publication . Conference object . Other literature type . 2019

No title available

Cruz-García, Rubén; Ortega, Pablo; Acosta Navarro, Juan C.; Massonnet, François; Doblas-Reyes, Francisco J.;
Open Access
  • Published: 26 Mar 2019
Abstract
<p>    Initialization is a key step when performing climate predictions, and for this the use of the latest high-quality observations and their assimilation in the model realm is of paramount importance. Less attention has been paid to other essential aspects of initialization that are equally important. For example, inconsistencies between the initial conditions (ICs) used for the different model components can cause important initialization shocks, hindering the prediction capacity during the first weeks of the forecast. In this study we investigate this and other different contributions to the forecast error in a seasonal prediction system with the EC-Earth g...
Subjects
free text keywords: Arctic, Sea ice, Forecast, Shock, Initialization, Bias, Medicine, Neuroscience, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified
Funded by
EC| APPLICATE
Project
APPLICATE
Advanced Prediction in Polar regions and beyond: Modelling, observing system design and LInkages associated with ArctiC ClimATE change
  • Funder: European Commission (EC)
  • Project Code: 727862
  • Funding stream: H2020 | RIA
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Conference object . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
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Conference object . 2019
Provider: FigShare
Zenodo
Other literature type . 2019
Provider: Datacite
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