4f4c4942-4343-5764-6473-313235363333 English 2026-01-07T17:32:04.077Z NRW 1.0 wel NONE Met Office Wave Height - Hindcast Extract (3rd Party Data) Met Office Wave Height - Hindcast Extract (3rd Party Data) 2020-12-31 EXT_DS125633 Met Office have developed a wave modelling to develop and maintain wave forecasts of sea state. These wave models have been used as a tool to predict the sea state and wave height which can then be applied to coastal overtopping and flooding. The forecast model for Wales has been developed from using three locations around the coastline of Wales (North, South and West). From these three locations, NRW have collected observed data and the following parameters are collected. The data stored in the archive consists of the following information: dir: Wave Mean Direction (degree) hs: Significant Wave Height (m) tm: Mean Period Tm01 (s) NRW have stored this information for all of the offshore locations in Wales for the period 2006 – 2020. Met Office have developed a wave modelling to develop and maintain wave forecasts of sea state. These wave models have been used as a tool to predict the sea state and wave height which can then be applied to coastal overtopping and flooding. The forecast model for Wales has been developed from using three locations around the coastline of Wales (North, South and West). From these three locations, NRW have collected observed data and the following parameters are collected. The data stored in the archive consists of the following information: dir: Wave Mean Direction (degree) hs: Significant Wave Height (m) tm: Mean Period Tm01 (s) NRW have stored this information for all of the offshore locations in Wales for the period 2006 – 2020. Met Office Met Office, FitzRoy Road, Exeter, Devon, EX1 3PB enquiries@metoffice.gov.uk http://www.metoffice.gov.uk Met Office Met Office, FitzRoy Road, Exeter, Devon, EX1 3PB enquiries@metoffice.gov.uk http://www.metoffice.gov.uk GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme 3rd Party Data Third Party Data wave COASTAL NRW Thesaurus 2025-01-08 geonetwork.thesaurus.local.theme.converted_nrw-keywords SeaDataNet Parameter Discovery Vocabulary 2024-06-19 geonetwork.thesaurus.external.theme.rdf+xml Flooding IPSV Subjects List 2020-11-18 geonetwork.thesaurus.external.theme.subjects NRW SMNR Keywords 2024-06-26 geonetwork.thesaurus.local.theme.converted_nrw-smnr-keywords This dataset is wholly owned by the Met Office and is for internal business use only. Enquirers are advised to obtain a copy from the owner directly, rather than NRW. NRW may NOT publish or disseminate it in its entirety. no limitations © Met Office. NRW does NOT grant permission to third parties to re-use or disseminate this dataset. Those seeking such permission should approach the owner directly. © Crown copyright [2006], Met Office Not Licenced for Re-use English SeaVoX Vertical Co-ordinate Coverages 2021-01-06 Wales (WLS) 2006-01-01 2020-12-31 https://wavenet.cefas.co.uk/hindcast Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 This dataset has not been assessed for conformance to the referenced INSPIRE regulation. false Met office Wave Model aims to represent how wind energy and other atmospheric process to determine how it influences the sea surface. This provides the forecaster information on how the energy is transferred to the sea surface and the formation of waves. Observational data can then be fed into the model and be used to forecast wave height and determine any risk present to coastal communities. Met office Wave Model aims to represent how wind energy and other atmospheric process to determine how it influences the sea surface. This provides the forecaster information on how the energy is transferred to the sea surface and the formation of waves. Observational data can then be fed into the model and be used to forecast wave height and determine any risk present to coastal communities.