Combining CMORPH and rain gauges observations over the Rio Negro basin.

Several algorithms that combine daily precipitation surface data and satellite Climate Prediction Center Morphing Technique (CMORPH) estimations were implemented and tested for the Rio Negro basin in northeastern Uruguay. Bias removal of satellite data through quantile matching—which requires histor...

Full description

Saved in:
Bibliographic Details
Main Author: De Vera, Alejandra (author)
Other Authors: Terra, Rafael (author)
Format: article
Language:English
Published: 2012
Subjects:
Online Access:https://journals.ametsoc.org/configurable/content/journals$002fhydr$002f13$002f6$002fjhm-d-12-010_1.xml?t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml&t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml
https://hdl.handle.net/20.500.12008/38416
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868890229055684608
author De Vera, Alejandra
author2 Terra, Rafael
author2_role author
author_browse De Vera, Alejandra
Terra, Rafael
author_facet De Vera, Alejandra
Terra, Rafael
author_role author
collection COLIBRI
dc.contributor.none.fl_str_mv De Vera Alejandra, Universidad de la República (Uruguay). Facultad de Ingeniería.
Terra Rafael, Universidad de la República (Uruguay). Facultad de Ingeniería.
dc.coverage.none.fl_str_mv Cuenca del Río Negro, Uruguay.
dc.creator.none.fl_str_mv De Vera, Alejandra
Terra, Rafael
dc.date.none.fl_str_mv 2012
2023-07-26T12:40:12Z
2023-07-26T12:40:12Z
dc.format.none.fl_str_mv 11 p.
application/pdf
dc.identifier.none.fl_str_mv De Vera, A. y Terra, R. "Combining CMORPH and rain gauges observations over the Rio Negro basin". Journal of Hydrometeorology. [en línea]. 2012 , vol.13, no 6, p. 1799-1809. DOI: 10.1175/JHM-D-12-010.1
1525-755X
https://journals.ametsoc.org/configurable/content/journals$002fhydr$002f13$002f6$002fjhm-d-12-010_1.xml?t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml&t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml
https://hdl.handle.net/20.500.12008/38416
10.1175/JHM-D-12-010.1
1525-7541
dc.language.none.fl_str_mv en
eng
dc.publisher.none.fl_str_mv American Meteorological Society (AMS)
dc.relation.none.fl_str_mv Journal of Hydrometeorology, vol.13, no. 6, december 2012, pp. 1799-1809
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.none.fl_str_mv Hydrometeorology
dc.title.none.fl_str_mv Combining CMORPH and rain gauges observations over the Rio Negro basin.
dc.type.none.fl_str_mv Artículo
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description Several algorithms that combine daily precipitation surface data and satellite Climate Prediction Center Morphing Technique (CMORPH) estimations were implemented and tested for the Rio Negro basin in northeastern Uruguay. Bias removal of satellite data through quantile matching—which requires historical data on nearby rain gauges—produces an unbiased estimate whose skill, as measured by the probability of detection (POD), is better than that obtained from surface observations for distances larger than approximately 50 km, which is twice the network characteristic distance between gauges of 23 km. Adjustment of satellite estimate using spatial interpolation of CMORPH deviations evaluated at nearby points—which requires simultaneous neighboring surface observations—eliminates biases to a large degree. Moreover, it shows higher POD skill than using only surface data for the entire range of distances and daily precipitation thresholds and for both seasons (cold and warm). The skill improvement attained, though, is small when the network density is as high as in the present study. However, these results suggest a promising scenario for the combined use of surface data and satellite retrievals as the latter continues to improve over time, both in resolution—spatial and temporal—and skill.
eu_rights_str_mv openAccess
format article
id anni_f060cb671a2cdf9cdc138cb90365785b
identifier_str_mv De Vera, A. y Terra, R. "Combining CMORPH and rain gauges observations over the Rio Negro basin". Journal of Hydrometeorology. [en línea]. 2012 , vol.13, no 6, p. 1799-1809. DOI: 10.1175/JHM-D-12-010.1
1525-755X
10.1175/JHM-D-12-010.1
1525-7541
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/38416
publishDate 2012
publishDateSort 2012
publisher.none.fl_str_mv American Meteorological Society (AMS)
reponame_str COLIBRI
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Combining CMORPH and rain gauges observations over the Rio Negro basin.De Vera, AlejandraTerra, RafaelHydrometeorologySeveral algorithms that combine daily precipitation surface data and satellite Climate Prediction Center Morphing Technique (CMORPH) estimations were implemented and tested for the Rio Negro basin in northeastern Uruguay. Bias removal of satellite data through quantile matching—which requires historical data on nearby rain gauges—produces an unbiased estimate whose skill, as measured by the probability of detection (POD), is better than that obtained from surface observations for distances larger than approximately 50 km, which is twice the network characteristic distance between gauges of 23 km. Adjustment of satellite estimate using spatial interpolation of CMORPH deviations evaluated at nearby points—which requires simultaneous neighboring surface observations—eliminates biases to a large degree. Moreover, it shows higher POD skill than using only surface data for the entire range of distances and daily precipitation thresholds and for both seasons (cold and warm). The skill improvement attained, though, is small when the network density is as high as in the present study. However, these results suggest a promising scenario for the combined use of surface data and satellite retrievals as the latter continues to improve over time, both in resolution—spatial and temporal—and skill.Agencia Nacional de Investigación e Innovación - Beca ANIIPROHIMET-WMOAmerican Meteorological Society (AMS)De Vera Alejandra, Universidad de la República (Uruguay). Facultad de Ingeniería.Terra Rafael, Universidad de la República (Uruguay). Facultad de Ingeniería.2023-07-26T12:40:12Z2023-07-26T12:40:12Z2012Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion11 p.application/pdfDe Vera, A. y Terra, R. "Combining CMORPH and rain gauges observations over the Rio Negro basin". Journal of Hydrometeorology. [en línea]. 2012 , vol.13, no 6, p. 1799-1809. DOI: 10.1175/JHM-D-12-010.11525-755Xhttps://journals.ametsoc.org/configurable/content/journals$002fhydr$002f13$002f6$002fjhm-d-12-010_1.xml?t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml&t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xmlhttps://hdl.handle.net/20.500.12008/3841610.1175/JHM-D-12-010.11525-7541reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengJournal of Hydrometeorology, vol.13, no. 6, december 2012, pp. 1799-1809Cuenca del Río Negro, Uruguay.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)oai:colibri.udelar.edu.uy:20.500.12008/384162026-04-14T10:35:22Z
spellingShingle Combining CMORPH and rain gauges observations over the Rio Negro basin.
De Vera, Alejandra
Hydrometeorology
status_str publishedVersion
title Combining CMORPH and rain gauges observations over the Rio Negro basin.
title_full Combining CMORPH and rain gauges observations over the Rio Negro basin.
title_fullStr Combining CMORPH and rain gauges observations over the Rio Negro basin.
title_full_unstemmed Combining CMORPH and rain gauges observations over the Rio Negro basin.
title_short Combining CMORPH and rain gauges observations over the Rio Negro basin.
title_sort Combining CMORPH and rain gauges observations over the Rio Negro basin.
topic Hydrometeorology
url https://journals.ametsoc.org/configurable/content/journals$002fhydr$002f13$002f6$002fjhm-d-12-010_1.xml?t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml&t:ac=journals%24002fhydr%24002f13%24002f6%24002fjhm-d-12-010_1.xml
https://hdl.handle.net/20.500.12008/38416