Results 61 to 70 of about 794,576 (207)

Developing an Object‐Based Climatology of Tornadic Storms Over the United States Using Machine Learning and Radar Reanalysis

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Tornado climatologies over the contiguous United States have traditionally relied on report‐based data sets, which are subject to biases related to population density, time of day, and evolving observational practices. This study presents an object‐based machine learning framework for constructing a tornado climatology using storm cluster data
Wenjun Cui, Kiel L. Ortega, Skylar S. Williams   +2 more
wiley   +1 more source

Study on Weather Radar Echo Data Generation Based on DCGAN

IEEE Access, 2019
Doppler weather radar can detect the changes in precipitation clouds for short-term forecasting. In the process of development of Doppler weather radar and weather identification algorithms, some typical Doppler weather radar base data corresponding to ...
Haijiang Wang, Mengqing Gao, Shipeng Hu, Zhaoping Sun, Zili Xu   +4 more
doaj   +1 more source

Open Ocean Biogeochemical Impacts of Extreme Terrestrial Precipitation

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Extreme events reshape ocean ecosystems with significant implications for nutrient and carbon cycling. Here, we demonstrate that flooding on land can be a significant driver of biogeochemical variability in the open ocean, even in relatively dry climates.
Shailja Gangrade, Mara A. Freilich, Élise Beaudin, Kelly M. A. Luis, Inés M. Leyba, Melissa M. Omand, Sarah E. Lang, Jeff S. Bowman, Larry O’Neill, Dante A. Capone   +9 more
wiley   +1 more source

Structure of Boundary Layer Wind and Turbulence in Super Typhoon Ragasa and Typhoon Wipha During Landfall

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract Boundary layer turbulence and vertical mixing exert great control over the structure and evolution of tropical cyclones (TCs). However, scaling and parameterizing them remains challenging due to their inherent complexity and limited observations.
Junyi He, Yucheng Xue, Feng Hu, Yikang Liu, Qiusheng Li, Honglong Yang, Pak Wai Chan   +6 more
wiley   +1 more source

Sub-Nyquist pulse Doppler MIMO radar [PDF]

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Pulse Doppler multiple input multiple output (MIMO) radar allows to simultaneously detect targets' range, azimuth and velocity. Achieving high resolution requires a large number of transmit and receive antennas, as well as high sampling rates leading to a torrent of samples.
Cohen, David, Cohen, Deborah, Eldar, Yonina C., Haimovich, Alexander M.   +3 more
openaire   +3 more sources

Measuring River Surface Velocity Using UAS‐Borne Doppler Radar

Water Resources Research
Using Unoccupied Aerial Systems (UAS) equipped with optical RGB cameras and Doppler radar, surface velocity can be efficiently measured at high spatial resolution.
Zhen Zhou, Laura Riis‐Klinkvort, Emilie Ahrnkiel Jørgensen, Christine Lindenhoff, Monica Coppo Frías, Alexander Rietz Vesterhauge, Daniel Haugård Olesen, Makar Lavish, Alexey Dobrovolskiy, Alexey Kadek, Niksa Orlic, Tomislav Grubesa, Luka Drmić, Henrik Grosen, Sune Nielsen, Daniel Wennerberg, Viktor Fagerström, Jenny Axén, David Gustafsson, Peter Bauer‐Gottwein   +19 more
doaj   +1 more source

A 1D Cascaded Denoising and Classification Framework for Micro-Doppler-Based Radar Target Recognition

Remote Sensing
Micro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj   +1 more source

A Compensated Structure‐Function Approach to Measuring TKE Dissipation in the Atmospheric Boundary Layer

Geophysical Research Letters, Volume 53, Issue 17, 16 September 2026.
Abstract Despite the importance of turbulence measurements to atmospheric dynamics and modeling, developing objective, accurate schemes to estimate TKE dissipation ε from velocity time‐series has proven elusive. Objective schemes can be automated, as needed for large data sets generated by today's field programs.
Robert M. Banta, Christoph J. Senff
wiley   +1 more source

Concurrent Cloud and Drizzle Observations From Synergistic Ground‐Based Measurements

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 17, 16 September 2026.
Abstract Drizzle, a common feature of marine boundary layer clouds formed through collision‐coalescence, plays a key role in cloud microphysics and evolution. However, simultaneously retrieving cloud and drizzle properties from remote‐sensing observations remains challenging because drizzle droplets often dominate radar signals, masking cloud ...
Ching‐Shu Hung, J. Christine Chiu, Yann Blanchard, Peter Jan van Leeuwen, V. Chandrasekar, Sounak Biswas, Maria P. Cadeddu, Connor Flynn, Fan Mei, Jian Wang   +9 more
wiley   +1 more source

Evaluation of Riming in the P3‐2ice Microphysics Scheme: A Case Study of Cold‐Air Outbreak Snowfall in Eastern China

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 17, 16 September 2026.
Abstract Using the multi‐frequency radar suite, ground‐based observations, and the Weather Research and Forecasting (WRF) model with the Predicted Particle Properties microphysics scheme with the version of two‐ice category (P3‐2ice), we study the characteristics of a cold‐air outbreak (CAO) snowfall event on 6–7 December 2024.
Zhizhi Qin, Hepeng Zheng, Yun Zhang, Chengfang Yang, Yanqiong Xie, Yao Ge, Xuexu Wu, Tianji Su, Lintao Qi, Wenpeng Meng   +9 more
wiley   +1 more source