Results 161 to 170 of about 1,220 (193)

Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece

Remote Sensing, 2020
The derivation of global navigation satellite systems (GNSSs) tropospheric products is nowadays a state-of-the-art technique that serves both research and operational needs in a broad range of applications in meteorology.
Christos Giannaros, Vassiliki Kotroni, Konstantinos Lagouvardos   +2 more
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Assessing long-term ZTD trends for climate

2023
In this presentation we showcase results of an ongoing effort to assess long-term ZTD trends for eventual use in climate models, either for assimilation or validation. We have been analyzing the ZTD time series estimated from six REPRO3 IGS Analysis Centers (ACs), namely, COD, ESA, GFZ, GRG, JPL, TUG, to compare their long-term trends.
Marcelo C. Santos, Jordan Rees, Kyriakos Balidakis,, Anna Klos, Rosa Pacione   +4 more
openaire   +1 more source

Estimation of ZTD Using ANFIS

2015
This chapter describes the estimation of zenith tropospheric delay (ZTD) using ANFIS technique followed by obtaining of ZTD data from GPS together with data location of dataset. This chapter also describes the method of analysis used in the development of ZTD estimation model.
Wayan Suparta, Kemal Maulana Alhasa
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Prediction of ZTD Based on ANFIS Model

2015
Since the tropospheric delay plays a crucial role in meteorological studies and weather forecasts as well as positioning accuracy, accurate prediction of its value is critical to helping monitoring the ZTD variation on a global basis. In the previous chapter, ZTD has been estimated with a fuzzy inference system that uses a back-propagation algorithm ...
Wayan Suparta, Kemal Maulana Alhasa
openaire   +1 more source

GPS zenith tropospheric delay (ZTD) variability in the Mediterranean

Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, 2001
Abstract In the context of the MAGIC project (Meteorological Applications of GPS Integrated Column Water Vapor Measurements in the Western Mediterranean), zenith tropospheric delays (ZTD) are computed from Global Positioning System (GPS) signals at permanent sites in the western Mediterranean area continuously since November 1998.
Haase, J., Vedel, H., Ge, M., Calais, E.
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Ground-GNSS ZTD trends for climate models

GNSS Zenith Total Delay (ZTD) estimates are quantities of great interest by climate modellers since atmospheric water vapour is the major greenhouse gas. Therefore, the importance of its accurate, long-term monitoring and evaluation of trends and variability, potentially serving as independent benchmarks to climatological models, both on longer trends ...
Marcelo C. Santos, Rosa Pacione, Kyriakos Balidakis, Sharyl Byrant, Galina Dick, Riley Hughes, Jonathan Jones, Hanes Keernik, Anna Klos, Yidong Lou, Haroldo Marques, Samuel Nahmani, Thalia Nikolaidou, Kalev Rannat, Raul Valenzuela, Zhang Weixing, Yibin Yao, Peng Yuan   +17 more
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Consistency and Homogeneity of ZTD Estimates from IGS Repro3

In 2019-2020, the International GNSS Service (IGS) coordinated its third reanalysis of the complete history of GNSS data collected by the IGS global network since 1994. Ten analysis centers (ACs) participated in this so-called “Repro3” effort, using the latest models and methodologies. Several of them provided, among other products,
Hugo Breton, Olivier Bock, Samuel Nahmani   +2 more
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Understanding and reducing ZTD outliers in GNSS PPP-derived products

Zenith Total Delay (ZTD) estimates derived from GNSS observations are essential for atmospheric and geodetic applications. When processed using Precise Point Positioning (PPP), ZTD time series exhibit enhanced stability compared to network-based approaches.
Hugo Breton, Olivier Bock, Samuel Nahmani, Pierre Bosser, Alvaro Santamaría-Gómez, Arnaud Pollet, Sylvain Loyer   +6 more
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Apparent Short-Period GNSS-ZTD Disturbance Correlated With Precipitation Events

IEEE Geoscience and Remote Sensing Letters, 2022
Yongchao Ma, Tong Liu 0042, Guochang Xu, Zhiping Lu   +3 more
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A direct conversion model from ZTD to PWV based on the random forest

Measurement Science and Technology
Abstract Precipitable water vapor (PWV) is crucial for weather forecasting and climate change research. However, accurate PWV estimation is challenging, especially in the absence of measured meteorological data. In this study, we develop a conversion model based on the random forest algorithm, called RPWV, which can directly derive PWV ...
Chunhua Jiang, Shaoni Chen, Xiang Gao, Huizhong Zhu, Meng Gao, Shuaimin Wang, Guangsheng Liu   +6 more
openaire   +1 more source