袁时金
- 教授
- 教师英文名称： Yuan Shijin
- 教师拼音名称： yuanshijin
- 电子邮箱：
- 学历： 博士研究生毕业
- 学位： 博士学位
- 毕业院校： 复旦大学
- 学科：计算机科学与技术
计算机软件与理论
计算机应用技术
软件工程
电子信息
智能科学与技术
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- [21]袁时金.The first kind of predictability problem of El Niño predictions in a multivariate coupled data-driven model111 RIVER ST, HOBOKEN 07030-5774, NJ USA:Quarterly Journal of the Royal Meteorological Society,2024,150(765):5452-5471.
- [22]穆斌,秦博（博士生）,袁时金.ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air-sea couplerGEOSCIENTIFIC MODEL DEVELOPMENT,2021,14(11):6977-6999.
- [23]袁时金.基于深度学习的全球热带气旋生成预测模型及其可解释性分析16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA:Science China Earth Sciences,2024,67(12):3671-3695.
- [24]袁时金.地球系统模式中次网格参数化方案替换方法、设备和介质2024,
- [25]袁时金.Developing intelligent Earth System Models: An AI framework for replacing sub-modules based on incremental learning and its applicationSTE 800, 230 PARK AVE, NEW YORK, NY 10169 USA:Atmospheric Research,2024,302
- [26]袁时金.基于深度学习的全球热带气旋生成预测模型及其可解释性分析中国科学:地球科学,2024,54(12):3708-3733.
- [27]袁时金.Incorporating heat budget dynamics in a Transformer-based deep learning model for skillful ENSO predictionHEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY:NPJ CLIMATE AND ATMOSPHERIC SCIENCE,2024,7(1):
- [28]袁时金.A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm125 London Wall, London, ENGLAND:Ocean Modelling,2024,188
- [29]袁时金.IceTFT v1.0.0: interpretable long-term prediction of Arctic sea ice extent with deep learningBAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY:Geoscientific Model Development,2023,16(16):4677 - 4697.
- [30]袁时金.Error Evolutions and Analyses on Joint Effects of SST and SL via Intermediate Coupled Models and Conditional Nonlinear Optimal Perturbation MethodJournal of Marine Science and Engineering,2023,(5):