Results 41 to 50 of about 1,490 (205)
Spatiotemporal Data Fusion for Precipitation Nowcasting
CoRR, 2018 Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars. Truly global precipitation nowcasting requires fusion of radar and satellite observations.
Vladimir Ivashkin, Vadim Lebedev
openaire +2 more sources
Deep Learning and the Weather Forecasting Problem: Precipitation Nowcasting
, 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
Nowcasting the precipitation phase combining weather radar data, surface observations, and NWP model forecasts [PDF]
, 2023 Heavy snowfall events can cause substantial transport disruption and exert a negative socioeconomic impact, particularly in low-altitude and midlatitude regions, where it seldom snows.
Pineda, Nicolau +7 more
core +1 more source
Operational verification of a framework for the probabilistic nowcasting of river discharge in small and medium size basins [PDF]
Natural Hazards and Earth System Sciences, 2012 Forecasting river discharge is a very important issue for the prediction and monitoring of ground effects related to severe precipitation events. The meteorological forecast systems are unable to predict precipitation on small spatial (few km) and ...
F. Silvestro, N. Rebora
doaj +1 more source
Construction of a Spatio-Temporal Dataset for Deep Learning-Based Precipitation Nowcasting
Journal of Information Science Theory and Practice, 2022 Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing
Wonsu Kim +3 more
doaj +1 more source
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Advances in Neural Information Processing Systems 36, 2023 Published at NeurIPS 2023.
Zhihan Gao 0001 +8 more
openaire +3 more sources
Nowcasting of Extreme Precipitation Using Deep Generative Models
, 2023 Nowcasting is an observation-based method that uses the current state of the atmosphere to forecast future weather conditions over several hours. Recent studies have shown the promising potential of using deep learning models for precipitation nowcasting.
Kyryliuk, Maksym (author) +7 more
core +1 more source
Convcast architecture for precipitation nowcasting using the IMERG dataset.
, 2020 Convcast architecture for precipitation nowcasting using the IMERG dataset.
Yoshihide Sekimoto (499186) +4 more
core +1 more source
PPNet: A more effective method of precipitation prediction
Meteorological Applications, 2022 Precipitation nowcasting plays an important role in the early warning of disasters and many other aspects of people's lives. In this study, we address the problem of radar reflectivity image extrapolation, which has great significance for precipitation ...
Lina Xun +6 more
doaj +1 more source
Sensors, 2021 Precipitation has an important impact on people’s daily life and disaster prevention and mitigation. However, it is difficult to provide more accurate results for rainfall nowcasting due to spin-up problems in numerical weather prediction models ...
Fuhan Zhang +4 more
doaj +1 more source