Relative Importance of Radar Variables for Nowcasting Heavy Rainfall: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Relative Importance of Radar Variables for Nowcasting Heavy Rainfall: A Machine Learning Approach

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Yi Victor¹^ORCID,Kim Seung Hee¹^ORCID,Lyu Geunsu²,Lee Choeng-Lyong²,Lee Gyuwon³,Min Ki-Hong³^ORCID,Kafatos Menas C.¹

Affiliation:

1. Institute for Earth, Computing, Human and Observing, Chapman University, Orange, CA, USA

2. Center for Atmospheric Remote Sensing (CARE), Kyungpook National University, Daegu, South Korea

3. Department of Astronomy and Atmospheric Sciences, Kyungpook National University, Daegu, South Korea

Funder

Korea Meteorological Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/09994767.pdf?arnumber=9994767

Reference51 articles.

1. Application of machine learning to an early warning system for very short-term heavy rainfall

2. All convolutional neural networks for radar-based precipitation nowcasting

3. GNSS-based machine learning storm nowcasting;?o?;Remote Sens,2020

4. Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach

5. A Convection Nowcasting Method Based on Machine Learning

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1. Numerical Weather Forecasting Using Convolutional-LSTM With Attention and Context Matcher Mechanisms;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Hierarchical Transformer With Lightweight Attention for Radar-Based Precipitation Nowcasting;IEEE Geoscience and Remote Sensing Letters;2024

4. Paper 4402: Characterizing Ignition Risk of Wildfire due to Lightning over Western United States;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Improvement in District Scale Heavy Rainfall Prediction Over Complex Terrain of North East India Using Deep Learning;IEEE Transactions on Geoscience and Remote Sensing;2023

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