Global Synthesis of Sea-Surface Temperature Trends During Marine Isotope Stage 11

2014 ◽  
pp. 13-18
Author(s):  
Yvonne Milker ◽  
Rima Rachmayani ◽  
Manuel F. G. Weinkauf ◽  
Matthias Prange ◽  
Markus Raitzsch ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Marine Isotope Stage ◽  
Temperature Trends

scholarly journals Holocene and Eemian sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry

2010 ◽  
Vol 29 (7-8) ◽  
pp. 989-1004 ◽  
Author(s):  
G. Leduc ◽  
R. Schneider ◽  
J.-H. Kim ◽  
G. Lohmann
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Temperature Trends

Sea Surface Temperature Trends in the Coastal Zone of British Columbia, Canada

2015 ◽  
Vol 300 ◽  
pp. 434-446 ◽  
Author(s):  
Carl L. Amos ◽  
S. Martino ◽  
T.F. Sutherland ◽  
T. Al Rashidi
Keyword(s):  
British Columbia ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Coastal Zone ◽  
Sea Surface ◽  
Temperature Trends

scholarly journals Global and regional sea surface temperature trends during Marine Isotope Stage 11

2013 ◽  
Vol 9 (1) ◽  
pp. 837-890 ◽  
Author(s):  
Y. Milker ◽  
R. Rachmayani ◽  
M. Weinkauf ◽  
M. Prange ◽  
M. Raitzsch ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Time Frame ◽  
Meridional Overturning Circulation ◽  
Sea Surface ◽  
Marine Isotope Stage ◽  
Orbital Forcing ◽  
Climate System Model ◽  
Climatic Optimum ◽  
Sst Anomalies

Abstract. The Marine Isotope Stage (MIS) 11 (424–374 ka) was characterized by a protracted deglaciation and an unusually long climatic optimum. It remains unclear to what degree the climate development during this interglacial reflects the unusually weak orbital forcing or greenhouse gas trends. Previously, arguments about the duration and timing of the MIS11 climatic optimum and about the pace of the deglacial warming were based on a small number of key records, which appear to show regional differences. In order to obtain a global signal of climate evolution during MIS11, we compiled a database of 78 sea surface temperature (SST) records from 57 sites spanning MIS11, aligned these individually on the basis of benthic (N = 28) or planktonic (N = 31) stable oxygen isotope curves to a common time-frame and subjected 48 of them to an Empirical Orthogonal Function (EOF) analysis. The analysis revealed a high commonality among all records, with the principal SST trend explaining almost 49% of the variability. This trend indicates that on the global scale, the surface ocean underwent rapid deglacial warming during Termination V, in pace with carbon dioxide rise, followed by a broad SST optimum centered at ~ 410 kyr. The second EOF, which explained 19% of the variability, revealed the existence of a different SST trend, characterized by a delayed onset of the temperature optimum during MIS11 at ~ 398 kyr, followed by a prolonged warm period lasting beyond 380 kyr. This trend is most consistently manifested in the mid-latitude North Atlantic and Mediterranean Sea and is here attributed to the strength of the Atlantic meridional overturning circulation. A sensitivity analysis indicates that these results are robust to record selection and to age-model uncertainties of up to 3–6 kyr, but more sensitive to SST seasonal attribution and SST uncertainties > 1 °C. In order to assess the effect of orbital forcing on MIS11 SST trends, the annual and seasonal SST anomalies recorded in a total of 74 proxy records were compared with CCSM3 (Community Climate System Model, version 3) runs for three time slices representing orbital configuration extremes during the peak interglacial of MIS11. The modeled SST anomalies are characterized by a significantly lower variance compared to the reconstructions. Nevertheless, significant correlations between proxy and model data are found in comparisons on the seasonal basis, indicating that the model captures part of the long-term variability induced by astronomical forcing, which appears to have left a detectable signature in SST trends.

scholarly journals NGHIÊN CỨU XU THẾ BIẾN ĐỘNG TRƯỜNG NHIỆT ĐỘ BỀ MẶT BIỂN VÀ ẢNH HƯỞNG CỦA ENSO ĐẾN VÙNG BIỂN TÂY NAM VIỆT NAM SỬ DỤNG DỮ LIỆU VIỄN THÁM VÀ GIS

2020 ◽  
Vol 20 (2) ◽  
pp. 129-141
Author(s):  
Tran Anh Tuan ◽  
Vu Hai Dang ◽  
Pham Viet Hong ◽  
Do Ngoc Thuc ◽  
Nguyen Thuy Linh ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Monsoon Season ◽  
Linear Regression Analysis ◽  
Southwest Monsoon ◽  
Sea Surface ◽  
Northeast Monsoon ◽  
Temperature Trends ◽  
Sea Surface Temperature Anomalies ◽  
Southwest Monsoon Season

In this article, the sea surface temperature trends and the influence of ENSO on the southwest sea of Vietnam were analyzed using the continuous satellite-acquired data sequence of SST in the period of 2002–2018. GIS and average statistical methods were applied to calculate the average monthly and seasonal sea surface temperature, the seasonal sea surface temperature anomalies for each year and for the whole study period. Subsequently, the changing trends of sea surface temperature in the northeast and southwest monsoon seasons were estimated using linear regression analysis. Research results indicated that the sea surface temperature changed significantly throughout the calendar year, in which the maximum and minimum sea surface temperature are 31oC in May and 26oC in January respectively. Sea surface temperature trends range from 0oC/year to 0.05oC/year during the Northeast monsoon season and from 0.025oC/year to 0.055oC/year during the southwest monsoon season. Results based on the Oceanic Niño Index (ONI) analysis also show that the sea surface temperature in the study area and adjacent areas is strongly influenced and significantly fluctuates during El Niño and La Niña episodes.

scholarly journals A model–data comparison of the Holocene global sea surface temperature evolution

2013 ◽  
Vol 9 (4) ◽  
pp. 1807-1839 ◽  
Author(s):  
G. Lohmann ◽  
M. Pfeiffer ◽  
T. Laepple ◽  
G. Leduc ◽  
J.-H. Kim
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
General Pattern ◽  
Sea Surface ◽  
Temperature Evolution ◽  
Model Data ◽  
Proxy Data ◽  
The Holocene ◽  
Temperature Trends ◽  
Reconstructed Temperature

Abstract. We compare the ocean temperature evolution of the Holocene as simulated by climate models and reconstructed from marine temperature proxies. We use transient simulations from a coupled atmosphere–ocean general circulation model, as well as an ensemble of time slice simulations from the Paleoclimate Modelling Intercomparison Project. The general pattern of sea surface temperature (SST) in the models shows a high-latitude cooling and a low-latitude warming. The proxy dataset comprises a global compilation of marine alkenone- and Mg/Ca-derived SST estimates. Independently of the choice of the climate model, we observe significant mismatches between modelled and estimated SST amplitudes in the trends for the last 6000 yr. Alkenone-based SST records show a similar pattern as the simulated annual mean SSTs, but the simulated SST trends underestimate the alkenone-based SST trends by a factor of two to five. For Mg/Ca, no significant relationship between model simulations and proxy reconstructions can be detected. We test if such discrepancies can be caused by too simplistic interpretations of the proxy data. We explore whether consideration of different growing seasons and depth habitats of the planktonic organisms used for temperature reconstruction could lead to a better agreement of model results with proxy data on a regional scale. The extent to which temporal shifts in growing season or vertical shifts in depth habitat can reduce model–data misfits is determined. We find that invoking shifts in the living season and habitat depth can remove some of the model–data discrepancies in SST trends. Regardless whether such adjustments in the environmental parameters during the Holocene are realistic, they indicate that when modelled temperature trends are set up to allow drastic shifts in the ecological behaviour of planktonic organisms, they do not capture the full range of reconstructed SST trends. Results indicate that modelled and reconstructed temperature trends are to a large degree only qualitatively comparable, thus providing a challenge for the interpretation of proxy data as well as the model sensitivity to orbital forcing.

Sea Surface Temperature Trends in Venice Lagoon and the Adjacent Waters

2017 ◽  
Vol 332 ◽  
pp. 385-395 ◽  
Author(s):  
Carl L. Amos ◽  
G. Umgiesser ◽  
M. Ghezzo ◽  
H. Kassem ◽  
C. Ferrarin
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Venice Lagoon ◽  
Sea Surface ◽  
Temperature Trends
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