scholarly journals Trends in sea surface temperature of the Sea of Okhotsk and adjacent water areas by satellite data in 1998–2017

2019 ◽  
pp. 55-61 ◽  
Author(s):  
D. M. Lozhkin ◽  
G. V. Shevchenko
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Of Okhotsk ◽  
Linear Trend ◽  
Heat Content ◽  
Water Area ◽  
Sea Surface ◽  
The Sea Of Okhotsk ◽  
Adjacent Water ◽  
Winter Convection

For the Sea of Okhotsk and the adjacent water areas, a series of mean monthly sea surface temperature values were computed from satellite measurements of 20 years (1998–2017). In each space cell, the coefficients of the linear trend are determined by the method of least squares. Such coefficients were calculated for each month separately, for the whole series as a whole, and also for average values of the temperature for the season. The relationship of these coefficients to the observed decrease in ice extent in the water area of the Sea of Okhotsk during the last twenty years has been analyzed. It is shown that the heat content of the surface layer in this basin decreases, most significantly in its northern and western parts. This trend is especially pronounced in the spring, which may be due to a decrease in ice cover and a more significant cooling of the waters due to winter convection.

Variation of alkenone sea surface temperature in the Sea of Okhotsk over the last 85 kyrs

2004 ◽  
Vol 35 (3) ◽  
pp. 347-354 ◽  
Author(s):  
O Seki ◽  
K Kawamura ◽  
M Ikehara ◽  
T Nakatsuka ◽  
T Oba
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Of Okhotsk ◽  
Sea Surface ◽  
The Sea Of Okhotsk

scholarly journals Tropical and Extratropical predictions of the summer and autumn Niño3.4 Index: a comparison

2016 ◽  
Vol 42 ◽  
pp. 73-81
Author(s):  
Miguel Tasambay-Salazar ◽  
María José OrtizBeviá ◽  
Antonio RuizdeElvira ◽  
Francisco José Alvarez-García
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Linear Models ◽  
Southern Oscillation ◽  
Heat Content ◽  
Sea Surface ◽  
South Pacific Convergence Zone ◽  
Lead Times ◽  
Convergence Zone ◽  
The World

Abstract. The El Niño-Southern Oscillation (ENSO) phenomenon is the main source of the predictability skill in many regions of the world for seasonal and interannual timescales. Longer lead predictability experiments of Niño3.4 Index using simple statistical linear models have shown an important skill loss at longer lead times when the targeted season is summer or autumn. We develop different versions of the model substituting some its variables with others that contain tropical or extratropical information, produce a number of hindcasts with these models using two different predictions schemes and cross validate them. We have identified different sets of tropical or extratropical predictors, which can provide useful values of potential skill. We try to find out the sources of the predictability by comparing the sea surface temperature (SST) and heat content (HC) anomalous fields produced by the successful predictors for the 1980–2012 period. We observe that where tropical predictors are used the prediction reproduces only the equatorial characteristics of the warming (cooling). However, where extratropical predictors are included, the predictions are able to simulate the absorbed warming in the South Pacific Convergence Zone (SPCZ).

Sea Surface Temperature in the Subtropical Pacific Boosted the 2015 El Niño and Hindered the 2016 La Niña

2018 ◽  
Vol 31 (2) ◽  
pp. 877-893 ◽  
Author(s):  
Jingzhi Su ◽  
Renhe Zhang ◽  
Xinyao Rong ◽  
Qingye Min ◽  
Congwen Zhu
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
El Niño ◽  
El Nino ◽  
Heat Content ◽  
Equatorial Region ◽  
La Niña ◽  
Sea Surface ◽  
La Nina ◽  
Super El Niño

After the quick decaying of the 2015 super El Niño, the predicted La Niña unexpectedly failed to materialize to the anticipated standard in 2016. Diagnostic analyses, as well as numerical experiments, showed that this ENSO evolution of the 2015 super El Niño and the hindered 2016 La Niña may be essentially caused by sea surface temperature anomalies (SSTAs) in the subtropical Pacific. The self-sustaining SSTAs in the subtropical Pacific tend to weaken the trade winds during boreal spring–summer, leading to anomalous westerlies along the equatorial region over a period of more than one season. Such long-lasting wind anomalies provide an essential requirement for ENSO formation, particularly before a positive Bjerknes feedback is thoroughly built up between the oceanic and atmospheric states. Besides the 2015 super El Niño and the hindered La Niña in 2016, there were several other El Niño and La Niña events that cannot be explained only by the oceanic heat content in the equatorial Pacific. However, the questions related to those eccentric El Niño and La Niña events can be well explained by suitable SSTAs in the subtropical Pacific. Thus, the leading SSTAs in the subtropical Pacific can be treated as an independent indicator for ENSO prediction, on the basis of the oceanic heat content inherent in the equatorial region. Because ENSO events have become more uncertain under the background of global warming and the Pacific decadal oscillation during recent decades, thorough investigation of the role of the subtropical Pacific in ENSO formation is urgently needed.

scholarly journals Experimental forecast of thermal conditions in the South Kuril region in summer by modified Fourier method

2021 ◽  
Vol 201 (2) ◽  
pp. 458-469
Author(s):  
T. A. Shatilina ◽  
G. Sh. Tsitsiashvili ◽  
T. V. Radchenkova
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Air Temperature ◽  
Temperature Anomaly ◽  
Linear Trend ◽  
Fourier Method ◽  
Thermal Conditions ◽  
Sea Surface ◽  
Fourier Decomposition ◽  
South Kuril Region

Time series of air temperature and sea surface temperature in South Kuril region in July and August are extrapolated to 2020–2024 using modified method of Fourier decomposition. Both cyclic harmonic components and linear trend are accounted. Two main cycles with period of 2 years and 6–7 years dominate in variability of air temperature anomaly (in Wakkanai, Abashiri, Nemuro) and sea surface temperature anomaly (at Кurilsk, Yuzhno-Kurilsk, Malokurilskoe, in the area of Soya Current, and in the area southeastward from Hokkaido), as well as in variability of AT 500 hPa height in the regional centers of atmospheric action, as Far-Eastern depression and Okhotsk anticyclone.

Sign in / Sign up

Export Citation Format

Share Document