
Dataset composed of climate monthly time series ranging from 1950 to 2016. Variables: Norheastern Brazil precipitation NEB_highest: region with the highest Pearson correlation with ONI and TNAtl NEB_mean: average precipitation of the whole region of interest NEB_lowest: region with the lowest Pearson correlation with ONI and TNAtl Southern Ural Mountains region precipitation (SRUNK) Oceanic Niño Index (ONI) Tropical North Atlantic SST (TNAtl) Gaussian Random Time Series (random_ts) Prior time series processed by a Wavelet filter (except for the the random_ts) wavelet_NEB_highest wavelet_NEB_mean wavelet_NEB_lowest wavelet_SRUNK wavelet_AtlN wavelet_ONI ====================================================================== The dataset was created and used in the following paper: Evaluation of Time Series Causal Detection Methods on the Influence of Pacific and Atlantic Ocean over Northeastern Brazil Precipitation (pdf)(pdf) JEC Cruz, MT Kayano, AJP Calheiros, SR Garcia, MG QuilesInternational Conference on Computational Science and Its Applications (ICCSA), 2023 more information can be found in https://jkreuz.github.io/publications/
Meteorology, sea surface temperature, Equator, Climate, Equatorial climate, random time series, Atmospheric precipitation, North atlantic ocean, Brazil
Meteorology, sea surface temperature, Equator, Climate, Equatorial climate, random time series, Atmospheric precipitation, North atlantic ocean, Brazil
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