Figure 1. Annual mean blended surface air/sea surface temperature (°C) averaged for 1981–2010 based on the 5°× 5° data prepared by Climate Research Unit of the University of East Anglia (UEA CRU, Norwich, UK). Regionally, temperature is determined by orography, atmospheric centers of...
Patterns of sea surface temperature (SST) variability on interannual and longer timescales result from a combination of atmospheric and oceanic processes. These SST anomaly patterns may be due to intrinsic modes of atmospheric circulation variability that imprint themselves upon the SST field mainly via...
Recent gridded and historical data are used in order to assess the relationships between interannual variability of the Indian summer monsoon (ISM) and sea surface temperature (SST) anomaly patterns over the Indian and Pacific oceans. Interannual variability of ISM rainfall and dynamical indices for ...
In this paper, a novel interpolation technique based on a greatly simplified Kalman filtering approach is presented which enables satellite sea surface temperature observations to be assimilated into a three-dimensional baroclinic model of the North Sea. A series of numerical experiments of the annual ...
By definition, Tfdn is the temperature of the water below the diurnal warm layer. Thus, near-surface SSTs within the diurnal warm layer, such as the 0.6 m SST measured by Saildrone, Inc. USVs during a mission to the eastern (~125° W) tropical Pacific (Fig. 2a,b), show dayti...
今天找到了一篇比较早的论文看,内容是利用长短期记忆对海水温度进行预测。现在就按照论文的顺序对于这篇论文做一下自己的总结笔记。 论文首先对其所用的LSTM模型进行了介绍,提出了一种LSTM+全连接层的网络结构,成功的实现了对海水温度的预测,其中主要分两个layer。一个是LSTM layer,一个是全连接layer。
A 42-year climate data record of global sea surface temperature (SST) covering 1980 to 2021 has been produced from satellite observations, with a high degree of independence from in situ measurements. Observations from twenty infrared and two microwave r
There is strong evidence that Indian Ocean sea surface temperatures (SSTs) influence the climate variability of Southern Asia and Africa; hence, accurate prediction of these SSTs is a high priority. In this study, we use canonical correlation analysis (CCA) to design empirical models to assess th...
On a global scale, an example where natural variability in the Pacific Ocean is thought to have played an important role for global climate is through the so-called “hiatus” or slowdown in the rate of increase in global mean surface temperature (GMST). Studies have shown that the hiatus ...
Here, by analyzing the Coupled Model Intercomparison Project simulations, we show that future precipitation changes are tightly linked to the response of each type of El Niño to the tropical Pacific mean sea surface temperature (SST) change. A La Niña-like mean SST change intensifies basin-...