Using deep learning for precipitation forecasting based on spatio-temporal information: a case study
Author:
Funder
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00382-021-05916-4.pdf
Reference25 articles.
1. Bihlo A (2021) A generative adversarial network approach to (ensemble) weather prediction. Neural Netw 139:1–16. https://doi.org/10.1016/j.neunet.2021.02.003 (ISSN 0893-6080)
2. Bonnet SM, Evsukoff A, Morales Rodriguez CA (2020) Precipitation nowcasting with weather radar images and deep learning in São paulo, Brasil. Atmosphere 11(11). https://doi.org/10.3390/atmos11111157. https://www.mdpi.com/2073-4433/11/11/1157 (ISSN 2073-4433)
3. Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2011) Smote: synthetic minority over-sampling technique. J Artif Intell Res 16(1):321–357. https://doi.org/10.1613/jair.953
4. Das S, Chakraborty R, Maitra A (2017) A random forest algorithm for nowcasting of intense precipitation events. Adv Space Res 60(6):1271–1282. https://doi.org/10.1016/j.asr.2017.03.026
5. Doquire G, Verleysen M (2012) A comparison of multivariate mutual information estimators for feature selection. In: Proceedings of the 1st international conference on pattern recognition applications and methods—volume 2: ICPRAM, pp 176–185. INSTICC, SciTePress. https://doi.org/10.5220/0003726101760185 (ISBN 978-989-8425-98-0)
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DFFNet: A Rainfall Nowcasting Model Based on Dual-Branch Feature Fusion;Electronics;2024-07-18
2. Key propagation pathways of extreme precipitation events revealed by climate networks;npj Climate and Atmospheric Science;2024-07-12
3. Hybrid multilayer perceptron and convolutional neural network model to predict extreme regional precipitation dominated by the large-scale atmospheric circulation;Atmospheric Research;2024-07
4. Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches;Earth Systems and Environment;2024-04-20
5. Ensemble tree model prediction of summer precipitation in North China based on predictor selection strategy;Climate Dynamics;2024-04-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3