dc.contributor.author | Byrne, David | |
dc.contributor.author | Polton, Jeff | |
dc.contributor.author | Bell, Colin | |
dc.date.accessioned | 2022-03-31T15:43:45Z | |
dc.date.available | 2022-03-31T15:43:45Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Byrne, D., Polton, J. and Bell, C. (2021) Creation of a global tide analysis
dataset: Application of NEMO and an offline objective analysis scheme, Journal of Operational
Oceanography, DOI: 10.1080/1755876X.2021.2000249 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/1904 | |
dc.description.abstract | The accurate prediction of tides is vital for the operation of many industries, early warning of
coastal flooding and scientific understanding of ocean processes. In this paper, we describe the
creation method of a global dataset of tidal harmonics using NEMO (Nucleus for European
Modelling of the Ocean) for the first time and an offline objective analysis scheme. Data are
assimilated as part of a post-processing step, reducing the computational resources required. A
reduced ensemble of tidal harmonics is generated, where each member is run for a shorter
period of time than a central background state. This ensemble is used to estimate a single
background covariance state, which is used for analysis. Output is validated using an ensemble
of objective analyses. For each ensemble member, random selections of observations are
omitted and validation is performed at these locations. Improvements in both Mean Absolute
Error (MAE) and correlation coefficients (R2) are seen across all 6 of the largest diurnal and semidiurnal
constituents. MAEs in amplitude and phase are reduced by up to 78% and 89%,
respectively, and correlations by as much as 0.14. In addition, the majority of locations (between
70 and 80%) see significant improvement. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.other | Nucleus for European Modelling of the Ocean (NEMO) | en_US |
dc.subject.other | Ocean modelling | en_US |
dc.subject.other | Tidal harmonics | en_US |
dc.title | Creation of a global tide analysis dataset: Application of NEMO and an offline objective analysis scheme. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 15pp. | en_US |
dc.identifier.doi | 10.1080/1755876X.2021.2000249 | |
dc.subject.parameterDiscipline | Sea level | en_US |
dc.subject.dmProcesses | Data analysis | en_US |
dc.subject.dmProcesses | Data processing | en_US |
dc.bibliographicCitation.title | Journal of Operational Oceanography | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.eov | Sea surface height | en_US |
dc.description.maturitylevel | Pilot and Demonstrated | |
dc.description.adoption | Novel (no adoption outside originators) | en_US |
dc.description.methodologyType | Method | en_US |
dc.description.methodologyType | Reports with methodological relevance | en_US |
obps.contact.contactname | David Byrne | |
obps.contact.contactemail | dbyrne@noc.ac.uk | |
obps.resourceurl.publisher | https://www.tandfonline.com/doi/full/10.1080/1755876X.2021.2000249 | |