海洋要素智能预报

多尺度耦合经验正交分解法反演海洋次表层温盐结构 featured image

多尺度耦合经验正交分解法反演海洋次表层温盐结构

针对提升利用卫星观测海面信息重构三维温盐场精度的问题,本文提出了一种基于多尺度耦合正交分解的三维温盐场重构方法。该方法利用多尺度耦合正交分解对历史温盐剖面进行从大尺度到小尺度的迭代分解,以分层提取不同尺度三维温盐场的特征信息,然后分别建立海洋表面卫星观测与不同尺度的三维温盐场特征信息的重构模型,从而达到三维温盐场重构的目的。本文分别利用多尺度耦合正交分解法与 …

Mingqi Zhang
Oil Spill Timely Backtracking Oriented by Wind Field Correction With Self-Attention Temporal Convolutional Networks  featured image

Oil Spill Timely Backtracking Oriented by Wind Field Correction With Self-Attention Temporal Convolutional Networks

We investigate the problem of oil spill timely backtracking. Most existing methods for backtracking oil spills rely heavily on historical wind fields. However, during the crucial …

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李永庆
Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model featured image

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

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赵一志
Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model featured image

Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

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赵一志
基于高斯混合聚类和LightGBM算法的印度洋次表层温度反演研究 featured image

基于高斯混合聚类和LightGBM算法的印度洋次表层温度反演研究

海洋次表层的热力结构对于海洋环流和全球气候变化具有重要的意义。提出一种新的融合高斯混合模型(gaussion mixture model, GMM)和 轻量级梯度提升机(light gradient boosting machine, LightGBM)算法的海洋次表层温度(ocean subsurface temperature, OST)反演 模型,利用 …

Guiyan Tang
Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China featured image

Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China

Nitrogen dioxide (NO2) is an important precursor of atmospheric aerosol. Forecasting urban NO2 concentration is vital for effective control of air pollution. This paper proposes a …

Xingbin Jia
Key to ENSO Phase-Locking Simulation: Effects of Sea Surface Temperature Diurnal Amplitude featured image

Key to ENSO Phase-Locking Simulation: Effects of Sea Surface Temperature Diurnal Amplitude

The tendency of El Niño/Southern Oscillation (ENSO) events to peak during boreal winter is known as ENSO phase-locking, whose accurate simulation is essential for ENSO prediction. …

Xiaodan Yang
Reconstruction of Monthly Surface Nutrient Concentrations in the Yellow and Bohai Seas from 2003–2019 Using Machine Learning featured image

Reconstruction of Monthly Surface Nutrient Concentrations in the Yellow and Bohai Seas from 2003–2019 Using Machine Learning

Monitoring the spatiotemporal iability of nutrient concentrations in shelf seas is important for understanding marine primary productivity and ecological problems. However, long …

Hao Liu
Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method featured image

Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method

The effective estimation of mixed-layer depth (MLD) plays a significant role in the study of ocean dynamics and global climate change. However, the methods of estimating MLD still …

Chen Gu
An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction  featured image

An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction

Reanalysis wind fields are obtained by correcting the numerically forecasted wind fields based on observation data (i.e., either remote sensing or in-situ observations, or both). …

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李永庆