Results 51 to 60 of about 968 (175)

Seasonal Characteristics of Mesoscale Convective Systems Over the Philippines

International Journal of Climatology, Volume 46, Issue 7, 15 June 2026.
This study examines how mesoscale convective systems (MCSs) over the Philippines are most frequent during boreal summer, while those in winter are longer‐lived and more intense due to cold surges and enhanced easterly moisture transport. Intraseasonal oscillations, such as the Madden‐Julian Oscillation (MJO) and the Boreal Summer Intraseasonal ...
Cathrene Lagare, Junshi Ito, Takeshi Yamazaki, Giuseppe Torri   +3 more
wiley   +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

Assessment of high-order ionopsheric effects on GPS-estimated precipitable water vapor

, 2017
The precipitable water vapor (PWV) can be estimated from dual-frequency GPS observations, which has been widely used for atmospheric study and weather forecasting. However, high-order ionospheric delays are normally ignored in GPS applications.
Volkan Akgul, Shuanggen Jin, Gokhan Gurbuz   +2 more
core   +1 more source

Unconstrained GNSS Water Vapor Tomography With Real Data and LEO Augmentation

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The availability of four complete GNSS constellations (GPS, GLONASS, BeiDou and Galileo) offers, for the first time, the possibility of performing water vapor tomographic inversions that do not rely on external data. A tomographic model that includes no external constraints and requires no first guess and no virtual observations is described ...
P. M. A. Miranda, G. A. Hajj, J. Teixeira, P. Mateus   +3 more
wiley   +1 more source

GNSS precipitable water vapor from an Amazonian rain forest flux tower [PDF]

, 2011
Understanding the complex interactions between water vapor fields and deep convection on the mesoscale requires observational networks with high spatial (kilometers) and temporal (minutes) resolution.
David K. Adams, Silva Fernandes, Rui Manuel da, Maia, Jair Max Furtunato, Rui M. S. Fernandes, Jair M. F. Maia, Adams, David K.   +5 more
core   +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

Development of a Local Mean Temperature Equation for GPS-Based Precipitable Water Vapor Over the Korean Peninsula [PDF]

Journal of Astronomy and Space Sciences, 2006
The Bevis' mean temperature equation (MTE) is generally used in estimating Precipitable Water Vapor (PWV) based on GPS measurements. Because the equation was derived from North American meteorological data, however, it may induce errors in PWV if the ...
Juhyun Ha, Kwan-Dong Park, Bok-Haeng Heo
doaj   +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

Impacts of Atmospheric Rivers in Central Greenland: Snowfall, Clouds, and Atmospheric State

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract Atmospheric rivers (ARs) are long bands of strong horizontal water vapor transport responsible for over 90% of total integrated vapor transport (IVT) in extratropical and polar regions. Using a 12‐year record (2010–2022) of ground‐based remote sensing, radiosonde, snow stake, and reanalysis data from Summit Station, Greenland, we quantify the ...
A. E. Wedum, C. Pettersen, H. Guy, M. R. Gallagher, M. D. Shupe, K. S. Mattingly   +5 more
wiley   +1 more source

Neural Network–Based Precipitable Water Vapor Estimation Integrating Ground Observations and GFS Data

Advances in Meteorology, Volume 2026, Issue 1, 2026.
Precipitable water vapor (PWV) is a critical factor in precipitation formation, the hydrological cycle, and climate change. In this study, a neural network–based PWV estimation model was established using near‐surface meteorological observation and numerical weather prediction (NWP) products.
Chenghua Xie, Pramita Mishra
wiley   +1 more source