Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone

The South Pacific region is an area affected by characteristic precipitation patterns undergoing extreme events such as tropical cyclones and droughts. First, a daily weather typing of precipitation is presented, based on principal component analysis and k-means clustering using precipitation and at...

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Autores: Mirones Alonso, Óscar, Bedía Jiménez, Joaquín, Fernández de la Granja, Juan Antonio, Herrera García, Sixto|||0000-0002-5384-179X, Ortega Van Vloten, Sara, Pozo Estívariz, Andrea, Cagigal Gil, Laura|||0000-0001-5384-6382, Méndez Incera, Fernando Javier|||0000-0002-5005-1100
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/27910
Acceso en línea:https://hdl.handle.net/10902/27910
Access Level:acceso abierto
Palabra clave:Conditioned calibration
Extreme precipitation
K-means clustering
Principal component analysis
Quantile mapping
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spelling Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence ZoneMirones Alonso, ÓscarBedía Jiménez, JoaquínFernández de la Granja, Juan AntonioHerrera García, Sixto|||0000-0002-5384-179XOrtega Van Vloten, SaraPozo Estívariz, AndreaCagigal Gil, Laura|||0000-0001-5384-6382Méndez Incera, Fernando Javier|||0000-0002-5005-1100Conditioned calibrationExtreme precipitationK-means clusteringPrincipal component analysisQuantile mappingThe South Pacific region is an area affected by characteristic precipitation patterns undergoing extreme events such as tropical cyclones and droughts. First, a daily weather typing of precipitation is presented, based on principal component analysis and k-means clustering using precipitation and atmospheric circulation variables derived from sea-level pressure and wind reanalysis fields. As a result, five weather types (WTs) are presented, able to capture distinct precipitation spatiotemporal patterns, interpretable in terms of salient regional climate features. Second, we undertake the calibration of the TRMM precipitation product using a set of rain gauge stations as reference and scaling and empirical quantile mapping (eQM) as calibration techniques. Furthermore, we build upon the weather-type classification to compare the results with a WTconditioned calibration approach. Overall, our results underpin the need of adjusting the existing TRMM biases, mostly relevant for the upper tail of their distribution, and advocate the use of correction techniques able to deal with quantile-dependent biases-such as eQM-instead of a simple scaling, in order to obtain a more realistic representation of extreme precipitation events. The conditioning has shown only a marginal added value over the simple approach, although this minor improvement may prove relevant for applications focused on extreme event analysis. Furthermore, the weather types created can be applied to a wide variety of conditioned analyses in this region.AFRICULTURES, Grant/Award Number: 774652; Beach4Cast, Grant/Award Number: PID2019-107053RB-I00; CORDyS, Grant/Award Number: PID2020-116595RB-I00; INDECIS, Grant/Award Number: 690462John Wiley and Sons LtdUniversidad de Cantabria20232023-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/27910International Journal of Climatology, 2023, 43(2), 1193-1210reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)InglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 774652open accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/279102026-06-02T12:39:31Z
dc.title.none.fl_str_mv Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
title Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
spellingShingle Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
Mirones Alonso, Óscar
Conditioned calibration
Extreme precipitation
K-means clustering
Principal component analysis
Quantile mapping
title_short Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
title_full Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
title_fullStr Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
title_full_unstemmed Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
title_sort Weather-type-conditioned calibration of Tropical Rainfall Measuring Mission precipitation over the South Pacific Convergence Zone
dc.creator.none.fl_str_mv Mirones Alonso, Óscar
Bedía Jiménez, Joaquín
Fernández de la Granja, Juan Antonio
Herrera García, Sixto|||0000-0002-5384-179X
Ortega Van Vloten, Sara
Pozo Estívariz, Andrea
Cagigal Gil, Laura|||0000-0001-5384-6382
Méndez Incera, Fernando Javier|||0000-0002-5005-1100
author Mirones Alonso, Óscar
author_facet Mirones Alonso, Óscar
Bedía Jiménez, Joaquín
Fernández de la Granja, Juan Antonio
Herrera García, Sixto|||0000-0002-5384-179X
Ortega Van Vloten, Sara
Pozo Estívariz, Andrea
Cagigal Gil, Laura|||0000-0001-5384-6382
Méndez Incera, Fernando Javier|||0000-0002-5005-1100
author_role author
author2 Bedía Jiménez, Joaquín
Fernández de la Granja, Juan Antonio
Herrera García, Sixto|||0000-0002-5384-179X
Ortega Van Vloten, Sara
Pozo Estívariz, Andrea
Cagigal Gil, Laura|||0000-0001-5384-6382
Méndez Incera, Fernando Javier|||0000-0002-5005-1100
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Conditioned calibration
Extreme precipitation
K-means clustering
Principal component analysis
Quantile mapping
topic Conditioned calibration
Extreme precipitation
K-means clustering
Principal component analysis
Quantile mapping
description The South Pacific region is an area affected by characteristic precipitation patterns undergoing extreme events such as tropical cyclones and droughts. First, a daily weather typing of precipitation is presented, based on principal component analysis and k-means clustering using precipitation and atmospheric circulation variables derived from sea-level pressure and wind reanalysis fields. As a result, five weather types (WTs) are presented, able to capture distinct precipitation spatiotemporal patterns, interpretable in terms of salient regional climate features. Second, we undertake the calibration of the TRMM precipitation product using a set of rain gauge stations as reference and scaling and empirical quantile mapping (eQM) as calibration techniques. Furthermore, we build upon the weather-type classification to compare the results with a WTconditioned calibration approach. Overall, our results underpin the need of adjusting the existing TRMM biases, mostly relevant for the upper tail of their distribution, and advocate the use of correction techniques able to deal with quantile-dependent biases-such as eQM-instead of a simple scaling, in order to obtain a more realistic representation of extreme precipitation events. The conditioning has shown only a marginal added value over the simple approach, although this minor improvement may prove relevant for applications focused on extreme event analysis. Furthermore, the weather types created can be applied to a wide variety of conditioned analyses in this region.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/27910
url https://hdl.handle.net/10902/27910
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 774652
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.publisher.none.fl_str_mv John Wiley and Sons Ltd
publisher.none.fl_str_mv John Wiley and Sons Ltd
dc.source.none.fl_str_mv International Journal of Climatology, 2023, 43(2), 1193-1210
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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