Climate Time Series: precipitation, SST, ONI and random time series

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

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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/