The analysis of global surface temperature wavelets from 1884 to 2014

Silva, Carlos Batista; Silva, Maria Elisa Siqueira; Krusche, Nísia; Ambrizzi, Tércio; Ferreira, Nelson de Jesus; Dias, Pedro Leite da Silva

doi:10.1007/s00704-018-2569-3

Cited by 9 publications

(11 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Decadal oscillations results in tropical areas, as indicated in Figure 6a, corroborate those obtained by Silva et al . (2018) for global data, indicating the prevalence of the Pacific energy, and, the results presented by Fedorov and Philander (2000), who suggested the influence of thermocline circulation decadal oscillation on ENSO events from the 1980–1989 decade.…”

Section: Resultsmentioning

confidence: 63%

“…The wavelet variance or the associated energy is given by Torrence and Compo (1998). In general, all SST variance values are presented in Section 3 as anomalies in relation to the whole period (1888–2014) just to make visualization easier (Silva et al ., 2018). A statistical significance test was applied to the energy values as suggested by Torrence and Compo (1998).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Spatial distribution of spectral SST oscillations over the equatorial pacific in the period 1888–2014

Silva

Ambrizzi

et al. 2020

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

This study identified and analysed the spatial and temporal patterns of spectral oscillation ranges of the monthly sea surface temperature, SST, over the tropical Pacific region, from 1888 to 2014, through wavelet analysis. The strategic steps considered the variance analysis, obtained from the wavelet computation, for each single grid point instead of the analysis of a spatial mean variance, as is commonly done, allowing us to visualize the spatial distribution of SST variance during different time periods. The mean results indicate that lower‐frequency oscillations (2–4 and 4–8 years) over the considered area are becoming more intense while higher‐frequency oscillations (1–12 months) are becoming less intense through time, which can lead to more persistent climates around the globe. While the 1–2 year oscillations feature the highest positive trend along the equatorial belt over central and eastern locations, the 4–8 year oscillations feature the strongest signal closer to the western South American coast, and the 2–4 year oscillations present positive signals over areas closer to the continental coast and over more distant western locations intercalated by negative signals. Throughout time, the position of the highest EN signals occurs either over central or eastern areas of the equatorial Pacific. The SST variance in the Niño areas mainly oscillates within the 2–4 and 4–8 year spectral ranges. Niño1 + 2 and Niño3 regions, in opposition to Niño3 and Niño3 + 4 regions, present the highest SST variance values for the four considered spectral ranges. The strongest El Niño events present their main oscillations in the 2–4 and 4–8 year spectral ranges, especially in the Niño1 + 2 and Niño3 regions, while weaker El Niño events show more association with the 1–2 year spectral range. Although there are some patterns identified for distinct El Niño/Southern Oscillation, ENSO, intensities and the associated frequency oscillations, the distinct spatial spectral energy distribution over the equatorial areas suggests the importance of the spatial distribution of the spectral energy through time in order to better characterize the ENSO events.

show abstract

Section: Resultsmentioning

confidence: 63%

Section: Methodsmentioning

confidence: 99%

Spatial distribution of spectral SST oscillations over the equatorial pacific in the period 1888–2014

Silva

Ambrizzi

et al. 2020

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The wavelet transform is a mathematical technique used to detect the time structure of multi-scale variations (Lau and Hengyi Weng, 1995). This technique can transform a onedimensional time series into a two-dimensional, in the time-frequency domain (Torrence and Compo, 1998;Silva et al, 2019).…”

Section: Wavelet Transformmentioning

confidence: 99%

“…During summer, the South Atlantic Subtropical Anticyclone (SASA) is located in its easternmost position, moving away from the coast and introducing moisture from the Atlantic to the continent, favoring precipitation. However, in winter the SASA migrates to the west and a part of it is located on the Southeast of Brazil, suppressing convection there (da Silva et al, 2014). Finally, the cold fronts also play an important role in organizing convection in Region 5.…”

Section: Regionmentioning

confidence: 99%

Interannual variability of Tropical Atlantic and its influence on extreme precipitation events: Focus on the Amazon Basin

López¹

View full text Add to dashboard Cite

This study provides a detailed analysis, in the interannual timescale , of the influence of the tropical Pacific and the Atlantic Ocean in the precipitation regime over South America, with a focus on the Amazon Basin. For this purpose, first, monthly sea surface temperature data is used to determine the principal modes of variability in three Atlantic regions: Tropical North Atlantic (TNA), Tropical South Atlantic (TSA), and Subtropical South Atlantic (STSA). These patterns are obtained from Empirical Orthogonal Function (EOF), where the first mode (PC1) of each region explains the interannual variability in high percentage. The PC1 time series also shows SST peaks related to extreme precipitation events in the Amazon Basin. In addition, the Pacific and Atlantic interaction was analyzed by moving correlations and cross-wavelets for the 1880-2017 period, using Pacific indices (E and C index) and the PC1 of each Atlantic region. We found that the Atlantic regions have been coupling and decoupling in specific periods. Likewise, the Pacific and the Atlantic oceans have been shown in-phase or in opposite phase in different periods of time and frequencies. Precipitation from satellite and combined observed-satellite for the 1940-2010 period were used to identify regions influenced by the Pacific and Atlantic SST. The results suggest that different El Niño Southern Oscillation (ENSO) flavors mainly impact precipitation during the onset (October-November) and peak (December-February) of the South America Monsoon System (SAMS). We have also shown that anomalous conditions over the Tropical North and South Atlantic Ocean impact precipitation regimes during the demise (March-April) and the absence of the SAMS (May-September), while the Subtropical South Atlantic impacts in precipitation during the peak and the absence of the SAMS. Additionally, moisture flux, its divergence, and vertical structure over South America and the adjoining oceans were obtained for different conditions of tropical oceans , through the oceanic indices. Results show that anomalous conditions of sea surface temperature in these oceanic regions modify the source and sink regions for atmospheric moisture in all seasons. A reduction in the moisture inflow, mainly in warm tropical Atlantic conditions, could lead to extremely dry periods in central-southern Amazon and the northern La Plata Basin. This effect, indeed, could be even more extreme in tropical South America when it is preceded by the El Niño event. However, contrasted impacts are observed during El Niño years, with rainfall deficit in tropical South America, east of the Andes, and rainfall excess over southeastern South America and northwest of the Andes (northern Peru, coastal Ecuador, and Colombia). These findings provide an analysis that will help to improve adaptation and risk management policies related to impacts of climate variability and change.

show abstract

“…A análise das anomalias de TSM observadas de 1900 a 1990 mostra várias mudanças no comportamento em escala decenal, com a maior mudança sendo observada nas décadas de 1970 a 1980(Balmaseda et al, 1995).Kayano e Andreoli (2004) relacionaram a precipitação no nordeste do Brasil com a variabilidade da ODP. Estudos de séries temporais de TSM têm mostrado que os fenômenos ENOS têm mudado suas características ao longo do tempo(Silva et al, 2018). Os resultados apresentados por apresentam diferenças climáticas médias na a dezembro de 2003, dos conjuntos de dados da reanálise I do NCEP-NCAR e da reanálise do JRA-55.…”

unclassified

Oscilação Decadal do Pacífico e sua influência nos padrões climáticos sazonais da América do Sul

Lima¹

View full text Add to dashboard Cite

show abstract

The analysis of global surface temperature wavelets from 1884 to 2014

Cited by 9 publications

References 66 publications

Spatial distribution of spectral SST oscillations over the equatorial pacific in the period 1888–2014

Spatial distribution of spectral SST oscillations over the equatorial pacific in the period 1888–2014

Interannual variability of Tropical Atlantic and its influence on extreme precipitation events: Focus on the Amazon Basin

Oscilação Decadal do Pacífico e sua influência nos padrões climáticos sazonais da América do Sul

Contact Info

Product

Resources

About