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| Desbruyeres, D.g.; Mcdonagh, E. L.; King, B. A.; Garry, F. K.; Blaker, A. T.; Moat, B. I.; Mercier, Herle. |
| The vertical structure of temperature trends in the northeastern Atlantic (NEA) is investigated using a blend of Argo and hydrography data. The representativeness of sparse hydrography sampling in the basin mean is assessed using a numerical model. Between 2003 and 2013, the NEA underwent a strong surface cooling (0–450 m) and a significant warming at intermediate and deep levels (1000 m to 3000 m) that followed a strong cooling trend observed between 1988 and 2003. During 2003–2013, gyre-specific changes are found in the upper 1000 m (warming and cooling of the subtropical and subpolar gyres, respectively), while the intermediate and deep warming primarily occurred in the subpolar gyre, with important contributions from isopycnal heave and water mass... |
| Tipo: Text |
Palavras-chave: North Atlantic; Temperature; Observations; Hiatus. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00236/34677/33026.pdf |
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| Garry, F. K.; Mcdonagh, E. L.; Blaker, A. T.; Roberts, C. D.; Desbruyères, Damien; Frajka-williams, E.; King, B. A.. |
| We construct a novel framework to investigate the uncertainties and biases associated with estimates of deep ocean temperature change from hydrographic sections, and demonstrate this framework in an eddy‐permitting ocean model. Biases in estimates from observations arise due to sparse spatial coverage (few sections in a basin), low frequency of occupations (typically 5‐10 years apart), mismatches between the time period of interest and span of occupations, and from seasonal biases relating to the practicalities of sampling during certain times of year. Between the years 1990 and 2010, the modeled global abyssal ocean biases are small, although regionally some biases (expressed as a heat flux into the 4000 ‐ 6000 m layer) can be up to 0.05 W m−2. In this... |
| Tipo: Text |
Palavras-chave: Deep oceans; Temperature trends; Ocean heat content; Decadal variability; Ocean modeling; Observational uncertainties. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00479/59021/61642.pdf |
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