Blar i Department of Earth Science på forfatter "Capron, Emilie"

Viser treff 1-2 av 2

    • Large-scale features of Last Interglacial climate: results from evaluating the lig127k simulations for the Coupled Model Intercomparison Project (CMIP6)–Paleoclimate Modeling Intercomparison Project (PMIP4) 

      Otto-Bliesner, Bette L.; Brady, Esther C.; Zhao, Anni; Brierley, Chris M.; Axford, Yarrow; Capron, Emilie; Govin, Aline; Hoffman, Jeremy S.; Isaacs, Elizabeth; Kageyama, Masa; Scussolini, Paolo; Tzedakis, Polychronis C.; Williams, Charles J.R.; Wolff, Eric W.; Abe-Ouchi, Ayako; Braconnot, Pascale; Ramos Buarque, Silvana; Cao, Jian; de Vernal, Anne; Vittoria Guarino, Maria; Guo, Chuncheng; Legrande, Allegra N.; Lohmann, Gerrit; Meissner, Katrin J.; Menviel, Laurie; Morozova, Polina A.; Nisancioglu, Kerim H.; O'Ishi, Ryouta; Mélia, David Salas Y.; Shi, Xaoxu; Sicard, Marie; Sime, Louise C.; Stepanek, Christian; Tomas, Robert A.; Volodin, Evgeny; Yeung, Nicholas K.H.; Zhang, Qiong; Zhang, Zhongshi; Zheng, Weipeng (Journal article; Peer reviewed, 2021)
      The modeling of paleoclimate, using physically based tools, is increasingly seen as a strong out-of-sample test of the models that are used for the projection of future climate changes. New to the Coupled Model Intercomparison ...

    • PaCTS 1.0: a crowdsourced reporting standard for paleoclimate data 

      Khider, Deborah; Emile-Geay, Julien; McKay, Nicholas P.; Gil, Yolanda; Garijo, Daniel; Ratnakar, Varun; Alonso-Garcia, Montserrat; Bertrand, Sebastien; Bothe, Oliver; Brewer, Peter; Bunn, Andrew G.; Chevalier, Manuel; Comas-Bru, Laia; Csank, Adam; Dassié, Emilie; DeLong, Kristine L.; Felis, Thomas; Francus, Pierre; Frappier, Amy; Gray, William R.; Goring, Simon; Jonkers, Lukas; Kahle, Michael; Kaufman, Darrell S.; Kehrwald, Natalie M.; Martrat, Belen; McGregor, Helen V; Richey, Julie; Schmittner, Andreas; Scroxton, Nick; Sutherland, Elaine K.; Thirumalai, Kaustubh; Allen, Kathryn J.; Arnaud, Fabien; Axford, Yarrow; Barrows, Timothy T.; Bazin, Lucie; Pilaar Birch, Suzanne E.; Bradley, Elizabeth; Bregy, Joshua; Capron, Emilie; Cartapanis, Olivier; Chiang, Hong-Wei; Cobb, Kim M.; Debret, Maxime; Dommain, René; Du, Jianghui; Dyez, Kelsey A.; Emerick, Suellyn; Erb, Michael P.; Falster, Georgina; Finsinger, Walter; Fortier, Daniel; Gauthier, Nicholas; George, Steve; Grimm, Eric C.; Hertzberg, Jennifer; Hibbert, Fiona D.; Hillman, Aubrey; Hobbs, William R; Huber, Matthew; Hughes, Anna L.C.; Jaccard, Samuel L.; Ruan, Jiaoyang; Kienast, Markus; Konecky, Bronwen; Le Roux, Gael; Lyubchich, Vyacheslav; Novello, Valdir F.; Olaka, Lydia; Partin, Judson; Pearce, Christof; Phipps, Steven J.; Pignol, Cecile; Piotrowska, Natalia; Poli, Maria-Serena; Prokopenko, Alexander; Schwank, Franciele; Stepanek, Christian; Swann, George E.A.; Telford, Richard; Thomas, Elizabeth R.; Thomas, Zoe; Truebe, Sarah; Von Gunten, Lucien; Waite, Amanda J.; Weitzel, Nils; Wilhelm, Bruno; Williams, John W.; Williams, Joseph J.; Winstrup, Mai; Zhao, Ning; Zhou, Yuxin (Journal article; Peer reviewed, 2019-09)
      The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. ...