Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data
Descripción del Articulo
The Andes‐Amazon transition, along the eastern Peruvian Andes, features “hot spots” with strong precipitation. Using 15 years of Tropical Rainfall Measuring Mission PR data we established a robust relation between terrain elevation and mean surface precipitation, with the latter peaking around 1000...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2017 |
| Institución: | Instituto Geofísico del Perú |
| Repositorio: | IGP-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.igp.gob.pe:20.500.12816/2240 |
| Enlace del recurso: | http://hdl.handle.net/20.500.12816/2240 https://doi.org/10.1002/2016JD026282 |
| Nivel de acceso: | acceso abierto |
| Materia: | Orographic rainfall Precipitation radar TRMM In situ measurements Andes Amazon http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.10 |
| id |
IGPR_43b81144d181f1aab37c36a72907d57c |
|---|---|
| oai_identifier_str |
oai:repositorio.igp.gob.pe:20.500.12816/2240 |
| network_acronym_str |
IGPR |
| network_name_str |
IGP-Institucional |
| repository_id_str |
4701 |
| dc.title.none.fl_str_mv |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| title |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| spellingShingle |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data Chávez Jara, Steven Paul Orographic rainfall Precipitation radar TRMM In situ measurements Andes Amazon http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.10 |
| title_short |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| title_full |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| title_fullStr |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| title_full_unstemmed |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| title_sort |
Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data |
| author |
Chávez Jara, Steven Paul |
| author_facet |
Chávez Jara, Steven Paul Takahashi, Ken |
| author_role |
author |
| author2 |
Takahashi, Ken |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Chávez Jara, Steven Paul Takahashi, Ken |
| dc.subject.none.fl_str_mv |
Orographic rainfall Precipitation radar TRMM In situ measurements Andes Amazon |
| topic |
Orographic rainfall Precipitation radar TRMM In situ measurements Andes Amazon http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.10 |
| dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#1.05.00 http://purl.org/pe-repo/ocde/ford#1.05.09 http://purl.org/pe-repo/ocde/ford#1.05.10 |
| description |
The Andes‐Amazon transition, along the eastern Peruvian Andes, features “hot spots” with strong precipitation. Using 15 years of Tropical Rainfall Measuring Mission PR data we established a robust relation between terrain elevation and mean surface precipitation, with the latter peaking around 1000 m above sea level (asl), coinciding with the moisture flux peak of the South American Low Level Jet (SALLJ). There is strong diurnal variability, with afternoon (13–18 LT) convection in the Amazon plains, while on the eastern slopes (1000–2000 m asl), after the forcing associated with the thermal heating of the Andes subsides, convection grows during the night and surface precipitation peaks around 01–06 LT and organizes into mesoscale convective systems (MCSs). These then displace downslope to an terrain elevation of 700 m asl with stratiform regions spreading upslope and downslope and then decay during the remainder of the morning. The large MCSs contribute with at least 50% of daily rainfall (60% of the 01–06 LT rainfall). On synoptic scales, the large MCSs are more common in stronger SALLJ conditions, although subtropical cold surges are responsible for 16% of the cases. |
| publishDate |
2017 |
| dc.date.accessioned.none.fl_str_mv |
2018-08-06T10:41:22Z |
| dc.date.available.none.fl_str_mv |
2018-08-06T10:41:22Z |
| dc.date.issued.fl_str_mv |
2017-06-16 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.citation.none.fl_str_mv |
Chavez, S. P. & Takahashi, K. (2017). Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data.==$Journal of Geophysical Research: Atmospheres, 122$==(11), 5870-5882. https://doi.org/10.1002/2016JD026282 |
| dc.identifier.govdoc.none.fl_str_mv |
index-oti2018 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12816/2240 |
| dc.identifier.journal.none.fl_str_mv |
Journal of Geophysical Research: Atmospheres |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1002/2016JD026282 |
| identifier_str_mv |
Chavez, S. P. & Takahashi, K. (2017). Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data.==$Journal of Geophysical Research: Atmospheres, 122$==(11), 5870-5882. https://doi.org/10.1002/2016JD026282 index-oti2018 Journal of Geophysical Research: Atmospheres |
| url |
http://hdl.handle.net/20.500.12816/2240 https://doi.org/10.1002/2016JD026282 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
urn:issn:2169-897X |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.uri.none.fl_str_mv |
(c) American Geophysical Union |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
(c) American Geophysical Union |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.coverage.spatial.none.fl_str_mv |
Andes Amazonas Perú |
| dc.publisher.none.fl_str_mv |
American Geophysical Union (AGU) |
| publisher.none.fl_str_mv |
American Geophysical Union (AGU) |
| dc.source.none.fl_str_mv |
reponame:IGP-Institucional instname:Instituto Geofísico del Perú instacron:IGP |
| instname_str |
Instituto Geofísico del Perú |
| instacron_str |
IGP |
| institution |
IGP |
| reponame_str |
IGP-Institucional |
| collection |
IGP-Institucional |
| bitstream.url.fl_str_mv |
https://repositorio.igp.gob.pe/bitstreams/5e3636e3-6046-44e5-ab68-1faf9b53044d/download https://repositorio.igp.gob.pe/bitstreams/6ad3777d-6dff-40a2-9751-af2dc15cba4b/download https://repositorio.igp.gob.pe/bitstreams/5bd91eae-f3b1-45c2-90b5-9a510a0d882d/download https://repositorio.igp.gob.pe/bitstreams/b2f171d7-d073-4533-bb30-591d3caf2744/download |
| bitstream.checksum.fl_str_mv |
646c3ead4f0f662d9d3d166e08594975 8a4605be74aa9ea9d79846c1fba20a33 b506e87ad7edab3a8fef4fc53e9a5b86 1c2e2dcadc25b6b09c6e8381ae2b6915 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Geofísico Nacional |
| repository.mail.fl_str_mv |
biblio@igp.gob.pe |
| _version_ |
1842618153174040576 |
| spelling |
Chávez Jara, Steven PaulTakahashi, KenAndesAmazonasPerú2018-08-06T10:41:22Z2018-08-06T10:41:22Z2017-06-16Chavez, S. P. & Takahashi, K. (2017). Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ data.==$Journal of Geophysical Research: Atmospheres, 122$==(11), 5870-5882. https://doi.org/10.1002/2016JD026282index-oti2018http://hdl.handle.net/20.500.12816/2240Journal of Geophysical Research: Atmosphereshttps://doi.org/10.1002/2016JD026282The Andes‐Amazon transition, along the eastern Peruvian Andes, features “hot spots” with strong precipitation. Using 15 years of Tropical Rainfall Measuring Mission PR data we established a robust relation between terrain elevation and mean surface precipitation, with the latter peaking around 1000 m above sea level (asl), coinciding with the moisture flux peak of the South American Low Level Jet (SALLJ). There is strong diurnal variability, with afternoon (13–18 LT) convection in the Amazon plains, while on the eastern slopes (1000–2000 m asl), after the forcing associated with the thermal heating of the Andes subsides, convection grows during the night and surface precipitation peaks around 01–06 LT and organizes into mesoscale convective systems (MCSs). These then displace downslope to an terrain elevation of 700 m asl with stratiform regions spreading upslope and downslope and then decay during the remainder of the morning. The large MCSs contribute with at least 50% of daily rainfall (60% of the 01–06 LT rainfall). On synoptic scales, the large MCSs are more common in stronger SALLJ conditions, although subtropical cold surges are responsible for 16% of the cases.Por paresapplication/pdfengAmerican Geophysical Union (AGU)urn:issn:2169-897Xinfo:eu-repo/semantics/openAccess(c) American Geophysical UnionOrographic rainfallPrecipitation radarTRMMIn situ measurementsAndesAmazonhttp://purl.org/pe-repo/ocde/ford#1.05.00http://purl.org/pe-repo/ocde/ford#1.05.09http://purl.org/pe-repo/ocde/ford#1.05.10Orographic rainfall hot spots in the Andes‐Amazon transition according to the TRMM precipitation radar and in situ datainfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALchavez2017.pdfchavez2017.pdfapplication/pdf3000132https://repositorio.igp.gob.pe/bitstreams/5e3636e3-6046-44e5-ab68-1faf9b53044d/download646c3ead4f0f662d9d3d166e08594975MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/6ad3777d-6dff-40a2-9751-af2dc15cba4b/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILchavez2017.pdf.jpgchavez2017.pdf.jpgIM Thumbnailimage/jpeg109930https://repositorio.igp.gob.pe/bitstreams/5bd91eae-f3b1-45c2-90b5-9a510a0d882d/downloadb506e87ad7edab3a8fef4fc53e9a5b86MD54TEXTchavez2017.pdf.txtchavez2017.pdf.txtExtracted texttext/plain55018https://repositorio.igp.gob.pe/bitstreams/b2f171d7-d073-4533-bb30-591d3caf2744/download1c2e2dcadc25b6b09c6e8381ae2b6915MD5520.500.12816/2240oai:repositorio.igp.gob.pe:20.500.12816/22402024-10-01 16:35:39.469(c) American Geophysical Unioninfo:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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 |
| score |
13.946249 |
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).
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).