Results 51 to 60 of about 141 (127)

Interpretation of the Tropospheric Gradients Estimated With GPS During Hurricane Harvey

Earth and Space Science, 2019
During the last decade Global Positioning System (GPS) Continuous Operating Reference Stations networks have become a new important data source for meteorology.
Victoria Graffigna, Manuel Hernández‐Pajares, Mauricio Gende, Francisco Azpilicueta, Pablo Antico   +4 more
doaj   +1 more source

GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu, Quanfei Wang, Yuxin Zheng, Xiaohong Zhang, Jiafeng Li, Xuanzhen Zhang, Galina Dick, Jonathan Jones   +7 more
wiley   +1 more source

Potential of Cost-Efficient Single Frequency GNSS Receivers for Water Vapor Monitoring

Remote Sensing, 2018
Dual-frequency Global Navigation Satellite Systems (GNSSs) enable the estimation of Zenith Tropospheric Delay (ZTD) which can be converted to Precipitable Water Vapor (PWV).
Andreas Krietemeyer, Marie-claire ten Veldhuis, Hans van der Marel, Eugenio Realini, Nick van de Giesen   +4 more
doaj   +1 more source

Ground-Based GNSS Atmospheric Remote Sensing for Ultra-Short-Term Wind-Power Forecasting: A Direction-Proxy-Guided Graph-Residual Approach

Remote Sensing
Ground-based Global Navigation Satellite System (GNSS) stations provide continuous atmospheric remote sensing through electromagnetic propagation delays.
Peiyan Gong, Chaoxia Yuan
doaj   +1 more source

NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX)

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
This paper details the Sundowner Wind Experiment (SWEX) datasets, which characterize downslope winds to advance understanding of boundary layer processes and improve wildfire research and forecasting. The comprehensive, quality‐controlled data from various atmospheric observational platforms will be invaluable for future multidisciplinary research ...
Jacquelyn C. Witte, William Brown, Leila Carvalho, Terry Hock, Steven Oncley, Matthew Paulus, Christopher Roden, John Sobtzak, Isabel Suhr, Holger Vömel   +9 more
wiley   +1 more source

ARIMA-KOA-CNN-GRU-Attention Model for Improving GNSS Water Vapor Prediction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precipitable water vapor (PWV), retrievable from Global Navigation Satellite Systems (GNSS) measurements, is a key indicator of tropospheric water vapor content and crucial for weather forecasting and climate research.
Xiangrong Yan, Weifang Yang, Kefei Zhang, Zufeng Li, Longjiang Li, Suqin Wu, Nan Ding, Wenyuan Zhang, Peng Sun, Minghao Zhang, Leshi Wang, Yi Sun, Xuhong Suo   +12 more
doaj   +1 more source

A Window‐Augmented Machine Learning Approach for Direct GNSS Precipitable Water Vapor Retrieval

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Global Navigation Satellite Systems (GNSS) provide an effective means for remote sensing of precipitable water vapor (PWV). However, conventional GNSS‐based PWV retrieval approaches rely heavily on auxiliary meteorological parameters, which are frequently unavailable in real time, while most direct retrieval methods use station data aggregated
Zhouao Zheng, Haoyu Wang, Liangke Huang, Ziwei Li, Haojun Li, Hongxing Zhang, Junyu Li, Lilong Liu   +7 more
wiley   +1 more source

TOMO4D Operator for Assimilation of GNSS Tomography‐Derived Water Vapor Fields Into the WRFDA 4DVAR System to Improve Regional Rainfall Forecasting

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract Accurate representation of atmospheric water vapor is crucial for improving numerical weather prediction, particularly over regions with complex topography and sparse observation networks. Although assimilation of Global Navigation Satellite System (GNSS)‐derived integrated products such as zenith total delay or precipitable water vapor can ...
Arash Tayfehrostami, Yazdan Amerian, Saeed Izanlou, Majid Azadi   +3 more
wiley   +1 more source

A Selective State-Space-Model Based Model for Global Zenith Tropospheric Delay Prediction

Remote Sensing
The Zenith Tropospheric Delay (ZTD) is a significant atmospheric error affecting the accuracy of the Global Navigation Satellite System (GNSS). Accurate estimation of the ZTD is essential for enhancing GNSS positioning precision and plays a critical role
Cong Yang, Xu Lin, Zhengdao Yuan, Lunwei Zhao, Jie Zhao, Yashi Xu, Jun Zhao, Yakun Han   +7 more
doaj   +1 more source

Major Melting Event on the Ross Ice Shelf, Antarctica, Connected With Enhanced Atmospheric Turbulence

Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract The Ross Ice Shelf (RIS) in West Antarctica experienced extensive surface melting in January 2016, driven by warm humid air transported from over the Southern Ocean. Few studies have reported increased atmospheric water vapor and turbulent mixing during this event in this region, where the availability of surface measurements is challenging ...
Dhiman R. Mondal, Pedro Elosegui, Nathra Ramrajvel, Scott Paine   +3 more
wiley   +1 more source