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Eyring, Veronika; Bock, Lisa; Lauer, Axel; Righi, Mattia; Schlund, Manuel; Andela, Bouwe; Arnone, Enrico; Bellprat, Omar; Broetz, Bjorn; Caron, Louis-philippe; Carvalhais, Nuno; Cionni, Irene; Cortesi, Nicola; Crezee, Bas; Davin, Edouard L.; Davini, Paolo; Debeire, Kevin; De Mora, Lee; Deser, Clara; Docquier, David; Earnshaw, Paul; Ehbrecht, Carsten; Gier, Bettina K.; Gonzalez-reviriego, Nube; Goodman, Paul; Hagemann, Stefan; Hardiman, Steven; Hassler, Birgit; Hunter, Alasdair; Kadow, Christopher; Kindermann, Stephan; Koirala, Sujan; Koldunov, Nikolay; Lejeune, Quentin; Lembo, Valerio; Lovato, Tomas; Lucarini, Valerio; Massonnet, Francois; Mueller, Benjamin; Pandde, Amarjiit; Perez-zanon, Nuria; Phillips, Adam; Predoi, Valeriu; Russell, Joellen; Sellar, Alistair; Serva, Federico; Stacke, Tobias; Swaminathan, Ranjini; Torralba, Veronica; Vegas-regidor, Javier; Von Hardenberg, Jost; Weigel, Katja; Zimmermann, Klaus. |
The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine evaluation of Earth system models (ESMs) participating in the Coupled Model Intercomparison Project (CMIP). It has undergone rapid development since the first release in 2016 and is now a well-tested tool that provides end-to-end provenance tracking to ensure reproducibility. It consists of (1) an easy-to-install, well-documented Python package providing the core functionalities (ESMValCore) that performs common preprocessing operations and (2) a diagnostic part that includes tailored diagnostics and performance metrics for specific scientific applications. Here we describe large-scale diagnostics of the... |
Tipo: Text |
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Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78832/81119.pdf |
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Hirschi, Joel J. M.; Barnier, Bernard; Boning, Claus; Biastoch, Arne; Blaker, Adam T.; Coward, Andrew; Danilov, Sergey; Drijfhout, Sybren; Getzlaff, Klaus; Griffies, Steven M.; Hasumi, Hiroyasu; Hewitt, Helene; Iovino, Doroteaciro; Kawasaki, Takao; Kiss, Andrew E.; Koldunov, Nikolay; Marzocchi, Alice; Mecking, Jennifer, V; Moat, Ben; Molines, Jean-marc; Myers, Paul G.; Penduff, Thierry; Roberts, Malcolm; Treguier, Anne-marie; Sein, Dmitry, V; Sidorenko, Dimitry; Small, Justin; Spence, Paul; Thompson, Luanne; Weijer, Wilbert; Xu, Xiaobiao. |
The Atlantic meridional overturning circulation (AMOC) represents the zonally integrated stream function of meridional volume transport in the Atlantic Basin. The AMOC plays an important role in transporting heat meridionally in the climate system. Observations suggest a heat transport by the AMOC of 1.3 PW at 26 degrees N-a latitude which is close to where the Atlantic northward heat transport is thought to reach its maximum. This shapes the climate of the North Atlantic region as we know it today. In recent years there has been significant progress both in our ability to observe the AMOC in nature and to simulate it in numerical models. Most previous modeling investigations of the AMOC and its impact on climate have relied on models with horizontal... |
Tipo: Text |
Palavras-chave: Atlantic Meridional Overturning; High-resolution modeling; Mesoscale. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00657/76865/78146.pdf |
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