Multiscale Correlation Analysis between Wind Direction and Meteorological Parameters in Guadeloupe Archipelago

Abstract

In this paper, the wind direction ((Formula presented.)) behaviour with respect to the variability of other meteorological parameters (i.e., rainfall (R), temperature (T), relative humidity ((Formula presented.)), solar radiation ((Formula presented.)) and wind speed (U)) was studied in a multi-scale way. To carry out this study, the Hilbert–Huang transform (HHT) framework was applied to a Guadeloupe archipelago dataset from 2016 to 2021. Thus, the time-dependent intrinsic correlation (TDIC) analysis based on multivariate empirical mode decomposition (MEMD) was performed. For time scales between ∼3 days and ∼7 months, the localized positive and negative correlations between (Formula presented.) and the meteorological parameters have been identified. The alternation between these correlations was more significant for T and (Formula presented.). With regard to (Formula presented.) and U, there was a dominance of a negative correlation with (Formula presented.). We assumed that the micro-climate previously identified in the literature for the study area plays a key role in these behaviours. A strong positive correlation between (Formula presented.) and R was found from ∼7 months to ∼2.5 years. At the annual scale, the relationships between (Formula presented.) and all meteorological parameters were long range and no significant transition in correlation was observed showing the impact of the Earth’s annual cycle on climatic variables. All these results clearly show the influence of R-T- (Formula presented.) - (Formula presented.) -U on (Formula presented.) over different time scales.