A multi-approach strategy in climate attribution studies: is it possible to apply a robustness framework? (Articolo in rivista)

Type
Label
  • A multi-approach strategy in climate attribution studies: is it possible to apply a robustness framework? (Articolo in rivista) (literal)
Anno
  • 2015-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.envsci.2015.02.018 (literal)
Alternative label
  • Antonello Pasini (1); Fulvio Mazzocchi (2) (2015)
    A multi-approach strategy in climate attribution studies: is it possible to apply a robustness framework?
    in Environmental science & policy
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Antonello Pasini (1); Fulvio Mazzocchi (2) (literal)
Pagina inizio
  • 191 (literal)
Pagina fine
  • 199 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Available online 22 March 2015. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S1462901115000490 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 50 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • June (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) CNR, Institute of Atmospheric Pollution Research, Via Salaria Km 29,300, I-00015 Monterotondo St., Rome, Italy (2) CNR, Institute for Complex Systems, Via Salaria Km 29,300, I-00015 Monterotondo St., Rome, Italy (literal)
Titolo
  • A multi-approach strategy in climate attribution studies: is it possible to apply a robustness framework? (literal)
Abstract
  • Attribution studies investigate the causes of recent global warming. For a few decades the scientific community generally adopted dynamical models - the so-called Global Climate Models (GCMs) - for such an investigation. These models show the essential role of anthropogenic forcings in driving the temperature behaviour of the last half century. In the last period even other (data-driven) methodological approaches were adopted for attribution studies. This allows the scientific community to compare the results coming from these different approaches and to possibly increase their robustness. For such a purpose, the paper explores the possibility of applying a robustness framework, so far used only in the case of multi-model GCM ensembles, to a strategy including models from different methodological orientations, assessing such an application especially in the light of the independence issue. (literal)
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