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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... |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78832/81119.pdf |
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| Zscheischler, Jakob; Mahecha, Miguel D.; Avitabile, Valerio; Calle, Leonardo; Carvalhais, Nuno; Ciais, Philippe; Gans, Fabian; Gruber, Nicolas; Hartmann, Jens; Herold, Martin; Ichii, Kazuhito; Jung, Martin; Landschuetzer, Peter; Laruelle, Goulven G.; Lauerwald, Ronny; Papale, Dario; Peylin, Philippe; Poulter, Benjamin; Ray, Deepak; Regnier, Pierre; Roedenbeck, Christian; Roman-cuesta, Rosa M.; Schwalm, Christopher; Tramontana, Gianluca; Tyukavina, Alexandra; Valentini, Riccardo; Van Der Werf, Guido; West, Tristram O.; Wolf, Julie E.; Reichstein, Markus. |
| Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface-atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface-atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data... |
| Tipo: Text |
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| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00661/77322/78795.pdf |
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