Preface to the Special Issue: AI Applications in Atmospheric and Oceanic Science: Pioneering the Future (Part I).
- Published in:
- 2024
- By:
- Publication type:
- Editorial
Works matching IS 02561530 AND DT 2024 AND VI 41 AND IP 7
Results: 14
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ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1289, doi. 10.1007/s00376-024-3316-6
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- Publication type:
- Article
3
Toward a Learnable Climate Model in the Artificial Intelligence Era.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1281, doi. 10.1007/s00376-024-3305-9
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- Publication type:
- Article
4
Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1299, doi. 10.1007/s00376-024-3288-6
- By:
- Publication type:
- Article
5
A Physics-informed Deep-learning Intensity Prediction Scheme for Tropical Cyclones over the Western North Pacific.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1391, doi. 10.1007/s00376-024-3282-z
- By:
- Publication type:
- Article
6
Understanding the Low Predictability of the 2015/16 El Niño Event Based on a Deep Learning Model.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1313, doi. 10.1007/s00376-024-3238-3
- By:
- Publication type:
- Article
7
ST-LSTM-SA: A New Ocean Sound Velocity Field Prediction Model Based on Deep Learning.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1364, doi. 10.1007/s00376-024-3219-6
- By:
- Publication type:
- Article
8
Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1450, doi. 10.1007/s00376-024-3198-7
- By:
- Publication type:
- Article
9
Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1438, doi. 10.1007/s00376-024-3195-x
- By:
- Publication type:
- Article
10
Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1379, doi. 10.1007/s00376-023-3259-3
- By:
- Publication type:
- Article
11
A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing-Tianjin-Hebei Region.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1342, doi. 10.1007/s00376-023-3255-7
- By:
- Publication type:
- Article
12
Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1417, doi. 10.1007/s00376-023-3184-5
- By:
- Publication type:
- Article
13
Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1326, doi. 10.1007/s00376-023-3181-8
- By:
- Publication type:
- Article
14
U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies.
- Published in:
- Advances in Atmospheric Sciences, 2024, v. 41, n. 7, p. 1403, doi. 10.1007/s00376-023-3179-2
- By:
- Publication type:
- Article