europe and peri-Mediterranean regions (D-L2.1.1 and D-L2.1.2). Results from uncalibrated simulations were documented in the D-L2.3 report as a blind exercise. Some model improvements are emphasized in this report due to the higher information level of the model calibrations. The complete set of results will include simulations from uncalibrated and calibrated models. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2108  
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Author Sharif, B.; Mankowski, D.; Kersebaum, K.C.; Trnka, M.; Schelde, K.; Olsesen, J.E. url  openurl
  Title Empirical analysis on crop-weather relationships Type Report
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 6 Issue Pages D-C2.5  
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  Abstract (down) There have been several studies, where process-based crop models are developed, used and compared in order to project crop production and corresponding model uncertainties under climate change. Despite many advances in this field, there are some correlations between climate variables and crop growth, such as pest and diseases, that is often absent in process-based models. Such relationships can be simulated using empirical models. In this study, several statistical techniques were applied on winter oilseed rape data collected in some European countries. The empirical models were then used to predict yield of winter oilseed rape in the field experiments during more than 20 years, up to 2013. Results suggest that newly developed regression techniques such as shrinkage methods work well both in yield projections and finding the influential climatic variables. Many of regression techniques agree in terms of yield prediction; however, choice of significant climate variables is rather sensitive to the choice of regression technique. No Label  
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  Notes Approved no  
  Call Number MA @ admin @ Serial 2092  
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Author Schils, R. url  openurl
  Title Online maps of Yield Gaps of cereals across Europe Type Report
  Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 10 Issue Pages Xc9.1-D2  
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  Abstract (down) The yield gap and water productivity analysis of key cereal crops in Europe is completed  and results are available through www.yieldgap.org  
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  Notes XC, CropM Approved no  
  Call Number MA @ admin @ Serial 4961  
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