Improvement in District Scale Heavy Rainfall Prediction Over Complex Terrain of North East India Using Deep Learning
Author:
Affiliation:
1. School of Earth Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India
2. School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India
Funder
New Venture Fund, USA
Indian Institute of Technology Bhubaneswar
Council of Scientific and Industrial Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10274480.pdf?arnumber=10274480
Reference26 articles.
1. Rainfall Prediction Using Generalized Regression Neural Network: Case Study Zhengzhou
2. All India summer monsoon rainfall prediction using an artificial neural network
3. U-Net: A deep-learning method for improving summer precipitation forecasts in China
4. An artificial neural network model for rainfall forecasting in Bangkok, Thailand
5. Prediction of all India summer monsoon rainfall using error-back-propagation neural networks
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1. Spatio-attention-based network to improve heavy rainfall prediction over the complex terrain of Assam;Neural Computing and Applications;2024-04-14
2. Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Minimization of Forecast Error Using Deep Learning for Real-Time Heavy Rainfall Events Over Assam;IEEE Geoscience and Remote Sensing Letters;2024
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