ADVANCES IN ATMOSPHERIC SCIENCES

[Evolving] AI Applications in Atmospheric and Oceanic Science: Pioneering the Future

Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models

Lu LI, Yongjiu DAI, Zhongwang WEI, Wei SHANGGUAN, Nan WEI, Yonggen ZHANG, Qingliang LI, Xian-Xiang LI

, Available online , Manuscript accepted 16 November 2023, doi: 10.1007/s00376-023-3181-8

[Abstract](1228) [FullText HTML] (409) [PDF 20820KB](139) Cited by
Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts

Mengmeng SONG, Dazhi YANG, Sebastian LERCH, Xiang’ao XIA, Gokhan Mert YAGLI, Jamie M. BRIGHT, Yanbo SHEN, Bai LIU, Xingli LIU, Martin János MAYER

, Available online , Manuscript accepted 22 November 2023, doi: 10.1007/s00376-023-3184-5

[Abstract](983) [FullText HTML] (242) [PDF 6233KB](65) Cited by
U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies

Shuangying DU, Rong-Hua ZHANG

, Available online , Manuscript accepted 08 December 2023, doi: 10.1007/s00376-023-3179-2

[Abstract](696) [FullText HTML] (226) [PDF 10397KB](43) Cited by
Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness

Chentao SONG, Jiang ZHU, Xichen LI

, Available online , Manuscript accepted 04 January 2024, doi: 10.1007/s00376-023-3259-3

[Abstract](502) [FullText HTML] (144) [PDF 4774KB](39) Cited by
A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region

Yunqing LIU, Lu YANG, Mingxuan CHEN, Linye SONG, Lei HAN, Jingfeng XU

, Available online , Manuscript accepted 05 January 2024, doi: 10.1007/s00376-023-3255-7

[Abstract](1076) [FullText HTML] (421) [PDF 10245KB](85) Cited by
Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis

Zibo ZHUANG, Kunyun LIN, Hongying ZHANG, Pak-Wai CHAN

, Available online , Manuscript accepted 17 January 2024, doi: 10.1007/s00376-024-3195-x

[Abstract](238) [FullText HTML] (65) [PDF 6333KB](22) Cited by
Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms

Xinming LIN, Jiwen FAN, Yuwei ZHANG, Z. Jason HOU

, Available online , Manuscript accepted 31 January 2024, doi: 10.1007/s00376-024-3198-7

[Abstract](512) [FullText HTML] (138) [PDF 6036KB](51) Cited by
Toward a Learnable Climate Model in the Artificial Intelligence Era

Gang HUANG, Ya WANG, Yoo-Geun HAM, Bin MU, Weichen TAO, Chaoyang XIE

, Available online , Manuscript accepted 18 March 2024, doi: 10.1007/s00376-024-3305-9

[Abstract](702) [FullText HTML] (376) [PDF 2694KB](129) Cited by
Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes

Ya WANG, Gang HUANG, Baoxiang PAN, Pengfei LIN, Niklas BOERS, Weichen TAO, Yutong CHEN, BO LIU, Haijie LI

, Available online , Manuscript accepted 31 January 2024, doi: 10.1007/s00376-024-3288-6

[Abstract](541) [FullText HTML] (210) [PDF 8150KB](72) Cited by
ST-LSTM-SA：A new ocean sound velocity fields prediction model based on deep learning

Hanxiao Yuan, Yang Liu, Qiuhua TANG, Jie LI, Guanxu CHEN, Wuxu CAI

, Available online , Manuscript accepted 01 March 2024, doi: 10.1007/s00376-024-3219-6

[Abstract](274) [FullText HTML] (47) [PDF 1296KB](16) Cited by
A Physics-informed-deep-learning Intensity Prediction Scheme for Tropical Cyclones over the western North Pacific

Yitian ZHOU, Ruifen Zhan, Yuqing Wang, Zhipeng XIE, Xiuwen NIE, Peiyan Chen, Zhe-Min Tan

, Available online , Manuscript accepted 13 March 2024, doi: 10.1007/s00376-024-3282-z

[Abstract](141) [FullText HTML] (46) [PDF 1017KB](23) Cited by

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[Evolving] AI Applications in Atmospheric and Oceanic Science: Pioneering the Future

Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models

Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts

U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies

Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness

A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region

Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis

Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms

Toward a Learnable Climate Model in the Artificial Intelligence Era

Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes

ST-LSTM-SA：A new ocean sound velocity fields prediction model based on deep learning

A Physics-informed-deep-learning Intensity Prediction Scheme for Tropical Cyclones over the western North Pacific

2022 Impact Factor 5.8

DownloadsMore

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