Advanced search
Start date
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The extreme 2014 flood in south-western Amazon basin: the role of tropical-subtropical South Atlantic SST gradient

Full text
Carlo Espinoza, Jhan [1] ; Marengo, Jose Antonio [2] ; Ronchail, Josyane [3] ; Molina Carpio, Jorge [4] ; Noriega Flores, Luis [5] ; Loup Guyot, Jean [6]
Total Authors: 6
[1] IGP, Lima - Peru
[2] Inst Nacl Pesquisas Espaciais, Ctr Ciencia Sistema Terr, Sao Paulo - Brazil
[3] UPMC, Univ Paris 04, Univ Paris Diderot, Sorbonne Paris Cite, UMR Locean, CNRS, IRD, MNHN, Paris - France
[4] Univ Mayor San Andres, Inst Hidraul & Hidrol, La Paz - Bolivia
[5] Serv Nacl Meteorol & Hidrol, La Paz - Bolivia
[6] IRD, Lima - Peru
Total Affiliations: 6
Document type: Journal article
Web of Science Citations: 59

Unprecedented wet conditions are reported in the 2014 summer (December-March) in Southwestern Amazon, with rainfall about 100% above normal. Discharge in the Madeira River (the main southern Amazon tributary) has been 74% higher than normal (58 000 m(3) s(-1)) at Porto Velho and 380% (25 000 m(3) s(-1)) at Rurrenabaque, at the exit of the Andes in summer, while levels of the Rio Negro at Manaus were 29.47 m in June 2014, corresponding to the fifth highest record during the 113 years record of the Rio Negro. While previous floods in Amazonia have been related to La Nina and/or warmer than normal tropical South Atlantic, the 2014 rainfall and flood anomalies are associated with warm condition in the western Pacific-Indian Ocean and with an exceptionally warm Subtropical South Atlantic. Our results suggest that the tropical and subtropical South Atlantic SST gradient is a main driver for moisture transport from the Atlantic toward south-western Amazon, and this became exceptionally intense during summer of 2014. (AU)

FAPESP's process: 13/50538-7 - Understanding the causes of the biases that determine the onset of the rainy season in Amazonia in climate models using GoAmazon-CHUVA measurements
Grantee:Jose Antonio Marengo Orsini
Support type: Regular Research Grants