Machine Learning Approach to Summer Precipitation Nowcasting over the Eastern Alps
Meteorologische Zeitschrift, 2020 This paper presents a new machine learning-based nowcasting model for hourly summer precipitation over the Eastern Alps. An artificial neural network (ANN) using the multi-layer perceptron algorithm was applied and evaluated against the Integrated ...
Linye Song +6 more
doaj +1 more source
An Improved Deep Learning Model for High-Impact Weather Nowcasting
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Accurate nowcasting (short-term prediction, 0–6 h) of high-impact weather, such as landfalling hurricanes and extreme convective precipitation, plays a critical role in natural disaster monitoring and mitigation.
Shun Yao +3 more
doaj +1 more source
Deep Learning and Universal Multifractal for Nowcasting Precipitation in Urban Geosciences [PDF]
, 2023 International audiencePrecipitation nowcasting (short-term forecasting ahead for 0 to 6 hours) is crucial for decision-making of weather-dependent industries in order to mitigate socio-economic impacts.
Tchiguirinskaia, Ioulia +2 more
core +1 more source
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
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
A Heterogeneous Spatiotemporal Attention Fusion Prediction Network for Precipitation Nowcasting [PDF]
, 2023 Precipitation nowcasting underlying various public services from rainstorm warning to flight safety is quite important and remains challenging due to the fast change in convective weather.
Dan Niu +6 more
core +1 more source
Radar-based precipitation nowcasting using task-segmented recurrent generative adversarial networks [PDF]
, 2021 With the objective of making a high-resolution and precise forecast of regional precipitation, precipitation nowcasting has become an important technique to give the early public warning on potential landslides and floods caused by heavy precipitation ...
Wang, Rui
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