FN Archimer Export Format
PT J
TI Observation-based Sea surface temperature trends in Atlantic large marine ecosystems
BT 
AF Kessler, Augustin
   Goris, Nadine
   Lauvset, Siv Kari
AS 1:1;2:1;3:1;
FF 1:;2:;3:;
C1 NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway
C2 NORCE, NORWAY
IF 4.1
TC 8
UR https://archimer.ifremer.fr/doc/00795/90663/96253.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;Large Marine Ecosystems;SST trends;In-situ observations
AB Variations in Sea Surface Temperature (SST) are an important driver of marine species abundance in Large Marine Ecosystems (LMEs). Studies concerned with climate change induced SST trends within these LMEs have so far been relying on satellite data and reanalysis products, with the disadvantages of only having short time-periods available and having to rely on the ability of the models to correctly simulate SST-dynamics, respectively. Here, we provide for the first time a long-term trend analysis of SST for 17 LMEs of the Atlantic Ocean over two different time-periods (1957–2020 and 1980–2020) based on in-situ data gathered from three data collections. We sort our results according to warming categories that were established in an earlier study, i.e., “cooling” (below 0 °C/dec), “slow” (0–0.07 °C/dec), “moderate” (0.07–0.14 °C/dec), “fast” (0.14–0.21 °C/dec) and “superfast” (above 0.21 °C/dec). Our results show a persistent “slow” to “superfast” warming in all considered LMEs. However, the sparse data coverage induces large uncertainties, so that many LMEs cannot uniquely be assigned to one warming category only. We detect no systematic changes in the seasonal SST amplitude of the considered LMEs. We find that the LMEs of the North Atlantic warm faster than those of the South Atlantic and that this difference is increasing with time. Out of the North Atlantic LMEs, the Norwegian Sea, North Sea, Celtic-Biscay Shelf, Gulf of Mexico and the Northeast U.S. Continental Shelf belong exclusively to the superfast warming category for the period 1980–2020. 
PY 2022
PD NOV
SO Progress In Oceanography
SN 0079-6611
PU Elsevier BV
VL 208
UT 000870866500001
DI 10.1016/j.pocean.2022.102902
ID 90663
ER

EF