Frequency Distributions of Geochemical Data, Scaling Laws, and Properties of Compositions

Abstract

Abstract-Oceans play a key role in energy storage in the global Earth-Ocean-Atmosphere system. Within this framework, the knowledge of past evolution and future trends of sea surface temperature is crucial for the future climate scenarios. Previous studies have highlighted the role of sea surface temperature as an important ingredient for the development and/or intensification of heavy precipitation events in the Western Mediterranean basin but have also highlighted its role in heat waves in Europe. In this study, a consistent warming trend has been found for daily sea surface temperature data series derived from satellites for the whole Mediterranean region and for different temporal scales, from daily to monthly, seasonal and decadal estimates. Additionally, spatial clustering analysis has been run to look for its spatial structure. Two main distribution modes have been found for sea surface temperature in winter and summer, while spring and fall show transitional regimes. Winter mode shows a north-to-south increasing gradient banded structure while summer regime presents a set of well-differentiated areas.

A New Discovery of Cu Mineralization in the North Qaidam, Tibet via Log-Ratio, Robust Factor Analysis, and Spectrum–Area Modeling

“…However, the above methods do not account for the compositional nature of geochemical data [4,6,23]. Two issues must be addressed to accurately obtain mineralization-related anomalies of multivariate geochemical footprints from the data: (1) the presence of outliers in geochemical data sets, which can lead to biased extraction of multivariate associations using classical statistical estimators [24][25][26], and (2) the closure problem of compositional data [27][28][29].…”