2019
DOI: 10.1029/2018gl080695
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Impact of Colored Dissolved Materials on the Annual Cycle of Sea Surface Temperature: Potential Implications for Extreme Ocean Temperatures

Abstract: Because colored dissolved materials (CDMs) trap incoming sunlight closer to the surface, they have the potential to affect sea surface temperatures. We compare two models, one with and one without CDMs, and show that their presence leads to an increase in the amplitude of the seasonal cycle over coastal and northern subpolar regions, which may exceed 2 °C. The size and sign of the change are controlled by the interplay between enhanced shortwave heating of the surface, shading and cooling of the subsurface, an… Show more

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Cited by 17 publications
(12 citation statements)
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“…In contrast to the summertime surface warming, lower SSTs occur in winter (not shown here). These changes are accompanied by an amplified seasonal cycle of surface temperature (Figure 3b) implying changes in temperature extremes (Gnanadesikan et al, 2019) with potential ecological implications.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In contrast to the summertime surface warming, lower SSTs occur in winter (not shown here). These changes are accompanied by an amplified seasonal cycle of surface temperature (Figure 3b) implying changes in temperature extremes (Gnanadesikan et al, 2019) with potential ecological implications.…”
Section: Resultsmentioning
confidence: 99%
“…Previous modeling efforts focused on the effect of phytoplankton on ocean physics. The CDOM effect was either not considered or constant values of its absorption were used in the model's light attenuation scheme (Gnanadesikan et al, 2019; Kim et al, 2016, 2018). In a step forward, Kim et al (2018), by prescribing interannually averaged absorption estimates from a satellite data set, suggested that increased CDOM and suspended material may slow down the global warming effect on the ocean.…”
Section: Implications and Conclusionmentioning
confidence: 99%
“…In this study, we present the absorption coefficient (m −1 ) at a wavelength of 350 nm: a CDOM (350). The wavelength was selected to make the results comparable with previous studies in Arctic waters (Granskog et al, 2012;Gonçalves-Araújo et al, 2015;Pavlov et al, 2016). The spectral slope of the absorption spectra in the wavelength range between 275 and 295 nm (S 275−295 ) and between 300 and 600 nm (S 300−600 ) was calculated by fitting with an exponential function a CDOM (λ) = a CDOM (λ0) × e − S(λ − λ0).…”
Section: Sample Preparation and Analytical Methodsmentioning
confidence: 99%
“…Jerlov (1976) developed a classification for different water masses based on specific optical properties. This classification is widely used in numerical ocean models (e.g., Griffies, 2004). For global models, this parametrization works reasonably well.…”
Section: Introductionmentioning
confidence: 87%
“…For model testing, we have used a similar model system to that in Neumann et al (2015). The circulation model is MOM5.1 (Griffies, 2004) adapted for the Baltic Sea. The horizontal resolution is 3 nautical miles.…”
Section: Circulation and Biogeochemical Modelmentioning
confidence: 99%