期刊论文

Hoekyung Jung

英文

Water

2073-4441

2022

14

16

2570-

10.3390/w14162570

This research was supported by the MIST (Ministry of Science and ICT), Korea, under the Innovative Human Resource Development for Local Intellectualization support program (IITP-2022-RS-2022-00156334) supervised by the IITP (Institute for Information and Communications Technology Planning and Evaluation).

本校为其他机构

Precipitation nowcasting predicts the future rainfall intensity in local areas in a brief time that impacts directly on human life. In this paper, we express the precipitation nowcasting as a spatiotemporal sequence prediction problem. Predictive learning for a spatiotemporal sequence aims to construct a model of natural spatiotemporal processes to predict the future frames based on historical frames. The spatiotemporal process is an abstraction of some of the spatial things in nature that change with time, and they usually do not change very dramatically. To simplify the model and facilitate ...