Publicação
Using data assimilation in mesoscale numerical modeling to map offshore wind resource
| Resumo: | data from GHRSST Level 4 analysis have been ingested to an atmospheric mesoscale numerical model using a Newtonian relaxation assimilation technique. The mesoscale model WRF was used to map the wind resource at 90 m a.g.l. for the North Sea area. A model domain with a spatial resolution of 20x20 km was used to simulate a winter and a summer month, November 2008 and July 2009. The modeled wind results have been validated against observational data from the anemometric mast FINO1. A spatial improvement of the average wind field at 90 m a.g.l. from the observational data has been assessed. Each assimilated data source has shown a distinct impact. The QS assimilation had higher impact during the summer period while the SST assimilation during the winter period. Improvements of 5% and more were obtained from using data assimilation on the overall domain. Validation with the FINO1 anemometric mast shows improvements on the average vertical wind profile while error statistical parameters were only slightly improved. |
|---|---|
| Autores principais: | Fernandes, Miguel |
| Outros Autores: | Costa, Paula Silva; Simões, Teresa; Estanqueiro, Ana |
| Assunto: | Offshore wind resource Mesoscale model WRF |
| Ano: | 2012 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Laboratório Nacional de Energia e Geologia, I.P. |
| Idioma: | inglês |
| Origem: | Repositório do LNEG |
| _version_ | 1877767952796745728 |
|---|---|
| author | Fernandes, Miguel |
| author2 | Costa, Paula Silva Simões, Teresa Estanqueiro, Ana |
| author2_role | author author author |
| author_facet | Fernandes, Miguel Costa, Paula Silva Simões, Teresa Estanqueiro, Ana |
| author_role | author |
| contributor_name_str_mv | Repositório do LNEG |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Fernandes, Miguel\"},{\"Person.name\":\"Costa, Paula Silva\"},{\"Person.name\":\"Simões, Teresa\",\"Person.identifier.cienciaID\":\"F21A-5706-0C78\",\"Person.identifier.orcid\":\"0000-0003-3325-4085\",\"Person.identifier.researcherID\":\"H-7821-2018\",\"Person.identifier.scopusAuthorID\":\"34882158000\"},{\"Person.name\":\"Estanqueiro, Ana\",\"Person.identifier.cienciaID\":\"7F11-A24D-EE81\",\"Person.identifier.orcid\":\"0000-0002-0476-2526\",\"Person.identifier.researcherID\":\"J-9752-2012\",\"Person.identifier.researcherID\":\"J-9752-2012\",\"Person.identifier.scopusAuthorID\":\"19336967700\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório do LNEG |
| datacite.creators.creator.creatorName.fl_str_mv | Fernandes, Miguel Costa, Paula Silva Simões, Teresa Estanqueiro, Ana |
| datacite.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2013-05-30T16:25:00Z |
| datacite.date.embargoed.fl_str_mv | 2013-05-30T16:25:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Offshore wind resource Mesoscale model WRF |
| datacite.titles.title.fl_str_mv | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| dc.contributor.none.fl_str_mv | Repositório do LNEG |
| dc.creator.none.fl_str_mv | Fernandes, Miguel Costa, Paula Silva Simões, Teresa Estanqueiro, Ana |
| dc.date.Accepted.fl_str_mv | 2012-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2013-05-30T16:25:00Z |
| dc.date.embargoed.fl_str_mv | 2013-05-30T16:25:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.9/1887 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Offshore wind resource Mesoscale model WRF |
| dc.title.fl_str_mv | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_c94f |
| description | data from GHRSST Level 4 analysis have been ingested to an atmospheric mesoscale numerical model using a Newtonian relaxation assimilation technique. The mesoscale model WRF was used to map the wind resource at 90 m a.g.l. for the North Sea area. A model domain with a spatial resolution of 20x20 km was used to simulate a winter and a summer month, November 2008 and July 2009. The modeled wind results have been validated against observational data from the anemometric mast FINO1. A spatial improvement of the average wind field at 90 m a.g.l. from the observational data has been assessed. Each assimilated data source has shown a distinct impact. The QS assimilation had higher impact during the summer period while the SST assimilation during the winter period. Improvements of 5% and more were obtained from using data assimilation on the overall domain. Validation with the FINO1 anemometric mast shows improvements on the average vertical wind profile while error statistical parameters were only slightly improved. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| fulltext.url.fl_str_mv | https://repositorio.lneg.pt/bitstreams/12de942f-2047-4dc6-8184-bf5a17f2f46a/download |
| id | rlneg_57f8d2a78d75f3c612a16f6af7d2255d |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.9/1887 |
| inst_facet_str | urn:organizationAcronym:rlneg{{{_:::_}}}Laboratório Nacional de Energia e Geologia, I.P. |
| instacron_str | rlneg |
| institution | Laboratório Nacional de Energia e Geologia, I.P. |
| instname_str | Laboratório Nacional de Energia e Geologia, I.P. |
| language | eng |
| network_acronym_str | rlneg |
| network_name_str | Repositório do LNEG |
| oai_identifier_str | oai:repositorio.lneg.pt:10400.9/1887 |
| organization_str_mv | urn:organizationAcronym:rlneg |
| person_str_mv | Fernandes, Miguel Costa, Paula Silva Simões, Teresa Simões, Teresa https://www.ciencia-id.pt/F21A-5706-0C78 F21A-5706-0C78 http://orcid.org/0000-0003-3325-4085 0000-0003-3325-4085 Estanqueiro, Ana Estanqueiro, Ana https://www.ciencia-id.pt/7F11-A24D-EE81 7F11-A24D-EE81 http://orcid.org/0000-0002-0476-2526 0000-0002-0476-2526 |
| publishDate | 2012 |
| repo_facet_str | urn:repositoryAcronym:rlneg{{{_:::_}}}Repositório do LNEG |
| reponame_str | Repositório do LNEG |
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| spelling | engpordata from GHRSST Level 4 analysis have been ingested to an atmospheric mesoscale numerical model using a Newtonian relaxation assimilation technique. The mesoscale model WRF was used to map the wind resource at 90 m a.g.l. for the North Sea area. A model domain with a spatial resolution of 20x20 km was used to simulate a winter and a summer month, November 2008 and July 2009. The modeled wind results have been validated against observational data from the anemometric mast FINO1. A spatial improvement of the average wind field at 90 m a.g.l. from the observational data has been assessed. Each assimilated data source has shown a distinct impact. The QS assimilation had higher impact during the summer period while the SST assimilation during the winter period. Improvements of 5% and more were obtained from using data assimilation on the overall domain. Validation with the FINO1 anemometric mast shows improvements on the average vertical wind profile while error statistical parameters were only slightly improved.application/pdfporUsing data assimilation in mesoscale numerical modeling to map offshore wind resourceFernandes, MiguelCosta, Paula SilvaPersonalSimões, TeresaDSpacehttp://dspace.org/items/f164d252-dde5-4894-b948-f35d383ea022DSpacehttp://dspace.org/items/f164d252-dde5-4894-b948-f35d383ea022SimõesTeresaCiência IDhttps://www.ciencia-id.ptF21A-5706-0C78ORCIDhttp://orcid.org0000-0003-3325-4085Researcher IDhttps://www.researcherid.comH-7821-2018Scopus Author IDhttps://www.scopus.com34882158000PersonalEstanqueiro, AnaDSpacehttp://dspace.org/items/20aa31b3-fa3c-42b7-82a4-e6b91c017f9cDSpacehttp://dspace.org/items/20aa31b3-fa3c-42b7-82a4-e6b91c017f9cEstanqueiroAnaCiência IDhttps://www.ciencia-id.pt7F11-A24D-EE81ORCIDhttp://orcid.org0000-0002-0476-2526Researcher IDhttps://www.researcherid.comJ-9752-2012Researcher IDhttps://www.researcherid.comJ-9752-2012Scopus Author IDhttps://www.scopus.com19336967700HostingInstitutionOrganizationalRepositório do LNEGe-mailmailto:repositorio@lneg.ptrepositorio@lneg.pt2013-05-30T16:25:00Z20122012-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.9/1887http://purl.org/coar/access_right/c_abf2open accessOffshore wind resourceMesoscale model WRF1327780 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference objecthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.lneg.pt/bitstreams/12de942f-2047-4dc6-8184-bf5a17f2f46a/download7th European Seminar OWEMES 2012 - Offshore Wind and other Marine Renewable Energies in Mediterranean and European SeaRome, Italy |
| spellingShingle | Using data assimilation in mesoscale numerical modeling to map offshore wind resource Fernandes, Miguel Offshore wind resource Mesoscale model WRF |
| status | SINGLETON |
| subject.fl_str_mv | Offshore wind resource Mesoscale model WRF |
| title | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| title_full | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| title_fullStr | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| title_full_unstemmed | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| title_short | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| title_sort | Using data assimilation in mesoscale numerical modeling to map offshore wind resource |
| topic | Offshore wind resource Mesoscale model WRF |
| topic_facet | Offshore wind resource Mesoscale model WRF |
| url | http://hdl.handle.net/10400.9/1887 |
| visible | 1 |
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