An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models

Wang, Youning; Yang, Zhiyun; Liu, Qi; Liu, Xiaodong

Abstract

Short-term heavy rainfall can have a significant impact on people's production, life and travel. Numerical Weather Prediction (NWP) is complex. It can predict weather conditions for the next week or even two weeks, but cannot predict the weather in the near hours in a timely manner. The TREC and Optical Flow methods used in the meteorological field are only good at translational transformations, and it is difficult to predict the generation and dissipation of cloud systems. ConvLSTM, PredRNN, and other deep RNN-based methods input only one map at each time step, and do not make good use of the spatial information of several neighboring moments. Inspired by schedule sampling, a new sampling scheme is proposed to allow the model to effectively use the spatial information of the past few times. Also, the advantages of MSE and MAE are combined to change the loss function.

Citation

Wang, Y., Yang, Z., Liu, Q., & Liu, X. (2022). An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927983

• Conference Name: 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
• Conference Location: Falerna, Italy
• Start Date: Sep 12, 2022
• End Date: Sep 15, 2022
• Acceptance Date: Jul 25, 2022
• Online Publication Date: Dec 13, 2022
• Publication Date: 2022
• Deposit Date: Jan 27, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
• DOI: https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927983