The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned

This work describes a mountain meteorological network that was in operation from 1999 to 2014 in a mountain range with elevations ranging from 1104 to 2428 m in Central Spain. Additionally, some technical details of the network are described, as well as variables measured and some meta information p...

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Detalles Bibliográficos
Autores: Durán Montejano, Luis, Rodríguez-Muñoz, Irene, Sánchez, Enrique
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/94693
Acceso en línea:https://hdl.handle.net/20.500.14352/94693
Access Level:acceso abierto
Palabra clave:551.5
Mountain meteorology
Mountain climate
Weather observation
Data validation
Meteorología (Física)
2509 Meteorología
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oai_identifier_str oai:docta.ucm.es:20.500.14352/94693
network_acronym_str ES
network_name_str España
repository_id_str
spelling The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learnedDurán Montejano, LuisRodríguez-Muñoz, IreneSánchez, Enrique551.5Mountain meteorologyMountain climateWeather observationData validationMeteorología (Física)2509 MeteorologíaThis work describes a mountain meteorological network that was in operation from 1999 to 2014 in a mountain range with elevations ranging from 1104 to 2428 m in Central Spain. Additionally, some technical details of the network are described, as well as variables measured and some meta information presented, which is expected to be useful for future users of the observational database. A strong emphasis is made on showing the observational methods and protocols evolution, as it will help researchers to understand the sources of errors, data gaps and the final stage of the network. This paper summarizes mostly the common sources of errors when designing and operating a small network of this kind, so it can be useful for individual researchers and small size groups that undertake a similar task on their own. Strengths and weaknesses of some of the variables measured are discussed and some basic calculations are made in order to show the potential of the database and to anticipate future deeper climatological analyses over the area. Finally, the configuration of an automatic mountain meteorology station is suggested as a result of the lessons learned and the the common state of the art automatic measuring techniques.MDPIUniversidad Complutense de Madrid20172017-01-0120172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/94693reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/946932026-06-02T12:44:21Z
dc.title.none.fl_str_mv The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
title The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
spellingShingle The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
Durán Montejano, Luis
551.5
Mountain meteorology
Mountain climate
Weather observation
Data validation
Meteorología (Física)
2509 Meteorología
title_short The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
title_full The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
title_fullStr The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
title_full_unstemmed The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
title_sort The Peñalara Mountain Meteorological Network (1999–2014): description, preliminary results and lessons learned
dc.creator.none.fl_str_mv Durán Montejano, Luis
Rodríguez-Muñoz, Irene
Sánchez, Enrique
author Durán Montejano, Luis
author_facet Durán Montejano, Luis
Rodríguez-Muñoz, Irene
Sánchez, Enrique
author_role author
author2 Rodríguez-Muñoz, Irene
Sánchez, Enrique
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 551.5
Mountain meteorology
Mountain climate
Weather observation
Data validation
Meteorología (Física)
2509 Meteorología
topic 551.5
Mountain meteorology
Mountain climate
Weather observation
Data validation
Meteorología (Física)
2509 Meteorología
description This work describes a mountain meteorological network that was in operation from 1999 to 2014 in a mountain range with elevations ranging from 1104 to 2428 m in Central Spain. Additionally, some technical details of the network are described, as well as variables measured and some meta information presented, which is expected to be useful for future users of the observational database. A strong emphasis is made on showing the observational methods and protocols evolution, as it will help researchers to understand the sources of errors, data gaps and the final stage of the network. This paper summarizes mostly the common sources of errors when designing and operating a small network of this kind, so it can be useful for individual researchers and small size groups that undertake a similar task on their own. Strengths and weaknesses of some of the variables measured are discussed and some basic calculations are made in order to show the potential of the database and to anticipate future deeper climatological analyses over the area. Finally, the configuration of an automatic mountain meteorology station is suggested as a result of the lessons learned and the the common state of the art automatic measuring techniques.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/94693
url https://hdl.handle.net/20.500.14352/94693
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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