Results 81 to 90 of about 1,490 (205)

A Strategy to set up Test Dataset and Evaluation Benchmark for Radar Nowcasting of Precipitation in Italy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Prediction of extreme precipitation with high spatial resolution on short time scales (i.e., nowcasting) is still challenging, and data-driven approaches such as artificial intelligence tools are increasingly being used.
Clizia Annella, Edoardo Raparelli, Gianfranco Vulpiani, Vincenzo Capozzi, Elisa Adirosi, Luca Baldini, Giorgio Budillon, Raffaele Lidori, Mario Montopoli   +8 more
doaj   +1 more source

Pseudo‐Radar Reflectivity by Applying U‐Net Models to Global Passive Microwave Brightness Temperatures

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Spaceborne radar systems such as the Global Precipitation Measurement Mission (GPM)'s core satellite Dual‐frequency Precipitation Radar (DPR) provide global insight into precipitation structure, storm morphology, and hydrological cycles. However, their limited spatial and temporal sampling and high cost constrain their ability to continuously ...
Florian Morvais, Chuntao Liu
wiley   +1 more source

How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-Based Precipitation Nowcasting

IEEE Transactions on Geoscience and Remote Sensing
Precipitation Nowcasting, which aims to predict precipitation within the next 0 to 6 hours, is critical for disaster mitigation and real-time response planning. However, most time series forecasting benchmarks in meteorology are evaluated on variables with strong periodicity, such as temperature and humidity, which fail to reflect model capabilities in
Yifang Zhang, Shengwu Xiong, Henan Wang, Wenjie Yin, Jiawang Peng, Yuqiang Zhang, Chen Zhou, Hua Chen, Qile Zhao, Pengfei Duan   +9 more
openaire   +2 more sources

Frontiers of Doppler Lidar: A Review on Its Global Applications

Meteorological Applications, Volume 33, Issue 3, May/June 2026.
Doppler lidars provide high‐resolution wind measurements that support weather forecasting, wind energy optimization, and aviation safety. This review highlights their global applications, operational advantages, and growing role in atmospheric science and sustainable development. ABSTRACT Doppler lidar is a powerful remote sensing technology capable of
Sridhara Nayak, Isao Kanda
wiley   +1 more source

Applicability Study of a Diffusion Transformer Forecasting Model in the Complex Terrain of Guizhou

Meteorological Applications, Volume 33, Issue 3, May/June 2026.
Performance comparison of the HARE model and the Fenglei baseline across four evaluation metrics (CSI, POD, FAR, and Frequency Bias) over a 142‐day verification period. ABSTRACT Precipitation nowcasting in complex terrains like the Guizhou Plateau is challenged by the blurry forecasts and premature dissipation common in traditional and early deep ...
Congying Li, DeXuan Kong, Chen Yuan, Tingting Liao, Yajing Zhi, Biao Wang, Yu Zhou, Gaojian Ge, Shi Pu   +8 more
wiley   +1 more source

Introducing Reflected GNSS TEC Data Into ANCHOR Ionospheric Data Assimilation Model

Space Weather, Volume 24, Issue 5, May 2026.
Abstract ANCHOR is a novel data assimilation (DA) algorithm developed at the U.S. Naval Research Laboratory to improve ionospheric nowcasting by increasing accuracy and decreasing computational cost. As a parameterized DA model, ANCHOR represents the ionosphere using physical parameters such as the F2 layer peak (Nm $Nm$F2), which characterizes a ...
Brenna Royersmith, Victoriya V. Forsythe, Brian Breitsch, Meghan R. Burleigh, Kate A. Zawdie, Y. Jade Morton   +5 more
wiley   +1 more source

Automatic Detection and Localization of Space Hurricanes Based on Deep Learning

Space Weather, Volume 24, Issue 5, May 2026.
Abstract Space hurricanes are distinct space weather phenomena that occur during extremely quiet geomagnetic conditions, and exhibit hurricane‐like cyclonic auroral bright spot structures. This phenomenon can induce severe space weather effects, including radio communication disruptions, navigation and positioning errors, and over‐the‐horizon radar ...
Yu‐Han Li, Duan Zhang, Qing‐He Zhang, Jin Wang, Kjellmar Oksavik, Xiao‐Ping Jiang, Zan‐Yang Xing, Hui‐Gen Yang, Yong Wang, Yu‐Zhang Ma, Yan‐Ju Sun, Sheng Lu, Bian‐Long Zhao, Jia‐Chen Zhao, Wen‐Qian Chen, Xiang‐Yu Wang, Zhi‐Feng Xiu, Shi‐Gang Zheng   +17 more
wiley   +1 more source

Nowcasting and forecasting thunderstorms for air traffic with an integrated forecast system based on observations and model data

, 2009
This study presents the concept and first results of the Weather Forecast User Oriented System Including Object Nowcasting (WxFUSION), an integrated system using observations and numerical model data to nowcast and forecast weather hazards for air ...
Tafferner, Arnold, Forster, Caroline
core  

GPTCast: a weather language model for precipitation nowcasting

Geoscientific Model Development
Abstract. This work introduces GPTCast, a generative deep learning method for ensemble nowcasting of radar-based precipitation, inspired by advancements in large language models (LLMs). We employ a generative pre-trained transformer (GPT) model as a forecaster to learn spatiotemporal precipitation dynamics using tokenized radar images. The tokenizer is
Gabriele Franch, Elena Tomasi, Rishabh Wanjari, Virginia Poli, Chiara Cardinali, Pier Paolo Alberoni, Marco Cristoforetti   +6 more
openaire   +2 more sources

The Value of Forecasters‐in‐the‐Loop in Real‐Time Flood Forecasting in the Age of Machine Learning

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Machine learning (ML) applications in hydrological forecasting are increasingly prevalent and show great potential. However, many previous studies have only evaluated performance through reanalysis or retrospective simulations compared to simplified baselines.
Vinh Ngoc Tran, Donghui Xu, Phong Le, Jongho Kim, Tam Van Nguyen, Giang Tien Nguyen, Pedro J. Restrepo, Valeriy Y. Ivanov   +7 more
wiley   +1 more source