Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru

Descripción del Articulo

Accurate quantification of rates of glacier mass loss is critical for managing water resources and for assessing hazards at ice-clad volcanoes, especially in arid regions like southern Peru. In these regions, glacier and snow melt are crucial dry season water resources. In order to verify previously...

Descripción completa

Detalles Bibliográficos
Autores: Kochtitzky, William H., Edwards, Benjamin R., Enderlin, Ellyn M., Mariño Salazar, Jersy, Manrique Llerena, Nélida
Formato: artículo
Fecha de Publicación:2018
Institución:Instituto Geológico, Minero y Metalúrgico
Repositorio:INGEMMET-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ingemmet.gob.pe:20.500.12544/1938
Enlace del recurso:https://hdl.handle.net/20.500.12544/1938
https://doi.org/10.1017/jog.2018.2
Nivel de acceso:acceso abierto
Materia:Desglaciación
Geocronología
Geomorfología de volcán
Glaciología
Paleoclima
Volcanes
Estratovolcán
Nevados
Glaciological natural hazards
Mountain glaciers
Remote sensing
id INGEMMET_5dd98e1d360cf372ff4fd50a9fa4acac
oai_identifier_str oai:repositorio.ingemmet.gob.pe:20.500.12544/1938
network_acronym_str INGEMMET
network_name_str INGEMMET-Institucional
repository_id_str 2991
dc.title.es_PE.fl_str_mv Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
title Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
spellingShingle Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
Kochtitzky, William H.
Desglaciación
Geocronología
Geomorfología de volcán
Glaciología
Paleoclima
Volcanes
Estratovolcán
Nevados
Glaciological natural hazards
Mountain glaciers
Remote sensing
title_short Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
title_full Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
title_fullStr Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
title_full_unstemmed Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
title_sort Improved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peru
author Kochtitzky, William H.
author_facet Kochtitzky, William H.
Edwards, Benjamin R.
Enderlin, Ellyn M.
Mariño Salazar, Jersy
Manrique Llerena, Nélida
author_role author
author2 Edwards, Benjamin R.
Enderlin, Ellyn M.
Mariño Salazar, Jersy
Manrique Llerena, Nélida
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Kochtitzky, William H.
Edwards, Benjamin R.
Enderlin, Ellyn M.
Mariño Salazar, Jersy
Manrique Llerena, Nélida
dc.subject.es_PE.fl_str_mv Desglaciación
Geocronología
Geomorfología de volcán
Glaciología
Paleoclima
Volcanes
Estratovolcán
Nevados
Glaciological natural hazards
Mountain glaciers
Remote sensing
topic Desglaciación
Geocronología
Geomorfología de volcán
Glaciología
Paleoclima
Volcanes
Estratovolcán
Nevados
Glaciological natural hazards
Mountain glaciers
Remote sensing
description Accurate quantification of rates of glacier mass loss is critical for managing water resources and for assessing hazards at ice-clad volcanoes, especially in arid regions like southern Peru. In these regions, glacier and snow melt are crucial dry season water resources. In order to verify previously reported rates of ice area decline at Nevado Coropuna in Peru, which are anomalously rapid for tropical glaciers, we measured changes in ice cap area using 259 Landsat images acquired from 1980 to 2014. We find that Coropuna Ice Cap is presently the most extensive ice mass in the tropics, with an area of 44.1 km2, and has been shrinking at an average area loss rate of 0.409 km2 a−1 (~0.71% a−1) since 1980. Our estimated rate of change is considerably lower than previous studies (1.4 km2 a−1 or ~2.43% a−1), but is consistent with other tropical regions, such as the Cordillera Blanca located ~850 km to the NW (~0.68% a−1). Thus, if glacier recession continues at its present rate, our results suggest that Coropuna Ice Cap will likely continue to contribute to water supply for agricultural and domestic uses until ~2120, which is nearly 100 years longer than previously predicted.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2019-01-17T22:19:23Z
dc.date.available.none.fl_str_mv 2019-01-17T22:19:23Z
dc.date.issued.fl_str_mv 2018-04
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12544/1938
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1017/jog.2018.2
dc.identifier.journal.es_PE.fl_str_mv Journal of Glaciology
dc.identifier.bibliographicCitation.es_PE.fl_str_mv Journal of Glaciology, v.64, n, 244, abril 2018, pp. 175-184.
url https://hdl.handle.net/20.500.12544/1938
https://doi.org/10.1017/jog.2018.2
identifier_str_mv Journal of Glaciology
Journal of Glaciology, v.64, n, 244, abril 2018, pp. 175-184.
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1727-5652
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.coverage.spatial.es_PE.fl_str_mv Nevado Coropuna
Arequipa
Perú
Andes
dc.publisher.es_PE.fl_str_mv Cambridge University Press
dc.publisher.country.es_PE.fl_str_mv GB
dc.source.es_PE.fl_str_mv Instituto Geológico, Minero y Metalúrgico – INGEMMET
Repositorio Institucional INGEMMET
dc.source.none.fl_str_mv reponame:INGEMMET-Institucional
instname:Instituto Geológico, Minero y Metalúrgico
instacron:INGEMMET
instname_str Instituto Geológico, Minero y Metalúrgico
instacron_str INGEMMET
institution INGEMMET
reponame_str INGEMMET-Institucional
collection INGEMMET-Institucional
bitstream.url.fl_str_mv https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/1/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/2/license.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/3/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.txt
https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/4/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.jpg
bitstream.checksum.fl_str_mv fb59013d9de5659e91d1db6fd7067b39
ecccc10c448afdeacc04912e07a3ed65
1d39b46b7e88a2d1d4a0ef312002726e
4cb17f02dda72df167f7816c14275150
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional INGEMMET
repository.mail.fl_str_mv repositorio@ingemmet.gob.pe
_version_ 1815350278567755776
spelling Kochtitzky, William H.Edwards, Benjamin R.Enderlin, Ellyn M.Mariño Salazar, JersyManrique Llerena, NélidaNevado CoropunaArequipaPerúAndes2019-01-17T22:19:23Z2019-01-17T22:19:23Z2018-04https://hdl.handle.net/20.500.12544/1938https://doi.org/10.1017/jog.2018.2Journal of GlaciologyJournal of Glaciology, v.64, n, 244, abril 2018, pp. 175-184.Accurate quantification of rates of glacier mass loss is critical for managing water resources and for assessing hazards at ice-clad volcanoes, especially in arid regions like southern Peru. In these regions, glacier and snow melt are crucial dry season water resources. In order to verify previously reported rates of ice area decline at Nevado Coropuna in Peru, which are anomalously rapid for tropical glaciers, we measured changes in ice cap area using 259 Landsat images acquired from 1980 to 2014. We find that Coropuna Ice Cap is presently the most extensive ice mass in the tropics, with an area of 44.1 km2, and has been shrinking at an average area loss rate of 0.409 km2 a−1 (~0.71% a−1) since 1980. Our estimated rate of change is considerably lower than previous studies (1.4 km2 a−1 or ~2.43% a−1), but is consistent with other tropical regions, such as the Cordillera Blanca located ~850 km to the NW (~0.68% a−1). Thus, if glacier recession continues at its present rate, our results suggest that Coropuna Ice Cap will likely continue to contribute to water supply for agricultural and domestic uses until ~2120, which is nearly 100 years longer than previously predicted.Peer reviewedapplication/pdfengCambridge University PressGBurn:issn:1727-5652info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Instituto Geológico, Minero y Metalúrgico – INGEMMETRepositorio Institucional INGEMMETreponame:INGEMMET-Institucionalinstname:Instituto Geológico, Minero y Metalúrgicoinstacron:INGEMMETDesglaciaciónGeocronologíaGeomorfología de volcánGlaciologíaPaleoclimaVolcanesEstratovolcánNevadosGlaciological natural hazardsMountain glaciersRemote sensingImproved estimates of glacier change rates at Nevado Coropuna Ice Cap, Peruinfo:eu-repo/semantics/articleGeologíaORIGINALKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdfKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdfArtículo indizadoapplication/pdf825039https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/1/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdffb59013d9de5659e91d1db6fd7067b39MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81567https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/2/license.txtecccc10c448afdeacc04912e07a3ed65MD52TEXTKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.txtKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.txtExtracted texttext/plain46331https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/3/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.txt1d39b46b7e88a2d1d4a0ef312002726eMD53THUMBNAILKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.jpgKochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.jpgGenerated Thumbnailimage/jpeg29822https://repositorio.ingemmet.gob.pe/bitstream/20.500.12544/1938/4/Kochtitzky-Improved_estimates_of_glacier_change_rates-2018.pdf.jpg4cb17f02dda72df167f7816c14275150MD5420.500.12544/1938oai:repositorio.ingemmet.gob.pe:20.500.12544/19382019-01-18 03:00:59.917Repositorio Institucional INGEMMETrepositorio@ingemmet.gob.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
score 13.92416
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).