Application of lagged correlations between solar cycles and hydrosphere components towards sub-decadal forecasts of streamflows in the Western USA

Wallace, Michael G.

doi:10.1080/02626667.2019.1567925

Cited by 2 publications

(1 citation statement)

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“…The complexity of the interaction of these synoptic systems is very large and the resultant precipitation observed indicates the presence and influence of many overlapping systems, some overweight or have a certain degree of association. It presented a significant signal in 128 months (including the 11-year cycle (Schwabe, 1844;Wilson, 1998)), which may characterize an association and modulation by solar activity in multidecadal cycles in the rainfall and signal interval with longer periods of 11 years up to 256 months (22 years, Hale & Nicholson, 1938 ), which could characterize modulations induced by solar activity and also characterize multidecadal cycles in precipitation, Courtillot, et al 1982;Zanchetti, et al 2008;Shepherd, 2008;Corrêa, et al 2019 andWallace, 2019. There are scientific studies the Ozone in the stratosphere with the Brewer-Dobson circulation, transports water vapor and ozone, with implications for radiative forcing and climate, Roscoe, 2006;Abalos, et al 2014 andLiz, et al 2019. As also that relates the variability of the angular speed of rotation of the earth and the length of the day variability with solar activity influence of the magnetosphere that would cause long-term changes of the order of decadal until 150 years or more, Kramarova & Kuznetsov, 2009;Efstathiou, et al, 2009;Bozhkova, et al 2019 andHe, et al 2020. In the work of Lambert, et al 2017, which exemplifies what would affect El Niño -Southern Oscillation (ENSO) events are classically associated with a significant increase in the length of the day, with positive mountain torques arising from an east-west pressure dipole in the Pacific driving rise of atmospheric angular momentum and consequent slowing of the Earth's rotation.…”

Section: Introductionmentioning

confidence: 99%

Monthly precipitation in southeast Brazil - for analysis of random and trend changes

Corrêa¹,

Corrêa²,

Queiroz³

et al. 2022

Lat. Americ. J. of Develop.

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In this work, statistical analysis tools of the computational program were used: the computational statistical package R. Data from the monthly precipitation series were analyzed in five airports. It was shown that monthly rainfall showed variability associated with three distinct subgroups, with different intensities of precipitation and represent an overlap in cascades of different spatial and temporal scales, acting on the pattern of precipitation behavior. The use of the chi-square test using as reference the main maximal centroids, obtained by the group analysis technique, allows characterizing the variability of the maximal and possible analysis of the frequency change in the behavior of the time series. In the Spearman Coefficient test, he presented two locations with a trend, Guarulhos and Santa Cruz. However, considering the results and analyzing the metadata information from the observation stations on the surface, we can consider that there is evidence that the variability is within randomness and without showing changes in trends.

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