Coastal ocean climatology of temperature and salinity off the Southern California Bight: Seasonal variability, climate index correlation, and linear trend. (November 2015)

• Record Type: Journal Article
• Authors: Kim, Sung Yong; Cornuelle, Bruce D.
• Is Part Of: Progress in oceanography. Volume 138 Part A (2015:Nov.)
• Page Start: 136
• Page End: 157
• Publication Date: 2015-11
• Subjects: Oceanography -- Periodicals; 551.4605
• DOI: 10.1016/j.pocean.2015.08.001
• Languages: English
• ISSNs: 0079-6611

Abstract

Graphical abstract: Highlights: A coastal climatology derived from a multivariate regression. Consistency of near-shore and offshore observations of temperature and salinity. Relevant coastal dynamics and circulation at two different scales, i.e., near-shore and offshore waters. Offshore propagating features of seasonal Rossby wave in the temperature profiles. Climate indices-coherent structure. Abstract: A coastal ocean climatology of temperature and salinity in the Southern California Bight is estimated from conductivity–temperature–depth (CTD) and bottle sample profiles collected by historical California Cooperative Oceanic Fisheries Investigation (CalCOFI) cruises (1950–2009; quarterly after 1984) off southern California and quarterly/monthly nearshore CTD surveys (within 30 km from the coast except for the surfzone; 1999–2009) off San Diego and Los Angeles. As these fields are sampled regularly in space, but not in time, conventional Fourier analysis may not be possible. The time dependent temperature and salinity fields are modeled as linear combinations of an annual cycle and its five harmonics, as well as three standard climate indices (El Niňo-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Pacific Gyre Oscillation (NPGO)), the Scripps Pier temperature time series, and a mean and linear trend without time lags. Since several of the predictor indices are correlated, the indices are successively orthogonalized to eliminate ambiguity in the identification of the contributed variance of each component. Regression coefficients are displayed in both vertical transects and horizontal maps to evaluate (1) whether the temporal and spatial scales of the two data sets of nearshore and offshore observations are consistent and (2) how oceanic variability at a regional scale is related to variability in the nearshore waters. The data-derived climatology can be used to identify anomalous events and atypical behaviors in regional-scale oceanic variability and to provide background ocean estimates for mapping or modeling.