Results 11 to 20 of about 141 (127)

Evaluation of Forecast‐Based Global GNSS Precipitable Water Vapor Retrieval Using the AI‐Based Global Weather Forecast Model

open access: yesEarth and Space Science
Real‐time water vapor monitoring is critical for meteorological applications such as weather forecasting and nowcasting. However, accurate real‐time retrieval of precipitable water vapor (PWV) from Global Navigation Satellite Systems (GNSS) remains ...
Wenjie Yin   +10 more
doaj   +2 more sources

Differences in Phenological Estimation From Multi-Vegetation Indices Across the Yellow River Basin. [PDF]

open access: yesEcol Evol
This study evaluated the differential performance of PPI, kNDVI, and EVI in monitoring land surface phenology across the Yellow River Basin. The three vegetation indices showed pronounced divergence in capturing autumn phenological metrics, particularly the downturn date (DD) and recession date (RD).
Yu Q, Bai Y, Wang J.
europepmc   +2 more sources

Prediction of tropospheric wet delay by an artificial neural network model based on meteorological and GNSS data

open access: yesEngineering Science and Technology, an International Journal, 2020
Estimation of tropospheric wet delay is of great importance for real-time weather forecasting applications. In the last decade, based on troposphere wet delays obtained from Global Navigation Satellite System observations, high temporal and spatial ...
Mahmut Oguz Selbesoglu
doaj   +1 more source

Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay

open access: yesGeodesy and Geodynamics, 2022
In recent years, the focus of tropospheric studies has evolved to GNSS meteorology and weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the Integrated Water Vapour (IWV), is an essential component of the tropospheric delay ...
Jareer Mohammed
doaj   +1 more source

Effects of the High-Order Ionospheric Delay on GPS-Based Tropospheric Parameter Estimations in Turkey

open access: yesRemote Sensing, 2020
The tropospheric delay and gradients can be estimated using Global Positioning System (GPS) observations after removing the ionospheric delay, which has been widely used for atmospheric studies and forecasting.
Volkan Akgul   +3 more
doaj   +1 more source

A New Global Tropospheric Delay Model Considering the Spatiotemporal Variation Characteristics of ZTD With Altitude Coefficient

open access: yesEarth and Space Science, 2020
Tropospheric delay error is independent of the signal's frequency and has strong spatiotemporal variation. It is one of the most severe error sources of satellite navigation and spatial measurement. In view of the limitation of global zenith tropospheric
Peng Chen   +3 more
doaj   +1 more source

A New Method for Estimating Tropospheric Zenith Wet-Component Delay of GNSS Signals from Surface Meteorology Data

open access: yesRemote Sensing, 2020
A new concept is proposed for estimating the zenith wet delay (ZWD) and atmospheric weighted average temperature by inputting the temperature, total pressure, and specific humidity from surface weather data.
Pengfei Xia   +3 more
doaj   +1 more source

Regression models for predicting daily IGS zenith tropospheric delays in West Africa: Implication for GNSS meteorology and positioning applications

open access: yesMeteorological Applications, 2021
The ability to precisely and accurately model and predict tropospheric delay is essential for precise global navigation satellite system (GNSS) and meteorological applications.
Samuel Osah   +3 more
doaj   +1 more source

Use of GNSS Tropospheric Delay Measurements for the Parameterization and Validation of WRF High-Resolution Re-Analysis over the Western Gulf of Corinth, Greece: The PaTrop Experiment

open access: yesRemote Sensing, 2021
In the last thirty years, Synthetic Aperture Radar interferometry (InSAR) and the Global Navigation Satellite System (GNSS) have become fundamental space geodetic techniques for mapping surface deformations due to tectonic movements.
Nikolaos Roukounakis   +6 more
doaj   +1 more source

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