A hybrid of RainNet and genetic algorithm in nowcasting prediction-Reference-Cited by-同舟云学术

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A hybrid of RainNet and genetic algorithm in nowcasting prediction

Published:2023-10-31 Issue:4 Volume:16 Page:3885-3894
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Ngan Tran Thi,Son Ha Gia,Omar Michael,Thang Nguyen Truong,Giang Nguyen Long,Tuan Tran Manh,Tho Nguyen Anh

Funder

Institute of Information Technology, Vietnam Academy of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-023-01120-6.pdf

Reference34 articles.

1. Albu A-I, Czibula G, Mihai A, Czibula IG, Burcea S, Mezghani A (2022) NeXtNow: a convolutional deep learning model for the prediction of weather radar data for nowcasting purposes. Remote Sens 14:3890. https://doi.org/10.3390/rs14163890

2. Ayzel G, Heistermann M, Winterrath T (2019) Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0. 1). Geosci Model Dev 12(4):1387–1402

3. Ayzel G, Heistermann M, Sorokin A, Nikitin O, Lukyanova O (2019) All convolutional neural networks for radar-based precipitation nowcasting. Procedia Comput Sci 150:186–192

4. Ayzel G, Scheffer T, Heistermann M (2020) RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting. Geosci Model Dev 13(6):2631–2644

5. Ayzel G, Scheffer T, Heistermann M (2020) RainNet v1. 0: a convolutional neural network for radar-based precipitation nowcasting. Geosci Model Dev 13(6):2631–2644

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