Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years

Descripción del Articulo

Lowest events in Lake Titicaca’s water level (LTWL) significantly impact local ecosystems and the drinking water supply in Peru and Bolivia. However, the hydroclimatic mechanisms driving extreme lake-level lowstands remain poorly understood. To investigate these low lake-level events, we analyzed de...

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Detalles Bibliográficos
Autores: Sulca Jota, Juan Carlos, Vuille, Mathias, Takahashi, Ken, Roundy, Paul, Dong, Bo, Mayta, Victor, Tacza, Jose, Apaéstegui Campos, James Emiliano
Formato: artículo
Fecha de Publicación:2025
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/5724
Enlace del recurso:http://hdl.handle.net/20.500.12816/5724
https://doi.org/10.3389/fclim.2025.1564040
Nivel de acceso:acceso abierto
Materia:Lake Titicaca water level minima
Niño diversity
South American low-level jet
Western tropical North Atlantic
Pacific Decadal oscillation
Interdecadal Pacific oscillation
Multiple linear regression model
https://purl.org/pe-repo/ocde/ford#1.05.09
https://purl.org/pe-repo/ocde/ford#1.05.11
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dc.title.none.fl_str_mv Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
title Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
spellingShingle Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
Sulca Jota, Juan Carlos
Lake Titicaca water level minima
Niño diversity
South American low-level jet
Western tropical North Atlantic
Pacific Decadal oscillation
Interdecadal Pacific oscillation
Multiple linear regression model
https://purl.org/pe-repo/ocde/ford#1.05.09
https://purl.org/pe-repo/ocde/ford#1.05.11
title_short Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
title_full Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
title_fullStr Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
title_full_unstemmed Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
title_sort Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years
author Sulca Jota, Juan Carlos
author_facet Sulca Jota, Juan Carlos
Vuille, Mathias
Takahashi, Ken
Roundy, Paul
Dong, Bo
Mayta, Victor
Tacza, Jose
Apaéstegui Campos, James Emiliano
author_role author
author2 Vuille, Mathias
Takahashi, Ken
Roundy, Paul
Dong, Bo
Mayta, Victor
Tacza, Jose
Apaéstegui Campos, James Emiliano
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sulca Jota, Juan Carlos
Vuille, Mathias
Takahashi, Ken
Roundy, Paul
Dong, Bo
Mayta, Victor
Tacza, Jose
Apaéstegui Campos, James Emiliano
dc.subject.none.fl_str_mv Lake Titicaca water level minima
Niño diversity
South American low-level jet
Western tropical North Atlantic
Pacific Decadal oscillation
Interdecadal Pacific oscillation
Multiple linear regression model
topic Lake Titicaca water level minima
Niño diversity
South American low-level jet
Western tropical North Atlantic
Pacific Decadal oscillation
Interdecadal Pacific oscillation
Multiple linear regression model
https://purl.org/pe-repo/ocde/ford#1.05.09
https://purl.org/pe-repo/ocde/ford#1.05.11
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.09
https://purl.org/pe-repo/ocde/ford#1.05.11
description Lowest events in Lake Titicaca’s water level (LTWL) significantly impact local ecosystems and the drinking water supply in Peru and Bolivia. However, the hydroclimatic mechanisms driving extreme lake-level lowstands remain poorly understood. To investigate these low lake-level events, we analyzed detrended monthly LTWL anomalies, sea Surface temperature (SST) datasets covering the period 1921–2023. ERA5 reanalysis covers the period 1940–2023. A multiple linear regression model was developed to compute detrended LTWL anomalies, excluding multidecadal and residual components. Interdecadal Pacific Oscillation (IPO) and Pacific Decadal Oscillation (PDO) índices were also analyzed for the same period. Results indicate that 25% of all LTWL minima events have a short duration of <5 months, while the remaining 75% of all events have a long duration of more than 9 months, respectively. All long-lived LTWL minima events are associated with reduced moisture flow from the Amazon basin toward Lake Titicaca, but the large-scale forcing varies with the phase change of the decadal component in the 11–15 years band of the PDO (PDO11–15 years). Under warm PDO11–15 years phases, LTWL minima are driven by an enhanced South American low-level jet (SALLJ) caused by warm SST anomalies over the eastern Pacific Ocean. Warm SST anomalies over tropical North Atlantic and central Pacific cold events, which reinforce the cold PDO11–15 years phases, driving long-lived LTWL minima through the reduction of SALLJ. Conversely, long-lived LTWL minima events under neutral PDO11–15 years phases are caused by westerly flow anomalies confined to the Peruvian Altiplano. Therefore, PDO and IPO do not drive long-lived LTWL minima events because their relationship does not remain consistent over time. In conclusion, long-lived LTWL minima events exhibit a regional nature and are not driven by the PDO or IPO, as LTWL shows no consistent relationship with these decadal SST modes over time.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-07-18T15:56:39Z
dc.date.available.none.fl_str_mv 2025-07-18T15:56:39Z
dc.date.issued.fl_str_mv 2025-05-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Sulca, J., Vuille, M., Takahashi, K.,… Apaestegui, J. (2025). Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years.==$Frontiers in Climate, 7.$== https://doi.org/10.3389/fclim.2025.1564040
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/5724
dc.identifier.journal.none.fl_str_mv Frontiers in Climate
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3389/fclim.2025.1564040
identifier_str_mv Sulca, J., Vuille, M., Takahashi, K.,… Apaestegui, J. (2025). Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years.==$Frontiers in Climate, 7.$== https://doi.org/10.3389/fclim.2025.1564040
index-oti2018
Frontiers in Climate
url http://hdl.handle.net/20.500.12816/5724
https://doi.org/10.3389/fclim.2025.1564040
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:2624-9553
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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spelling Sulca Jota, Juan CarlosVuille, MathiasTakahashi, KenRoundy, PaulDong, BoMayta, VictorTacza, JoseApaéstegui Campos, James Emiliano2025-07-18T15:56:39Z2025-07-18T15:56:39Z2025-05-06Sulca, J., Vuille, M., Takahashi, K.,… Apaestegui, J. (2025). Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 years.==$Frontiers in Climate, 7.$== https://doi.org/10.3389/fclim.2025.1564040index-oti2018http://hdl.handle.net/20.500.12816/5724Frontiers in Climatehttps://doi.org/10.3389/fclim.2025.1564040Lowest events in Lake Titicaca’s water level (LTWL) significantly impact local ecosystems and the drinking water supply in Peru and Bolivia. However, the hydroclimatic mechanisms driving extreme lake-level lowstands remain poorly understood. To investigate these low lake-level events, we analyzed detrended monthly LTWL anomalies, sea Surface temperature (SST) datasets covering the period 1921–2023. ERA5 reanalysis covers the period 1940–2023. A multiple linear regression model was developed to compute detrended LTWL anomalies, excluding multidecadal and residual components. Interdecadal Pacific Oscillation (IPO) and Pacific Decadal Oscillation (PDO) índices were also analyzed for the same period. Results indicate that 25% of all LTWL minima events have a short duration of <5 months, while the remaining 75% of all events have a long duration of more than 9 months, respectively. All long-lived LTWL minima events are associated with reduced moisture flow from the Amazon basin toward Lake Titicaca, but the large-scale forcing varies with the phase change of the decadal component in the 11–15 years band of the PDO (PDO11–15 years). Under warm PDO11–15 years phases, LTWL minima are driven by an enhanced South American low-level jet (SALLJ) caused by warm SST anomalies over the eastern Pacific Ocean. Warm SST anomalies over tropical North Atlantic and central Pacific cold events, which reinforce the cold PDO11–15 years phases, driving long-lived LTWL minima through the reduction of SALLJ. Conversely, long-lived LTWL minima events under neutral PDO11–15 years phases are caused by westerly flow anomalies confined to the Peruvian Altiplano. Therefore, PDO and IPO do not drive long-lived LTWL minima events because their relationship does not remain consistent over time. In conclusion, long-lived LTWL minima events exhibit a regional nature and are not driven by the PDO or IPO, as LTWL shows no consistent relationship with these decadal SST modes over time.Este trabajo fue financiado por el Programa Nacional de Investigación Científica y Estudios Avanzados (PROCIENCIA) en el marco del proyecto “Alianzas interinstitucionales para programas de doctorado" [número de contrato PE501093367-2024-PROCIENCIA-BM].Este trabajo fue financiado por el programa PPR 068 «Reducción de vulnerabilidad y atención de emergencias por desastres»Por paresapplication/pdfengFrontiers Mediaurn:issn:2624-9553info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Lake Titicaca water level minimaNiño diversitySouth American low-level jetWestern tropical North AtlanticPacific Decadal oscillationInterdecadal Pacific oscillationMultiple linear regression modelhttps://purl.org/pe-repo/ocde/ford#1.05.09https://purl.org/pe-repo/ocde/ford#1.05.11Multi-time scale analysis of the water level minima in Lake Titicaca over the past 103 yearsinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/60a825fb-1e1a-45cf-982c-faa9f07718f9/downloadbb9bdc0b3349e4284e09149f943790b4MD51ORIGINALSulca_2025_Frontiers.pdfSulca_2025_Frontiers.pdfapplication/pdf2724363https://repositorio.igp.gob.pe/bitstreams/9c77001a-21e6-4edd-9d00-cb51ac8a5101/downloadeb75a7f76d78cc6709e281db90561ff2MD52TEXTSulca_2025_Frontiers.pdf.txtSulca_2025_Frontiers.pdf.txtExtracted texttext/plain66258https://repositorio.igp.gob.pe/bitstreams/6010f091-e4fd-4500-89e3-f88955b7ba96/download7db297e483470d88052bdcfe60434559MD53THUMBNAILSulca_2025_Frontiers.pdf.jpgSulca_2025_Frontiers.pdf.jpgGenerated Thumbnailimage/jpeg34194https://repositorio.igp.gob.pe/bitstreams/0c0d6f38-5bc0-4e1e-b463-646415a16c9a/download1b2eb30a891c26de381a3979757f758dMD5420.500.12816/5724oai:repositorio.igp.gob.pe:20.500.12816/57242025-07-18 12:00:24.341https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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