Exploració per autor "Acosta Navarro, Juan Camilo"
Ara es mostren els items 1-8 de 8
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Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions
Acosta Navarro, Juan Camilo; García Serrano, Javier; Lapin, Vladimir; Ortega Montilla, Pablo (IOP Publishing, 2022)
Article
Accés obertPrediction skill of continental climate in the Northern Hemisphere (NH) midlatitudes is generally limited throughout the year in dynamical seasonal forecast systems. Such limitations narrow the range of possible applications ... -
An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth
Cruz-García, Rubén; Ortega Montilla, Pablo; Guemas, Virginie; Acosta Navarro, Juan Camilo; Massonnet, François; Doblas-Reyes, Francisco (Springer Link, 2021)
Article
Accés obertThe quality of initial conditions (ICs) in climate predictions controls the level of skill. Both the use of the latest high-quality observations and of the most efficient assimilation method are of paramount importance. ... -
Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth
Bilbao, Roberto; Wild, Simon; Ortega Montilla, Pablo; Acosta Navarro, Juan Camilo; Arsouze, Thomas; Bretonnière, Pierre-Antoine; Caron, Louis-Philippe; Castrillo, Miguel; Cruz García, Rubén; Cvijanovic, Ivana; Doblas-Reyes, Francisco; Donat, Markus; Dutra, Emanuel; Echevarria, Pablo; Ho, An-Chi; Loosveldt-Tomas, Saskia; Moreno Chamarro, Eduardo; Pérez-Zanón, Núria; Ramos, Arthur; Ruprich-Robert, Yohan; Sicardi, Valentina; Tourigny, Etienne; Vegas-Regidor, Javier (Copernicus Publications, 2021)
Article
Accés obertIn this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully ... -
Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE
Ortega Montilla, Pablo; Blockley, Edward W.; Køltzow, Morten; Massonnet, François; Sandu, Irina; Svensson, Gunilla; Acosta Navarro, Juan Camilo; Cruz García, Rubén; Moreno Chamarro, Eduardo; Pérez Montero, Sergio (2022-10)
Article
Accés obertThe Arctic environment is changing, increasing the vulnerability of local communities and ecosystems, and impacting its socio-economic landscape. In this context, weather and climate prediction systems can be powerful tools ... -
Link between autumnal Arctic Sea ice and Northern Hemisphere winter forecast skill
Acosta Navarro, Juan Camilo; Ortega, Pablo; Batté, Lauriane; Smith, Doug; Bretonnière, Pierre-Antoine; Guemas, Virginie; Massonnet, François; Sicardi, Valentina; Torralba, Veronica; Tourigny, Etienne; Doblas-Reyes, Francisco (American Geophysical Union (AGU), 2020-02-28)
Article
Accés obertDynamical forecast systems have low to moderate skill in continental winter predictions in the extratropics. Here we assess the multimodel predictive skill over Northern Hemisphere high latitudes and midlatitudes using ... -
Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts
Batté, Laurianne; Välisuo, Ilona; Chevallier, Matthieu; Acosta Navarro, Juan Camilo; Ortega Montilla, Pablo; Smith, Doug (Springer Link, 2020)
Article
Accés obertIn this study, the forecast quality of 1993–2014 summer seasonal predictions of five global coupled models, of which three are operational seasonal forecasting systems contributing to the Copernicus Climate Change Service ... -
The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects
Sandu, Irina; Massonnet, François; Van Achter, Guillian; Acosta Navarro, Juan Camilo; Arduini, Gabriele; Bauer, Peter; Blockley, Ed; Bormann, Niels; Chevallier, Matthieu; Day, Jonathan; Dahoui, Mohamed; Fichefet, Thierry; Flocco, Daniela; Jung, Thomas; Hawkins, Ed; Moreno Chamarro, Eduardo; Ortega Montilla, Pablo (2021-10)
Article
Accés obertNumerical systems used for weather and climate predictions have substantially improved over past decades. We argue that despite a continued need for further addressing remaining limitations of their key components, numerical ... -
Using EC-Earth for climate prediction research
Doblas Reyes, Francisco; Acosta Navarro, Juan Camilo; Acosta Cobos, Mario César; Bellprat, Omar; Bilbao, Roberto; Castrillo Melguizo, Miguel; Fuckar, Neven; Guemas, Virginie; Lledó Ponsati, Llorenç; Menegoz, Martín; Prodhomme, Chloe; Serradell Maronda, Kim; Tintó Prims, Oriol; Batté, Lauriane; Volpi, Danila; Ceglar, Andrej; Haarsma, Rein; Massonnet, François (European Centre for Medium-Range Weather Forecasts (ECMWF), 2018)
Article
Accés obertClimate prediction at the subseasonal to interannual time range is now performed routinely and operationally by an increasing number of institutions. The feasibility of climate prediction largely depends on the existence ...