Maximum covariance analysis to identify intraseasonal oscillations over tropical Brazil

Barreto, Naurinete de Jesus da Costa; Mesquita, Michel D. S.; Mendes, David; Spyrides, Maria Helena Constantino; Pedra, George Ulguim; Lúcio, Paulo Sérgio

doi:10.1007/s00382-016-3401-3

Cited by 14 publications

(10 citation statements)

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“…The analyses were performed based on the intraseasonal index proposed by Barreto et al (), taking the precipitation area of 10°N–40°S and 80°W–24°W. First, the daily anomalies of the variables were filtered using the Butterworth filter (Russell, ) to remove the frequencies < 20 and > 100 days to keep the intraseasonal band.…”

Section: Methodssupporting

confidence: 88%

“…The analyses were performed based on the intraseasonal index proposed by Barreto et al (2017), taking the precipitation area of 10 N-40 S and 80 W-24 W. First, the daily anomalies of the variables were filtered using the Butterworth filter (Russell, 2006) to remove the frequencies < 20 and > 100 days to keep the intraseasonal band. The MCA was applied to the daily filtered data of precipitation over South America and the OLR and zonal wind component (U) at 850 (U850) and 200 hPa (U200) averaged between 15 N and 15 S along these circles of latitude.…”

Section: Methodsmentioning

confidence: 99%

“…were calculated based on the two modes. A detailed explanation of the method is presented by Barreto et al (). Events with an amplitude ≥ 1.5 were selected in order to perform a composition for each phase during December–February.…”

Section: Methodsmentioning

confidence: 99%

“…Wheeler and Hendon (2004) gov/psd/mjo/mjoindex/.) Barreto et al (2017) analysed the intraseasonal signal over tropical Brazil, using a multivariate index that represented the convection associated with the regional precipitation. This multivariate intraseasonal index for tropical Brazil (MITB) is based on maximum covariance analysis (MCA) applied to filtered daily anomalies of rainfall data over tropical Brazil against other atmospheric variables: the OLR and zonal wind fields at 850 and 200 hPa.…”

mentioning

confidence: 99%

“…The main objective of this study is to apply an intraseasonal index for South American precipitation by using the methodology proposed by Barreto et al (2017), but extending the precipitation area over South America from 10 N to 40 S. The index is used to analyse composites of selected cases in a space-phase diagram and to discuss the large-scale patterns of the OLR and wind anomalies in different phases of the MJO and the relations with precipitation over South America.…”

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confidence: 99%

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Multivariate intraseasonal rainfall index applied to South America

Barreto

Cavalcanti

Mesquita

et al. 2019

Meteorological Applications

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The intraseasonal variability over South America is investigated using a multivariate index based on maximum covariance analysis (MCA). This technique identifies the correlation patterns of two different data sets. The Climate Prediction Center (CPC) grid precipitation over South America and the tropical means (15°N–15°S) of outgoing long wave radiation (OLR) and zonal wind component at 850 and 200 hPa (National Oceanic and Atmospheric Administration (NOAA) and National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) reanalysis, respectively) are used in the study. The MCA was applied to these data sets and a Multivariate Intraseasonal Rainfall Index for South America for South America (MIRI.SA) was constructed based on the phase and amplitude vectorial projections of the first two modes. Composites of selected cases when the amplitude was above a threshold are discussed for different phases of the Madden–Julian Oscillation (MJO). Phases (8+1) and (4+5) present strong convection anomalies over the maritime continent and South America, but with opposite signs. These patterns represent the dominant mode of precipitation over South America. Phases (2+3) and (6+7) are transient and related to the secondary mode of precipitation over South America. A space‐phase diagram calculated using the MIRI.SA index at different lags represents the positive precipitation locations over both South America and the Equatorial Pacific. The construction of this diagram in near real time could be used for monitoring precipitation extremes over different areas of South America.

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Section: Methodssupporting

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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