1. Sea Surface Temperature monitoring in Italian Seas: Analysis of long-term trends and short-term dynamics.
- Author
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Picone, M., Orasi, A., and Nardone, G.
- Subjects
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OCEAN temperature , *SEA surface microlayer , *DYNAMICS , *ANALYTICAL mechanics , *TIME series analysis - Abstract
Highlights • Long term time series returns fundamental information on climate studies. • Short term time series returns information on temperature dynamics. • Comparison of heterogeneous series should account local dynamics and uncertainty. • RMN data represent an additional source of information in coastal areas. Abstract The aim of this paper is to give an overview of the various measurement collections that contribute to the observation of Sea Surface Temperature in Italian Seas. Long term time series are collected since the 19th century but are affected by a large systematic errors. Despite the lack of accuracy, their contribution to the analysis of trends is fundamental into the climate change context. On the other hand, recent systematic observations are more accurate and continuous in space and time. Short term time series better define the status of the temperature during the last years in term of variability and dynamics. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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