[{"@context":"http:\/\/schema.org\/","@type":"Dataset","identifier":"https:\/\/doi.org\/10.17043\/moberg-2019-cesm-1","@id":"https:\/\/doi.org\/10.17043\/moberg-2019-cesm-1","name":"Simulated seasonal temperatures 850\u20132005 for the seven PAGES 2k regions derived from the CESM last millennium ensemble","description":"Simulated surface air temperature data derived from the Last Millennium Ensemble with the Community Earth System Model (CESM) version 1.1, for the period AD 850-2005, extracted and averaged over the seven continental-scale regions and seasons defined by the PAGES 2k Consortium. These regions (and seasons) are: North America (annual mean), Europe (June-August), Arctic (annual mean), Asia (June-August), South America (December-February), Australasia (September- February), Antarctica (annual mean). Simulated temperatures are available separately for each of following types of climate forcings: solar, orbital, volcanic, land-use, greenhouse gas, all forcings combined, and no forcing. The simulated data can be used, for example, for comparison with temperature reconstructions from proxy data, in order to study how different climate forcings may have affected past temperature variations.","url":"http:\/\/bolin.su.se\/data\/moberg-2019-cesm-1","keywords":["Atmosphere","Temperature","Climate model","Ensemble simulation","Last millennium","Temperature","Earth science > Atmosphere > Atmospheric temperature > Surface temperature"],"creator":{"@type":"Person","name":"Anders Moberg, Alistair Hind"},"citation":"Fetisova, E., Moberg, A., Brattstr\u00f6m, G. 2017: Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings: Part III. In: Fetisova, E. 2017: Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings. Doctoral thesis, Department of Mathematics, Stockholm University. http:\/\/su.diva-portal.org\/smash\/record.jsf?pid=diva2%3A1150197&dswid=9303","license":"https:\/\/opendatacommons.org\/licenses\/by\/","isAccessibleForFree":true,"includedInDataCatalog":{"@type":"DataCatalog","name":"Bolin Centre for Climate Research, Stockholm University","identifier":"https:\/\/bolin.su.se\/data\/","url":"https:\/\/bolin.su.se\/data\/"},"distribution":{"@type":"DataDownload","encodingFormat":"application\/zip","contentUrl":"https:\/\/bolin.su.se\/data\/uploads\/Lashgari-2019.zip"},"size":3735025,"isBasedOn":"Fetisova, E., Moberg, A., Brattstr\u00f6m, G. 2017: Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings: Part III. In: Fetisova, E. 2017: Towards a flexible statistical modelling by latent factors for evaluation of simulated responses to climate forcings. Doctoral thesis, Department of Mathematics, Stockholm University. http:\/\/su.diva-portal.org\/smash\/record.jsf?pid=diva2%3A1150197&dswid=9303","temporalCoverage":"\/"}]