AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts-Reference-Cited by-同舟云学术

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AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts

Published:2024 Issue: Volume:62 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wen Yingpeng¹^ORCID,Yu Weijiang¹^ORCID,Zheng Fudan¹^ORCID,Huang Dan¹^ORCID,Xiao Nong¹

Affiliation:

1. School of Computer Science, Sun Yat-sen University, Guangzhou, Guangdong, China

Funder

Natural Science Foundation of China

Guangdong Natural Science Foundation

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

CCF-Baidu Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10417089.pdf?arnumber=10417089

Reference39 articles.

1. Hourly Rainfall Forecast Model Using Supervised Learning Algorithm

2. DEVELOPMENT OF A NEXT-GENERATION REGIONAL WEATHER RESEARCH AND FORECAST MODEL

3. The benefits of the Met Office variable resolution NWP model for forecasting convection

4. The AROME-France Convective-Scale Operational Model

5. Ability of a Poor Man's Ensemble to Predict the Probability and Distribution of Precipitation

Cited by 1 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. A performance and interpretability assessment of machine learning models for rainfall prediction in the Republic of Ireland;Decision Analytics Journal;2024-09

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