How Modelers Model: the Overlooked Social and Human Dimensions in Model Intercomparison Studies

[Image: see text] There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decis...

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Detalles Bibliográficos
Autores principales: Albanito, Fabrizio, McBey, David, Harrison, Matthew, Smith, Pete, Ehrhardt, Fiona, Bhatia, Arti, Bellocchi, Gianni, Brilli, Lorenzo, Carozzi, Marco, Christie, Karen, Doltra, Jordi, Dorich, Christopher, Doro, Luca, Grace, Peter, Grant, Brian, Léonard, Joël, Liebig, Mark, Ludemann, Cameron, Martin, Raphael, Meier, Elizabeth, Meyer, Rachelle, De Antoni Migliorati, Massimiliano, Myrgiotis, Vasileios, Recous, Sylvie, Sándor, Renáta, Snow, Val, Soussana, Jean-François, Smith, Ward N., Fitton, Nuala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494747/
https://www.ncbi.nlm.nih.gov/pubmed/36052879
http://dx.doi.org/10.1021/acs.est.2c02023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494747/
https://www.ncbi.nlm.nih.gov/pubmed/36052879
http://dx.doi.org/10.1021/acs.est.2c02023

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