A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/18282 |
Resumo: | Earth system modelling is currently playing an increasing role in weather forecasting and understanding climate change, however, the operation, deployment and development of numerical Earth system models are extremely demanding in terms of computational resources and human effort. Merging synergies has become a natural process by which national meteorological services assess and contribute to the development of such systems. With the advent of joining synergies at the national level, the second edition of the workshop on Numerical Weather Prediction in Portugal was promoted by the Portuguese Institute for the Sea and Atmosphere, I.P. (IPMA), in cooperation with several Portuguese Universities. The event was hosted by the University of Évora, during the period of 11–12 of November 2021. It was dedicated to surface–atmosphere interactions and allowed the exchange of experiences between experts, students and newcomers. The workshop provided a refreshed overview of ongoing research and development topics in Portugal on surface–atmosphere interaction modelling and its applications and an opportunity to revisit some of the concepts associated with this area of atmospheric sciences. This article reports on the main aspects discussed and offers guidance on the many technical and scientific modelling platforms currently under study. |
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A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactionsEarth system modellingEarth observationsNumerical weather predictionLand modellingSurface–atmosphere interactionsGlobal circulation modelsGlobal climate modelsLimited area modelsEarth system modelling is currently playing an increasing role in weather forecasting and understanding climate change, however, the operation, deployment and development of numerical Earth system models are extremely demanding in terms of computational resources and human effort. Merging synergies has become a natural process by which national meteorological services assess and contribute to the development of such systems. With the advent of joining synergies at the national level, the second edition of the workshop on Numerical Weather Prediction in Portugal was promoted by the Portuguese Institute for the Sea and Atmosphere, I.P. (IPMA), in cooperation with several Portuguese Universities. The event was hosted by the University of Évora, during the period of 11–12 of November 2021. It was dedicated to surface–atmosphere interactions and allowed the exchange of experiences between experts, students and newcomers. The workshop provided a refreshed overview of ongoing research and development topics in Portugal on surface–atmosphere interaction modelling and its applications and an opportunity to revisit some of the concepts associated with this area of atmospheric sciences. This article reports on the main aspects discussed and offers guidance on the many technical and scientific modelling platforms currently under study.MDPISapientiaMonteiro, Maria JoséCouto, Flavio T.Bernardino, MarianaCardoso, Rita M.Carvalho, DavidMartins, João P. A.Santos, João A.Luis Argain, JoseSalgado, Rui2022-09-22T12:25:49Z2022-08-252022-09-22T12:02:12Z2022-08-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/18282engAtmosphere 13 (9): 1356 (2022)10.3390/atmos130913562073-4433info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:30:31Zoai:sapientia.ualg.pt:10400.1/18282Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:08:05.187699Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
title |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
spellingShingle |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions Monteiro, Maria José Earth system modelling Earth observations Numerical weather prediction Land modelling Surface–atmosphere interactions Global circulation models Global climate models Limited area models |
title_short |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
title_full |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
title_fullStr |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
title_full_unstemmed |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
title_sort |
A review on the current Status of Numerical Weather Prediction in Portugal 2021: surface–atmosphere interactions |
author |
Monteiro, Maria José |
author_facet |
Monteiro, Maria José Couto, Flavio T. Bernardino, Mariana Cardoso, Rita M. Carvalho, David Martins, João P. A. Santos, João A. Luis Argain, Jose Salgado, Rui |
author_role |
author |
author2 |
Couto, Flavio T. Bernardino, Mariana Cardoso, Rita M. Carvalho, David Martins, João P. A. Santos, João A. Luis Argain, Jose Salgado, Rui |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Monteiro, Maria José Couto, Flavio T. Bernardino, Mariana Cardoso, Rita M. Carvalho, David Martins, João P. A. Santos, João A. Luis Argain, Jose Salgado, Rui |
dc.subject.por.fl_str_mv |
Earth system modelling Earth observations Numerical weather prediction Land modelling Surface–atmosphere interactions Global circulation models Global climate models Limited area models |
topic |
Earth system modelling Earth observations Numerical weather prediction Land modelling Surface–atmosphere interactions Global circulation models Global climate models Limited area models |
description |
Earth system modelling is currently playing an increasing role in weather forecasting and understanding climate change, however, the operation, deployment and development of numerical Earth system models are extremely demanding in terms of computational resources and human effort. Merging synergies has become a natural process by which national meteorological services assess and contribute to the development of such systems. With the advent of joining synergies at the national level, the second edition of the workshop on Numerical Weather Prediction in Portugal was promoted by the Portuguese Institute for the Sea and Atmosphere, I.P. (IPMA), in cooperation with several Portuguese Universities. The event was hosted by the University of Évora, during the period of 11–12 of November 2021. It was dedicated to surface–atmosphere interactions and allowed the exchange of experiences between experts, students and newcomers. The workshop provided a refreshed overview of ongoing research and development topics in Portugal on surface–atmosphere interaction modelling and its applications and an opportunity to revisit some of the concepts associated with this area of atmospheric sciences. This article reports on the main aspects discussed and offers guidance on the many technical and scientific modelling platforms currently under study. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-22T12:25:49Z 2022-08-25 2022-09-22T12:02:12Z 2022-08-25T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/18282 |
url |
http://hdl.handle.net/10400.1/18282 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Atmosphere 13 (9): 1356 (2022) 10.3390/atmos13091356 2073-4433 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133326481555456 |