scholarly journals Delimitation of the warm and cold period of the year based on the variation of the Aegean sea surface temperature

2004 ◽  
Vol 5 (1) ◽  
pp. 159
Author(s):  
A. MAVRAKIS ◽  
S. LYKOUDIS ◽  
G. THEOHARATOS
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Annual Variation ◽  
Aegean Sea ◽  
Cold Season ◽  
Living Conditions ◽  
Warm Period ◽  
Sea Surface ◽  
Cold Period ◽  
Occupational Activities

Knowledge of the warm and cold season onset is important for the living conditions and the occupational activities of the inhabitants of a given area, and especially for agriculture and tourism. This paper presents a way to estimate the onset/end of the cold and warm period of the year, based on the sinusoidal annual variation of the Sea Surface Temperature. The method was applied on data from 8 stations of the Hellenic Navy Hydrographic Service, covering the period from 1965-1995. The results showed that the warm period starts sometime between April 28th and May 21st while it ends between October 27th and November 19th in accordance with the findings of other studies. Characteristic of the nature of the parameter used is the very low variance per station – 15 days at maximum. The average date of warm period onset is statistically the same for the largest part of the Aegean, with only one differentiation, that between Kavala and the southern stations ( Thira and Heraklion).

Present and Past Sea Surface Temperatures: A Recipe for Better Seasonal Climate Forecasts

2020 ◽  
Vol 35 (4) ◽  
pp. 1221-1234
Author(s):  
Matthew B. Switanek ◽  
Joseph J. Barsugli ◽  
Michael Scheuerer ◽  
Thomas M. Hamill
Keyword(s):  
United States ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
The United States ◽  
Cold Season ◽  
Sea Surface ◽  
Precipitation Forecast ◽  
The North ◽  
Model Ensembles ◽  
Tropical Sea

AbstractMonthly tropical sea surface temperature (SST) data are used as predictors to make statistical forecasts of cold season (November–March) precipitation and temperature for the contiguous United States. Through the use of the combined-lead sea surface temperature (CLSST) model, predictive information is discovered not just in recent SSTs but also from SSTs up to 18 months prior. We find that CLSST cold season forecast anomaly correlation skill is higher than that of the North American Multimodel Ensemble (NMME) and the SEAS5 model from the European Centre for Medium-Range Weather Forecasts (ECMWF) when averaged over the United States for both precipitation and 2-m air temperature. The precipitation forecast skill obtained by CLSST in parts of the Intermountain West is of particular interest because of its implications for water resources. In those regions, CLSST dramatically improves the skill over that of the dynamical model ensembles, which can be attributed to a robust statistical response of precipitation in this region to SST anomalies from the previous year in the tropical Pacific.

scholarly journals Long-term sea surface temperature variability in the Aegean Sea

2011 ◽  
Vol 2 (2) ◽  
pp. 125-139 ◽  
Author(s):  
Nikolaos Skliris ◽  
Sarantis S. Sofianos ◽  
Athanasios Gkanasos ◽  
Panagiotis Axaopoulos ◽  
Anneta Mantziafou ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Aegean Sea ◽  
Temperature Variability ◽  
Sea Surface

scholarly journals Long-term sea surface temperature variability in the Aegean Sea

2011 ◽  
Vol 2 (2) ◽  
pp. 125 ◽  
Author(s):  
Nikolaos Skliris ◽  
Sarantis S. Sofianos ◽  
Athanasios Gkanasos ◽  
Panagiotis Axaopoulos ◽  
Anneta Mantziafou ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Aegean Sea ◽  
Sea Surface ◽  
Surface Warming ◽  
In Situ Data ◽  
Nao Index ◽  
Decadal Scale

The inter-annual/decadal scale variability of the Aegean Sea Surface Temperature (SST) is investigated by means of long-term series of satellite-derived and in situ data. Monthly mean declouded SST maps are constructed over the 1985–2008 period, based on a re-analysis of AVHRR Oceans Pathfinder optimally interpolated data over the Aegean Sea. Basin-average SST time series are also constructed using the ICOADS in situ data over 1950–2006. Results indicate a small SST decreasing trend until the early nineties, and then a rapid surface warming consistent with the acceleration of the SST rise observed on the global ocean scale. Decadal-scale SST anomalies were found to be negatively correlated with the winter North Atlantic Oscillation (NAO) index over the last 60 years suggesting that along with global warming effects on the regional scale, a part of the long-term SST variability in the Aegean Sea is driven by large scale atmospheric natural variability patterns. In particular, the acceleration of surface warming in the Aegean Sea began nearly simultaneously with the NAO index abrupt shift in the mid-nineties from strongly positive values to weakly positive/negative values.

High-amplitude variations in North Atlantic sea surface temperature during the early Pliocene warm period

2009 ◽  
Vol 24 (2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Kira T. Lawrence ◽  
Timothy D. Herbert ◽  
Catherine M. Brown ◽  
Maureen E. Raymo ◽  
Alan M. Haywood
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
North Atlantic ◽  
High Amplitude ◽  
Warm Period ◽  
Sea Surface ◽  
Early Pliocene
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