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Apr 7, 2023 · We introduce a temporal-correlated entropy to quantify the predictability of SST series from both global coarse-grained and local fine-grained aspects.
To address this issue, we introduce a temporal-correlated entropy to quantify the predictability of SST series from both global coarse-grained and local fine- ...
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A computationally fast method to evaluate the entropy is applied to the investigation of the information entropy of sea surface temperature in the tropical ...
On Evaluating the Predictability of Sea Surface Temperature Using Entropy. Remote Sens. 2023, 15, 1956. https://doi.org/10.3390/rs15081956. AMA Style. Jin C ...
On Evaluating the Predictability of Sea Surface Temperature Using Entropy ... The average SST predictability values of the East China Sea, Bohai Sea, and ...
May 17, 2021 · A computationally fast method to evaluate the entropy is applied to the investigation of the information entropy of sea surface temperature in ...
Oct 2, 2021 · In this study, we used a temporal convolutional network (TCN) to predict the SSTs of the Indian Ocean in the sea area of 40°E -110°E and 25°N to -25°S from ...
Jul 5, 2024 · The present study comprehensively investigates the practical and intrinsic predictability of the sea surface temperature (SST) in the Northern Tropical ...
A computationally fast method to evaluate the entropy is applied to the investigation of the information entropy of sea surface temperature in the tropical ...
Nov 19, 2024 · This study aims to assess the predictability limit of wind speed, pressure, temperature, and relative humidity using permutation entropy (PermEn) analysis.