|
Kersebaum, C., Bindi, M., & Olesen, J. E. A. T., M. (2013). WP 1/WP2 Data sharing and handling policy..
|
|
|
Kersebaum, C., & Bindi, M. (2013). Progress report WP1 Model inter-comparison and improvement..
|
|
|
Ferrise, R., Moriondo, M., Pasqui, M., Toscano, P., Semenov, M. A., & Bindi, M. (2014). Using seasonal forecasts for predicting durum wheat yield over the Mediterranean Basin..
|
|
|
Ewert, F., van Bussel, L. G. J., Zhao, G., Hoffmann, H., Gaiser, T., Specka, X., et al. (2015). Uncertainties in Scaling up Crop Models for Large Area Climate-change Impact Assessments. In C. Rosenzweig, & D. Hillel (Eds.), (pp. 261–277). Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments — Joint Publication with American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America (In 2 Parts), ICP Series on Climate Change Impacts, Adaptation, . London: Imperial College Press.
|
|
|
Bindi, M. (2013). Identification of most important cropping systems and available models (Vol. 1).
Abstract: For each region or agro-ecological zone in Europe the major cropping systems have been identified based on their cropping area. Next, for each of the selected cropping systems the most widely applied models that fulfil a number of criteria (including their documentation in peer reviewed publications; good user guides and documentation of code; source code available) have been identified. Some possible model comparisons have been hypothesized on the basis of cropping systems and model availability. No Label
|
|