Results 101 to 110 of about 1,500 (207)

Precipitation retrieval and nowcasting from satellite within project “NOWCASTING-PROSA”of the Italian Space Agency [PDF]

, 2010
Three years ago, the Italian SpaceAgency (ASI), in agreement with the Italian Department for Civil Protection (DPC), funded a project finalized to the nowcasting of the intense storms that produce floods over the Italian peninsula. A goal of this project
S. Dietrich, M. L. Tampellini, D. Casella, F. S. Marzano, S. Laviola, F. Di Paola, PORCU', Federico, A. Mugnai, M. Formenton, F. Prodi, G. P. Marra, D. Capacci, M. De Rosa, P. Sanò, M. Vimercati, MILANI, Lisa, E. Cattani, V. Levizzani   +17 more
core  

Oceanic Precipitation Nowcasting Using a UNet-Based Residual and Attention Network and Real-Time Himawari-8 Images

Remote Sensing
Qualitative precipitation forecasting plays a vital role in marine operational services. However, predicting heavy precipitation over the open ocean presents a significant challenge due to the limited availability of ground-based radar observations far ...
Xianpu Ji, Xiaojiang Song, Anboyu Guo, Kai Liu, Haijin Cao, Tao Feng   +5 more
doaj   +1 more source

Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precipitation nowcasting is a critical aspect of meteorological services, which helps people make reasonable arrangements. Nowadays the methods based on recurrent neural networks are widely employed as the primary solution for precipitation nowcasting.
Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu 0001, Xiao-Tong Yuan   +5 more
openaire   +2 more sources

PEDNet: A Predictive Encoder–Decoder Network with Multi-Scale Global–Local Modeling for Radar Precipitation Nowcasting

Atmosphere
Radar precipitation nowcasting remains challenging because a model must not only represent the overall motion trends of large-scale precipitation systems, but also capture the fine-grained structural variations of localized strong echo regions while ...
Zhuo Wang, Chaorong Li, Wenjie Luo, Chuanhu Deng   +3 more
doaj   +1 more source

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling [PDF]

Precipitation nowcasting based on radar data plays a crucial role in extreme weather prediction and has broad implications for disaster management. Despite progresses have been made based on deep learning, two key challenges of precipitation nowcasting ...
Bai, Lei, Ye, Peng, Yang, Xiaokang, Liu, Na, Ouyang, Wanli, Xu, Wanghan, Gong, Junchao, Dai, Jianhua   +7 more
core   +1 more source

Explorations into Machine Learning Techniques for Precipitation Nowcasting [PDF]

, 2017
Recent advances in cloud-based big-data technologies now makes data driven solutions feasible for increasing numbers of scientific computing applications.
Nagarajan, Aditya
core   +1 more source

A space-time geostatistical approach for ensemble rainfall nowcasting

E3S Web of Conferences, 2016
Nowcasting systems are essential to prevent extreme events and reduce their socio-economic impacts. The major challenge of these systems is to capture high-risk situations in advance, with good accuracy, location and time.
Caseri A., Ramos M.-H., Javelle P., Leblois E.   +3 more
doaj   +1 more source

Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique

Atmosphere, 2018
Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications.
Ling Li, Zhengwei He, Sheng Chen, Xiongfa Mai, Asi Zhang, Baoqing Hu, Zhi Li, Xinhua Tong   +7 more
doaj   +1 more source

DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting

Proceedings of the AAAI Conference on Artificial Intelligence
Accurate short-term precipitation forecasting is critical for weather-sensitive decision-making in agriculture, transportation, and disaster response. Existing deep learning approaches often struggle to balance global structural consistency with local detail preservation, especially under complex meteorological conditions.
Penghui Wen, Mengwei He, Patrick Filippi, Na Zhao, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang 0001, Kun Hu   +7 more
openaire   +2 more sources

Precipitation estimation and nowcasting at IMGW-PIB (SEiNO system) [PDF]

, 2018
A System for the Estimation and Nowcasting of Precipitation (SEiNO) is being developed at the Institute of Meteorology and Water Management – National Research Institute.
Giszterowicz, M., Ośródka, K., Jurczyk, A., Wyszogrodzki, A., Szturc, J.   +4 more
core   +1 more source