Results 81 to 90 of about 1,500 (207)

Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting

Applied Computing and Geosciences
This paper presents a convolutional neural network model for precipitation nowcasting that combines data-driven learning with physics-informed domain knowledge.
Peter Pavlík, Martin Výboh, Anna Bou Ezzeddine, Viera Rozinajová   +3 more
doaj   +1 more source

Climate‐Adaptive and Cascade‐Constrained Machine Learning Prediction for Sea Surface Height Under Greenhouse Warming

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.
Abstract Machine learning (ML) has achieved remarkable success in climate and marine science. Given that greenhouse warming fundamentally reshapes ocean conditions such as stratification, circulation patterns and eddy activity, evaluating the climate adaptability of the ML models is crucial.
Tianmu Zheng, Ru Chen, Xin Su, Julian Mak, Gang Huang, Bingzheng Yan   +5 more
wiley   +1 more source

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

Aircraft Ionizing Radiation Exposure for Solar Cycle 24/25 From ARMAS and NAIRAS

Space Weather, Volume 24, Issue 7, July 2026.
Abstract Exposure to ionizing radiation from galactic cosmic rays and solar energetic particles at aviation flight altitudes can have an adverse effect on human health. Although airline crews are classified as radiation workers by the International Commission on Radiological Protection (ICRP), in most countries, their level of exposure is unquantified ...
Daniel B. Phoenix, Christopher J. Mertens, Guillaume P. Gronoff, W. Kent Tobiska   +3 more
wiley   +1 more source

Integrating Ice Analyses and Varying Floe Size Parameterization Into Great Lakes Ice Prediction

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Accurate prediction of Great Lakes ice cover is critical for regional weather, navigation support, and safety. Current operational models often exhibit biases, such as over‐prediction of ice concentration and delayed spring melt, potentially due to simplified parameterizations.
Kaitlin Pereira, Eric J. Anderson, James Kessler, Ayumi Fujisaki‐Manome   +3 more
wiley   +1 more source

Improved thunderstorm weather information for pilots through ground and satellite based observing systems [PDF]

, 2010
Today’s weather information for pilots on thunderstorm conditions on their flight path is insufficient. Weather charts provided by the World Area Forecasting Centres and taken onboard by pilots before take-off are based on forecasts of large scale ...
Guillou, Yann, Hauf, Thomas, Zinner, Tobias, Lunnon , Bob, Tafferner, Arnold, Forster, Caroline   +5 more
core  

A New Model of Cutoff Latitude for Solar Energetic Protons Based on the Partial Least Squares Method

Space Weather, Volume 24, Issue 7, July 2026.
Abstract Solar energetic particle (SEP) events can cause space weather hazards, especially at high altitudes and in the polar regions. Therefore, it is important to determine the boundaries that SEPs with different energies/rigidities can access and impact. In this work, we develop a new model of cutoff latitude for solar energetic protons covering the
Zhenghao She, Hui Zhu, Qian Song, Yao Chen, Yingying Zhao, Huicong Chen, Zhijie Qin   +6 more
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

Performance of Met Office hourly cycling NWP-based nowcasting for precipitation forecasts [PDF]

, 2017
The Met Office developed a prototype high‐resolution, hourly‐cycling NWP forecasting system using four‐dimensional variational data assimilation, covering the southern half of England.
David Simonin, Roberts, Nigel, Li, Zhihong, Clive Pierce, Simonin, David, Pierce, Clive, Susan P. Ballard, Zhihong Li, Nigel Roberts, Ballard, Susan P.   +9 more
core   +1 more source

Imminent Localized Precipitation Preceded by a Surge in Cloud‐Base Descent and Reflectivity

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract The nowcasting of localized precipitation (LP) is often limited by insufficient observation of the vertical cloud evolution preceding rainfall. Here we systematically tracked rapid cloud development within 2 hr before LP onset, utilizing cloud data collected in 2024 from the millimeter‐wavelength cloud radar network across China, together with
Zhen Zhang, Jianping Guo, Ning Li, Jianbo Deng, Weilong Deng, Yuping Sun, Yifei Wang, Shuairu Jiang, Liping Zeng, Feng Ma, Tianmeng Chen   +10 more
wiley   +1 more source