Results 171 to 180 of about 1,490 (205)

Probabilistic Short-Term Sky Image Forecasting Using VQ-VAE and Transformer Models on Sky Camera Data. [PDF]

J Imaging
Seyidbayli C, Nezakat S, Reinhardt A.
europepmc   +1 more source

Physics-constrained multimodal vision transformer for ultra-short-term solar radiation forecasting error correction. [PDF]

Sci Rep
Jiang Z, Peng W.
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A machine learning-based short-term forecasting method for heavy fog in Anhui Province of China. [PDF]

Sci Rep
Sun Y, Wang C, Yao Y, Wang F, Zhou J, Wang X.   +5 more
europepmc   +1 more source

Fast and Trustworthy Nowcasting of Dengue Fever: A Case Study Using Attention-Based Probabilistic Neural Networks in São Paulo, Brazil

Koemen S, Faria NR, Bastos LS, Ratmann O, Amaral AVR.   +4 more
europepmc   +1 more source

Inland Deforestation Organizes Convective Extremes.

Engelbrecht E, Haerter J, Klein C.
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Nowcasting precipitation — a proposal for a way forward

Journal of Hydrology, 2000
Abstract There is little doubt that hybrid mesoscale model and image extrapolation systems will eventually become widespread for the nowcasting of precipitation for hydrology and aviation safety. Arguably the final forecast output that is required for these applications needs to be probabilistic in nature, therefore appropriate forecast schemes ...
G L Austin
exaly   +2 more sources

Effective training strategies for deep-learning-based precipitation nowcasting and estimation

Computers and Geosciences, 2022
Deep learning has been successfully applied to precipitation nowcasting. In this work, we propose a pre-training scheme and a new loss function for improving deep-learning-based nowcasting.
Kyuhan Lee, Seok-Woo Son, Kijung Shin
exaly   +2 more sources

MM-RNN: A Multimodal RNN for Precipitation Nowcasting

IEEE Transactions on Geoscience and Remote Sensing, 2023
Zhifeng Ma, Hao Zhang
exaly   +2 more sources

Verification of the radar precipitation nowcasting

Hydrometeorological research and forecasting, 2023
The application of the Fraction Skill Score (FSS) to the radar nowcasting of precipitation fields is considered. The main feature of the method is that the quality is estimated not at the points (or cells) of the fields, but in their neighborhoods. Verification of field forecasts acquires a probabilistic character, due to which the well-known “double ...
A.V Muravev .., D.B. Kiktev, A.V Smirnov
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Nowcasting of precipitation systems

Reviews of Geophysics, 1989
Digital remotely sensed observations of the atmosphere, particularly from radars and satellites, have become increasingly available over the last 15 years. Together with developments in computer technology this has stimulated the design and operation of a variety of systems to exploit these data in weather forecasting.
K. A. Browning, C. G. Collier
openaire   +1 more source