Results 31 to 40 of about 1,490 (205)
Exploring Geometric Deep Learning for Precipitation Nowcasting
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023 submitted and accepted in ...
Shan Zhao 0007 +4 more
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RainAI -- Precipitation Nowcasting from Satellite Data
CoRR, 2023 This paper presents a solution to the Weather4Cast 2023 competition, where the goal is to forecast high-resolution precipitation with an 8-hour lead time using lower-resolution satellite radiance images. We propose a simple, yet effective method for spatiotemporal feature learning using a 2D U-Net model, that outperforms the official 3D U-Net baseline ...
Pablos Sarabia, Rafael +3 more
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Advances of precipitation nowcasting and its application in hydrological forecasting
Shui kexue jinzhan, 2020 With the global climate change and the imbalance of the ecological environment, extreme weather frequently occurs and presents multi-scale temporal and spatial variability characteristics.
Jia LIU +5 more
doaj +1 more source
Combination of XGBoost and PPLK method for improving the precipitation nowcasting [PDF]
MATEC Web of Conferences, 2022 The Precipitation nowcasting can provide high-resolution forecasts of rainfall and hydrometeors in 2 hours and play an important role in risk management for flash flood and debris flow events, but it is a very challenge work.
Mai Xiongfa, Zhong Haiyan, Li Ling
doaj +1 more source
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
CoRR, 2021 We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product. This model takes as input a sequence of weather radar mosaics and deterministically predicts future radar reflectivity at lead times up to 6 hours.
Sylwester Klocek +9 more
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, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
core +1 more source
CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting [PDF]
Geoscientific Model Development, 2023 The prediction of precipitation patterns up to 2 h ahead, also known as precipitation nowcasting, at high spatiotemporal resolutions is of great relevance in weather-dependent decision-making and early warning systems.
Y. Ji +5 more
doaj +1 more source
Application of Multiple Wind Retrieval Algorithms in Nowcasting
Atmosphere, 2015 Multiple wind retrieval algorithms are performed to retrieve wind fields, based on which radar reflectivity is extrapolated to implement nowcasting. The frequently used nowcasting algorithm COTREC (continuity of tracking radar echo by correlation), based
Nan Li +5 more
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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