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| DOI | 10.1080/16000870.2018.1481690 | ||||
| Año | 2018 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Sao Paulo, Brazil has experienced severe water shortages and record low levels of its water reservoirs in 2013-2014. We evaluate the contributions of Amazon deforestation and climate change to low precipitation levels using a modelling approach, and address whether similar precipitation anomalies might occur more frequently in a warming world. Precipitation records from INMET show that the dry anomaly extended over a fairly large region to the north of Sao Paulo. Unique features of this event were anomalous sea surface temperature (SST) patterns in the Southern Atlantic, an extension of the sub tropical high into the Sao Paulo region and moisture flux divergence over Sao Paulo. The SST anomalies were very similar in 2013/14 and 2014/15, suggesting they played a major role in forcing the dry conditions. The SST anomalies consisted of three zonal bands: a cold band in the tropics, a warm band to the south of Sao Paulo and another cold band poleward of 40 S. We performed ensemble climate simulations with observed SSTs prescribed, vegetation cover either fixed at 1870 levels or varying over time, and greenhouse gases (GHGs) either fixed at preindustrial levels (280 ppm CO2) or varying over time. These simulations exhibit similar precipitation deficits over the Sao Paulo region in 2013/14. From this, we infer that SST patterns and the associated large-scale state of the atmosphere were important factors in determining the precipitation anomalies, while deforestation and increased GHGs only weakly modulated the signal. Finally, analyses of future climate simulations from CMIP5 models indicate that the frequency of such precipitation anomalies is not likely to change in a warmer climate.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Pattnayak, Kanhu C. | - |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 2 | Gloor, E. | Hombre |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 3 | Tindall, J. C. | - |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 4 | Brienen, Roel J. W. | Hombre |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 5 | Barichivich, J. | Hombre |
UNIV LEEDS - Reino Unido
Universidad Austral de Chile - Chile Centro de Ciencia del Clima y la Resiliencia - Chile University of Leeds - Reino Unido Center for Climate and Resilience Research (CR)2 - Chile Centre for Science and Resilience Research (CR)2 - Chile |
| 6 | Baker, J. C.A. | - |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 7 | Spracklen, Dominick | Hombre |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 8 | Cintra, Bruno B. L. | Hombre |
UNIV LEEDS - Reino Unido
University of Leeds - Reino Unido |
| 9 | Coelho, C. A. S. | - |
INPE - Brasil
Instituto Nacional de Pesquisas Espaciais - Brasil |
| 9 | Coelho, C. A.S. | - |
Instituto Nacional de Pesquisas Espaciais - Brasil
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| Fuente |
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| Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) |
| NERC (UK Natural Environment Research Council) AMAZONICA |
| Natural Environment Research Council |
| Amazon Hydrological Cycle grants |
| SPECS project - European Commission's Seventh Framework Research Programme |
| CNPq Science Without Borders |
| Agradecimiento |
|---|
| We are thankful to the Brazilian National Meteorological Service (INMET), water and waste management company of Sao Paulo (SABESP), the University of Sao Paulo (USP), GPCP and ECMWF for making their data records available for this study. We acknowledge the support from the NERC (UK Natural Environment Research Council) AMAZONICA and Amazon Hydrological Cycle grants (NE/F005806/1 and NE/K01353X/1) and the SPECS project (Grant Agreement No. 308378) funded by the European Commission's Seventh Framework Research Programme. CASC was supported by Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) processes 304586/2016-1. We also acknowledge the support provided by Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) Processes 2015/50687-8 (CLIMAX Project). JB acknowledges support from CONICYT/FONDAP/1511000. The Historical Land-Cover Change and Land-Use Conversions Global Dataset used in this study were acquired from NOAA's National Climatic Data Center (http://www.ncdc.noaa.gov/). BBLC acknowledges the support from CNPq Science Without Borders (207400/2014-8). |