We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Improved space–time sea surface salinity mapping in Western Pacific ocean using contingogram modeling.
- Authors
He, Mingjun; He, Junyu; Christakos, George
- Abstract
In the context of statistical correlation theory and geostatistics, the covariance function has been widely used to characterize the space–time variability of physical attributes in ocean and marine sciences, including sea surface salinity. Salinity (together with temperature) is a very important attribute to track and understand, because it plays a key role in the study of the ocean circulation and climate change. Yet, space–time monitoring, modeling and estimating salinity distributions in the oceans impose considerable challenges. This work addresses the significant modeling challenge that although the covariance function is the standard quantitative tool used to characterize the variability of sea surface salinity, it has some noticeable limitations (undervaluation, indiscrimination and permissibility). Accordingly, this work proposes the use of the contingogram function in the space–time characterization and mapping of sea surface salinity in the West Pacific region (China), because: (a) it avoids the modeling limitations of the mainstream covariance function, (b) it leads to a new (contingogram-based) space–time correlation notion that offers a better representation of the distribution of the empirical salinity data than the standard covariance notion, and (c) when compared to the salinity maps obtained in terms of the standard covariance function, the contingogram-based salinity maps were found to be more accurate and informative.
- Subjects
SALINITY; OCEANOGRAPHY; SEAWATER salinity; OCEAN circulation; OCEAN; MARINE sciences; OSMOTIC pressure
- Publication
Stochastic Environmental Research & Risk Assessment, 2020, Vol 34, Issue 2, p355
- ISSN
1436-3240
- Publication type
Article
- DOI
10.1007/s00477-019-01764-1