A further analysis of the tropical Atlantic <scp>SST</scp> modes and their relations to north‐eastern Brazil rainfall during different phases of Atlantic Multidecadal Oscillation

Kayano, Mary Toshie; Capistrano, Vinícius; Andreoli, Rita V.; Souza, Rodrigo Augusto Ferreira de

doi:10.1002/joc.4610

Cited by 36 publications

(27 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The northern NEB area is the same one used by Kayano et al . (). A normal year corresponds to that whose FMA (February–April) precipitation falls in the middle (between 33 and 66%) tercil.…”

Section: Methodsmentioning

confidence: 56%

“…This method consists in classifying a year as wet or dry if the accumulated precipitation from February to April average in the northern NEB area (1.5 S, 9.5 S, 43.5 W, 34.5 W) falls, respectively, into the upper (above 66%) or lower (below 33%) terciles. The northern NEB area is the same one used by Kayano et al (2016). A normal year corresponds to that whose FMA (February-April) precipitation falls in the middle (between 33 and 66%) tercil.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of two different La Niña types on the South American rainfall

Andreoli

Kayano

Viegas

et al. 2018

Intl Journal of Climatology

View full text Add to dashboard Cite

The paper tests if the two La Niña (LN) types can be distinguished from each other using their climate impacts on northeastern Brazil (NEB). To this end, all LN events during the 1901–2010 period followed by a wet or dry rainy season (from February to April) in NEB are classified into two categories: WET‐LN and DRY‐LN. The global and regional anomalous atmospheric circulation patterns and the rainfall anomaly patterns in South America associated with the two cases are analysed. The WET‐LN and DRY‐LN events present, respectively, the eastern Pacific LN and central Pacific LN sea surface temperature (SST) anomaly features in the tropical Pacific. On the other hand, the WET‐LN features an interhemispheric SST dipole pattern in the tropical Atlantic, and the DRY‐LN, colder‐than‐normal surface waters in the tropical South Atlantic (TSA) and equatorial Atlantic during MAM(+1). The two analysed cases show regional differential circulation patterns in all seasons. The anomalous wetness over northern and northwestern South America occurs for the WET‐LN type during JJA(0)–DJF(+1) and for the DRY‐LN type, during DJF(+1)–MAM(+1). The anomalous dryness over SESA is more evident for the WET‐LN during JJA(0) and MAM(+1), and for the DRY‐LN, during SON(0). Anomalous dryness occurs in central and eastern South America noted during JJA(0) and DJF(+1) for both cases analysed. The precipitation anomalies in northern South America during DJF(+1) are stronger and more extensive for the DRY‐LN than for the WET‐LN events due to the action of both the anomalous (double) Walker and Hadley cells for the DRY‐LN, in contrast with the exclusive action of an anomalous Walker cell for the WET‐LN case. Also, a double Walker cell drives the dry–wet dipole between northern South America and NEB during MAM(+1) for the DRY‐LN. Our results might be useful mainly for climate monitoring purposes.

show abstract

Section: Methodsmentioning

confidence: 56%

Section: Methodsmentioning

confidence: 99%

Effects of two different La Niña types on the South American rainfall

Andreoli

Kayano

Viegas

et al. 2018

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…These precipitation variations are tightly associated with the adjustment of the Walker circulation and the Rossby wave trains (Grimm 2003). The influences of the ENSO events on South America precipitation can also be adjusted by decadal climate variability (Kayano and Andreoli 2007, Kayano and Capistrano 2014, Kayano et al 2016. In addition, interannual variability of Atlantic SST also impacts on South America precipitation (Yoon and Zeng 2010).…”

Section: Introductionmentioning

confidence: 99%

The strengthening of Amazonian precipitation during the wet season driven by tropical sea surface temperature forcing

Wang

Zhu

et al. 2018

Environ. Res. Lett.

View full text Add to dashboard Cite

Amazonian rainfall plays a critical role in the global climate system and the hydrological cycle. It is thus important to quantify changes in the Amazonian rainfall and clarify its mechanism. Previous studies indicate that the interannual variability of Amazonian precipitation could be largely attributed to variabilities in the South American monsoon system and the El Niño Southern Oscillation. However, the trend of the wet season tropical Amazonian precipitation during recent decades is not very well investigated. In this study, by combining both satellite and in situ observations, it is revealed that tropical Amazonian precipitation has significantly increased by ∼180 to 600 mm (in different datasets) in the wet season during the satellite era from 1979 to 2015. We then use a state-of-the-art atmospheric model to simulate the impact of the tropical sea surface temperatures (SSTs) on the precipitation changes. Results show that the multidecadal warming of the tropical Atlantic has contributed more than half of this precipitation change over the past three decades, while the east Pacific cooling plays a secondary role. We finally combine the simulation results and the reanalysis data to investigate the mechanisms of this process, i.e. the SST variability dramatically increases the convergence of the moisture transport over the Amazon region. The precipitation changes over the Amazon region largely impact on the local hydrological cycle and the ecosystem, and have important impacts on the global climate system by mediating the teleconnection between the Pacific and the Atlantic oceans. Our results show that the long-term change in the wet season Amazonian precipitation is important and deserves further investigation and discussion.

show abstract

“…Brazil is located mainly in the tropical zone with several different climates (Alvares et al, 2013) and presents suitable conditions for production of several profitable crops. However, inter-annual crop yield variability is strongly influenced by El Niño-Southern Oscillation (ENSO) phases (Rodrigues et al, 2011;Zebiak et al, 2015), Pacific decadal oscillation (Kayano and Andreoli, 2007), Atlantic multidecadal oscillation (Kayano et al, 2016), drought intensification (Food and Agriculture Organization of the United Nations (FAO), 2014; Marengo and Torres, 2016), resulting anomalous crop yield losses (Soler et al, 2010;Rolim et al, 2015) and * Correspondence to: P. C. Sentelhas, Department of Biosystems Engineering, ESALQ, University of São Paulo, Av. Pádua Dias, 11, 13418-900 Piracicaba, SP, Brazil.…”

Section: Introductionmentioning

confidence: 99%

Assessment of NASA/POWER satellite‐based weather system for Brazilian conditions and its impact on sugarcane yield simulation

Monteiro¹,

Sentelhas

Pedra³

2017

Intl Journal of Climatology

View full text Add to dashboard Cite

The gridded database provided by National Aeronautics and Space Administration/Prediction of World Wide Energy Resources (NASA/POWER) presents a global coverage of complete weather data at horizontal resolution of 1° latitude–longitude, becoming a potential source for agrometeorological studies. Once Brazil is a country with continental dimensions and the major sugarcane world producer, and its density of ground weather stations suitable for an efficient agricultural planning is sparse, the objectives of this study were to test how robust is the NASA/POWER database through its comparison with the Brazilian ground weather stations network records (INMET) and to quantify the impacts on potential (Yp) and attainable (Yatt) sugarcane yield simulations when setting NASA/POWER as source of input weather data. The comparisons for weather data records and sugarcane yield simulations were carried out from 1997 to 2016. Statistical indices presented a satisfactory performance for average air temperature (R2 = 0.73; d = 0.91), minimum air temperature (R2 = 0.72; d = 0.91), maximum air temperature (R2 = 0.57; d = 0.84), solar radiation (SR) (R2 = 0.71; d = 0.92), sunshine hours (R2 = 0.68; d = 0.90) and reference evapotranspiration, when calculated through Priestley–Taylor (ETo‐PT) method (R2 = 0.76; d = 0.93). When the weather variables were aggregated and compared with a 10‐day time scale, a strong improvement of statistical indices was obtained. Yp presented root mean square error (RMSE) smaller than 10 t ha−1 while relative mean error (RME) ranged between ±10% for majority of grid cells, with exception for southern Brazil due to low and frost temperatures that satellite cannot capture accurately. Even NASA/POWER offering a relatively coarse grid size database and perhaps some regional data fitting would give better results at higher latitudes and elevation. The results found in this study proved that NASA/POWER products could be used as a source of climatic data for agricultural activities with a reasonable confidence for regional and national spatial scales.

show abstract

A further analysis of the tropical Atlantic SST modes and their relations to north‐eastern Brazil rainfall during different phases of Atlantic Multidecadal Oscillation

Cited by 36 publications

References 59 publications

Effects of two different La Niña types on the South American rainfall

Effects of two different La Niña types on the South American rainfall

The strengthening of Amazonian precipitation during the wet season driven by tropical sea surface temperature forcing

Assessment of NASA/POWER satellite‐based weather system for Brazilian conditions and its impact on sugarcane yield simulation

Contact Info

Product

Resources

About