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Related papers: Surrogate Models for Rainfall Nowcasting

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A 'nowcast' is a type of weather forecast which makes predictions in the very short term, typically less than two hours - a period in which traditional numerical weather prediction can be limited. This type of weather prediction has…

Atmospheric and Oceanic Physics · Physics 2020-05-12 Rachel Prudden , Samantha Adams , Dmitry Kangin , Niall Robinson , Suman Ravuri , Shakir Mohamed , Alberto Arribas

Designing early warning system for precipitation requires accurate short-term forecasting system. Climate change has led to an increase in frequency of extreme weather events, and hence such systems can prevent disasters and loss of life.…

Atmospheric and Oceanic Physics · Physics 2023-12-11 Ajitabh Kumar

Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socio-economic needs of many sectors reliant on weather-dependent decision-making. State-of-the-art operational…

Rainfall is an important variable to be able to monitor and forecast across Africa, due to its impact on agriculture, food security, climate related diseases and public health. Numerical Weather Models (NWM) are an important component of…

Precipitation nowcasting is crucial across various industries and plays a significant role in mitigating and adapting to climate change. We introduce an efficient deep learning model for precipitation nowcasting, capable of predicting…

Weather forecasting is dominated by numerical weather prediction that tries to model accurately the physical properties of the atmosphere. A downside of numerical weather prediction is that it is lacking the ability for short-term forecasts…

Machine Learning · Computer Science 2021-01-26 Kevin Trebing , Tomasz Stanczyk , Siamak Mehrkanoon

Building design optimization often depends on physics-based simulation tools such as EnergyPlus, which, although accurate, are computationally expensive and slow. Surrogate models provide a faster alternative, yet most are…

Machine Learning · Computer Science 2026-03-13 Piragash Manmatharasan , Girma Bitsuamlak , Katarina Grolinger

Precipitation nowcasting is an important task for weather forecasting. Many recent works aim to predict the high rainfall events more accurately with the help of deep learning techniques, but such events are relatively rare. The rarity is…

Computer Vision and Pattern Recognition · Computer Science 2022-10-17 Ashesh , Buo-Fu Chen , Treng-Shi Huang , Boyo Chen , Chia-Tung Chang , Hsuan-Tien Lin

Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service. Modern precipitation nowcasting algorithms rely on the extrapolation of observations by…

The objective of this work is to provide high-resolution rain rate maps at short lead-time forecasts (nowcasts) necessary to anticipate flooding and properly manage sewage systems in urban areas by combining radars, rain gauges, and…

Atmospheric and Oceanic Physics · Physics 2018-10-30 Blandine Bianchi , Peter Jan van Leeuwen , Robin J. Hogan , Alexis Berne

Accurate and timely estimation of precipitation is critical for issuing hazard warnings (e.g., for flash floods or landslides). Current remotely sensed precipitation products have a few hours of latency, associated with the acquisition and…

Machine Learning · Computer Science 2022-04-20 Mohammad Reza Ehsani , Ariyan Zarei , Hoshin V. Gupta , Kobus Barnard , Ali Behrangi

Designing early warning systems for harsh weather and its effects, such as urban flooding or landslides, requires accurate short-term forecasts (nowcasts) of precipitation. Nowcasting is a significant task with several environmental…

Machine Learning · Computer Science 2023-02-10 Christos Kaparakis , Siamak Mehrkanoon

Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In contrast to long-term precipitation forecasts which are…

Nowcasting is a field of meteorology which aims at forecasting weather on a short term of up to a few hours. In the meteorology landscape, this field is rather specific as it requires particular techniques, such as data extrapolation, where…

Computer Vision and Pattern Recognition · Computer Science 2020-12-18 Léa Berthomier , Bruno Pradel , Lior Perez

Diffusion models are widely used in image generation because they can generate high-quality and realistic samples. This is in contrast to generative adversarial networks (GANs) and variational autoencoders (VAEs), which have some…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Xudong Ling , Chaorong Li , Fengqing Qin , Peng Yang , Yuanyuan Huang

Precipitation nowcasting, which predicts rainfall up to a few hours ahead, is a critical tool for vulnerable communities in the Global South frequently exposed to intense, rapidly developing storms. Timely forecasts provide a crucial window…

Accurate precipitation forecasting is crucial for early warnings of disasters, such as floods and landslides. Traditional forecasts rely on ground-based radar systems, which are space-constrained and have high maintenance costs.…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Young-Jae Park , Doyi Kim , Minseok Seo , Hae-Gon Jeon , Yeji Choi

Climate change has led to an increase in frequency of extreme weather events. Early warning systems can prevent disasters and loss of life. Managing such events remain a challenge for both public and private institutions. Precipitation…

Atmospheric and Oceanic Physics · Physics 2023-12-13 Ajitabh Kumar

Nowcasting, the short-term prediction of weather, is essential for making timely and weather-dependent decisions. Specifically, precipitation nowcasting aims to predict precipitation at a local level within a 6-hour time frame. This task…

Machine Learning · Computer Science 2024-12-23 Haotian Li , Arno Siebes , Siamak Mehrkanoon

Short-term (0-24 hours) precipitation forecasting is highly valuable to socioeconomic activities and public safety. However, the highly complex evolution patterns of precipitation events, the extreme imbalance between precipitation and…

Machine Learning · Computer Science 2026-03-30 Shuangliang Li , Siwei Li , Li Li , Weijie Zou , Jie Yang , Maolin Zhang
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