Results 21 to 30 of about 1,500 (207)
Tan-qqh/Multi-scale-Feature-Fusion-for-Precipitation-Nowcasting: Deep Learning Model based on Multi-scale Feature Fusion for Precipitation Nowcasting [PDF]
, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
core +1 more source
Rad-cGAN v1.0: Radar-based precipitation nowcasting model with conditional generative adversarial networks for multiple dam domains [PDF]
Geoscientific Model Development, 2022 Numerical weather prediction models and probabilistic extrapolation methods using radar images have been widely used for precipitation nowcasting. Recently, machine-learning-based precipitation nowcasting models have also been actively developed for ...
S. Choi, Y. Kim
doaj +1 more source
暴雨灾害, 2022 How to integrate effectively the synoptic characteristics of severe precipitation events based on the experience of forecasters that is not constrained by physical formulas into the deep learning model as a priori information is one of the important ...
Yaping ZHANG +4 more
doaj +1 more source
Quantifying the Location Error of Precipitation Nowcasts [PDF]
Advances in Meteorology, 2020 In precipitation nowcasting, it is common to track the motion of precipitation in a sequence of weather radar images and to extrapolate this motion into the future. The total error of such a prediction consists of an error in the predicted location of a precipitation feature and an error in the change of precipitation intensity over lead time.
Arthur Costa Tomaz de Souza +2 more
openaire +3 more sources
Precipitation Nowcasting with Satellite Imagery [PDF]
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 Final KDD 2019 ...
Vadim Lebedev +8 more
openaire +2 more sources
Multi‐task framework of precipitation nowcasting
CAAI Transactions on Intelligence Technology, 2023 Abstract Precipitation forecasting plays an important role in disaster warning, agricultural production, and other fields. To solve this issue, some deep learning methods are proposed to forecast future radar echo images and convert them into rainfall distributions.
Zheng Zhang 0046 +4 more
openaire +2 more sources
Deep Learning and the Weather Forecasting Problem: Precipitation Nowcasting [PDF]
, 2021 Precipitation nowcasting refers to the prediction of rainfall with high spatiotemporal resolutions in a timely and accurate manner for the next 6 hours.
Yeung, Dit Yan +11 more
core +1 more source
暴雨灾害, 2021 By using network radar, national gridded real-time observation datasets and the hourly precipitation observation data at the automatic weather stations in the Yangtze River Basin, the radar extrapolation precipitation forecast product of the Yangtze ...
Gang TIAN +3 more
doaj +1 more source
Distributed Deep Learning for Precipitation Nowcasting [PDF]
2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019 IEEE HPEC ...
Siddharth Samsi +2 more
openaire +2 more sources
Nowcasting of rainfall based on extrapolation and evolution algorithms. Preliminary results [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2018 Forecasts from nowcasting models are increasingly becoming a crucial input to the rainfall-runoff models. A basic approach to the nowcast generation is based on extrapolation (advection) of current precipitation field.
Mateusz Giszterowicz +2 more
doaj +1 more source