Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation

Volume: 114, Pages: 33 - 44
Published: Jun 1, 2017
Abstract
Hydrographic profiles are crucial observational datasets for constraining ocean models and their vertical structure. In this study, we investigate a key implementation setup for optimising their assimilation into isopycnal ocean models. For this purpose, we use the Norwegian Climate Prediction Model (NorCPM), which is a fully-coupled climate prediction system based on the Norwegian Earth System Model and the ensemble Kalman filter. First, we...
Paper Details
Title
Optimising assimilation of hydrographic profiles into isopycnal ocean models with ensemble data assimilation
Published Date
Jun 1, 2017
Volume
114
Pages
33 - 44
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.