Secondary forecast models. The ENSO example.

"In this note, a procedure to construct predictors is suggested that could take advantage of the increasing predictive skill of ENSO models. These so-called secondary forecast models (SFM) attempt to produce a forecast for a particular object application based on independent forecasts of ENSO....

Descripción completa

Detalles Bibliográficos
Autor: Edgar Gerardo Pavía López
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2000
País:México
Institución:Centro de Investigación Científica y de Educación Superior de Ensenada
Repositorio:Repositorio Institucional CICESE
Idioma:inglés
OAI Identifier:oai:cicese.repositorioinstitucional.mx:1007/1639
Acceso en línea:http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1639
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weather
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/25
info:eu-repo/classification/cti/2510
info:eu-repo/classification/cti/251007
id MX_b1a8ed8a89e0973666df56fcdff4969a
oai_identifier_str oai:cicese.repositorioinstitucional.mx:1007/1639
network_acronym_str MX
network_name_str México
repository_id_str
spelling Secondary forecast models. The ENSO example.Edgar Gerardo Pavía Lópezinfo:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weatherinfo:eu-repo/classification/cti/1info:eu-repo/classification/cti/25info:eu-repo/classification/cti/2510info:eu-repo/classification/cti/251007info:eu-repo/classification/cti/251007"In this note, a procedure to construct predictors is suggested that could take advantage of the increasing predictive skill of ENSO models. These so-called secondary forecast models (SFM) attempt to produce a forecast for a particular object application based on independent forecasts of ENSO. Although their predictive skill may be modest, these models can provide an alternate and objective forecast to the entirely subjective schemes more widely used. An example of the application of SFM to the forecast of the seasonal precipitation of a typical station of the Mediterranean Californias shows promising results."AMS2000info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://cicese.repositorioinstitucional.mx/jspui/handle/1007/1639Journal of Applied Meteorology, Vol. 39, Págs. 152-155reponame:Repositorio Institucional CICESEinstname:Centro de Investigación Científica y de Educación Superior de Ensenadainstacron:CICESEengcitation:Pavía,E.G.2000.Secondary forecast models. The ENSO example.Journal of Applied Meteorology,39,152-155.doi:10.1175/1520-0450(2000)039<1952:SFMTEE>2.0.CO;2info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:cicese.repositorioinstitucional.mx:1007/16392024-08-28T03:49:52Z
dc.title.none.fl_str_mv Secondary forecast models. The ENSO example.
title Secondary forecast models. The ENSO example.
spellingShingle Secondary forecast models. The ENSO example.
Edgar Gerardo Pavía López
info:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weather
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/25
info:eu-repo/classification/cti/2510
info:eu-repo/classification/cti/251007
info:eu-repo/classification/cti/251007
title_short Secondary forecast models. The ENSO example.
title_full Secondary forecast models. The ENSO example.
title_fullStr Secondary forecast models. The ENSO example.
title_full_unstemmed Secondary forecast models. The ENSO example.
title_sort Secondary forecast models. The ENSO example.
dc.creator.none.fl_str_mv Edgar Gerardo Pavía López
author Edgar Gerardo Pavía López
author_facet Edgar Gerardo Pavía López
author_role author
dc.subject.none.fl_str_mv info:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weather
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/25
info:eu-repo/classification/cti/2510
info:eu-repo/classification/cti/251007
info:eu-repo/classification/cti/251007
topic info:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weather
info:eu-repo/classification/cti/1
info:eu-repo/classification/cti/25
info:eu-repo/classification/cti/2510
info:eu-repo/classification/cti/251007
info:eu-repo/classification/cti/251007
description "In this note, a procedure to construct predictors is suggested that could take advantage of the increasing predictive skill of ENSO models. These so-called secondary forecast models (SFM) attempt to produce a forecast for a particular object application based on independent forecasts of ENSO. Although their predictive skill may be modest, these models can provide an alternate and objective forecast to the entirely subjective schemes more widely used. An example of the application of SFM to the forecast of the seasonal precipitation of a typical station of the Mediterranean Californias shows promising results."
publishDate 2000
dc.date.none.fl_str_mv 2000
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1639
url http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1639
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv citation:Pavía,E.G.2000.Secondary forecast models. The ENSO example.Journal of Applied Meteorology,39,152-155.doi:10.1175/1520-0450(2000)039<1952:SFMTEE>2.0.CO;2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv AMS
publisher.none.fl_str_mv AMS
dc.source.none.fl_str_mv Journal of Applied Meteorology, Vol. 39, Págs. 152-155
reponame:Repositorio Institucional CICESE
instname:Centro de Investigación Científica y de Educación Superior de Ensenada
instacron:CICESE
instname_str Centro de Investigación Científica y de Educación Superior de Ensenada
instacron_str CICESE
institution CICESE
reponame_str Repositorio Institucional CICESE
collection Repositorio Institucional CICESE
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1858176594369052672
score 15,812429

Similares en LA Referencia