Monitoring and prediction of hurricane tracks using GPS tropospheric products

Ejigu, Yohannes Getachew; Teferle, Felix Norman; Kłos, Anna; Bogusz, Janusz; Hunegnaw, Addisu

doi:10.1007/s10291-021-01104-3

Cited by 15 publications

(8 citation statements)

References 65 publications

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“…Various studies have shown that precipitation events are influenced by the timing, positioning, and duration of vertically integrated water vapor transport (e.g., atmospheric rivers; Gimeno et al, 2014). Its convergence is crucial for the development of events of intense convective activity (e.g, Ejigu et al, 2021). The vertically integrated moisture fluxes (VIMF) (Eq.…”

Section: Methodsmentioning

confidence: 99%

Inter ocean basin moisture fluxes and the onset of the summer rainy season over southern Mexico

Magaña

Díaz²

2022

Front. Clim.

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The onset of the rainy season in monsoonal climates is a key element for the development of water related activities. In southern Mexico, it starts in late May or early June, while in western and northwestern part of the country in begins between early and mid-July. Previous studies indicate that it depends on the meridional position of the eastern Pacific Inter Tropical Convergence Zone (ITCZ). By mean of analyses of the Vertically Integrated Moisture Flux, the low level atmospheric dynamics in the tropical Americas is analyzed to establish the temporal evolution of inter ocean moisture fluxes that lead to the onset of the summer rainy season in southern Mexico. The onset of the rainy season depends on the longitudinal position of the center of maximum convective activity in the ITCZ, which induces a quasi-stationary low-level cyclonic circulation that results in moisture fluxes to the Mexican Pacific coast and rains. The Caribbean Low-Level Jet (CLLJ) is a mechanism that modulates inter ocean basin moisture fluxes into the eastern Pacific ITCZ and the location of the maximum convective activity in this system. We propose that the sequence of events that leads to the onset of the rainy season in southern Mexico is: (i) an episode of strong moisture flux from the Caribbean Sea into the eastern Pacific ITCZ, (ii) a region of intense convective activity in the ITCZ that triggers a quasi-stationary low-level cyclonic circulation which in turn, induces moisture flux into southern Mexico, and (iii) the development of convective activity in southern Mexico that determines the onset of the rainy season. The intensification of the CLLJ from June to July also results in a westward displacement of the region of maximum convection within the ITCZ that leads to changes in the atmospheric circulations and moisture fluxes that determine the onset of the rainy season at higher latitudes in the Mexican Pacific coast.

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Section: Methodsmentioning

confidence: 99%

Inter ocean basin moisture fluxes and the onset of the summer rainy season over southern Mexico

Magaña

Díaz²

2022

Front. Clim.

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“…The use of GPS/GNSS data in meteorology, hereafter called GPS meteorology, has been introduced. Many applications of GPS meteorology, such as tracking hurricanes/cyclones [3], observing water vapor during a typhoon [4], meteorology forecasting [5], [6], [7]. In this research, we use twenty-three GPS stations from Indonesian Continuously Operating Stations (Ina-CORS) located in East Java to study the spatio-temporal variation of water vapor during 2020.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Spatio-Temporal Water Vapor Variation in the East Java using Ground Based GPS Receivers

Susilo

Handoko

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Water vapor plays a critical role in the global/regional scale of weather and climate changes. Traditionally, the water vapor measurement uses radiosonde balloons which are very sparse in the distribution. The utilization of GPS as a new method for studying water vapor has been studied in several publications. This research analyzed the precipitable water vapor (PWV) based on ground-based GPS receivers in the East Java region. In the first part, the datasets are compared. The Zenith Total Delay (ZTD) from GPS processing will be compared with the Zenith Path Delay from the International GNSS Service (IGS) results. The comparison of ZTD and ZPD shows a good agreement. The comparison of GPS PWV and Radiosonde shows a good agreement. The spatio-temporal of GPS PWV is correlated with the Monsoon Asian-Australian cycles that affect weather and climate in Indonesia. The result indicates that GPS data provide valuable information in meteorology and climatology.

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“…Wang et al [2] apply the numerical method to FS prediction; Li et al [3] apply grey theory to FS prediction; Li et al [4,5] put forward several methods to calculate the settlement of sand drain foundation. e results show that the settlement of sand drain foundation caused by lateral deformation must be paid attention to.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Prediction of Highway Foundation Settlement Based on Particle Swarm Optimization and Support Vector Machine

Yang

Yuan

2022

Mathematical Problems in Engineering

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Highway construction has always been an important strategy in China’s construction projects. However, because the soil in the construction area belongs to the soft soil zone, there will often be large vertical deformation in the construction process, which will seriously affect the engineering quality, so the highway FS (foundation settlement) prediction is particularly important. In order to improve the accuracy of highway stability prediction and ensure the safety of highway engineering, a prediction model based on PSO_SVM (support vector machine for particle swarm optimization) is proposed. By using the particle velocity and its position in the PSO algorithm to correspond to the kernel function parameters and penalty factors of the parameters in the model, the optimal parameters are found and substituted into the SVM prediction model to obtain the PSO_SVM. The results show that the MAD of section A# and section B # of PSO_SVM is 0.8991 and 1.3027 for different monitoring points. Conclusion. PSO_SVM has a strong learning and generalization ability, high prediction accuracy, stability, and adaptability, and can reflect the overall change information of highway FS data, which has practical application value.

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Monitoring and prediction of hurricane tracks using GPS tropospheric products

Cited by 15 publications

References 65 publications

Inter ocean basin moisture fluxes and the onset of the summer rainy season over southern Mexico

Inter ocean basin moisture fluxes and the onset of the summer rainy season over southern Mexico

An Analysis of Spatio-Temporal Water Vapor Variation in the East Java using Ground Based GPS Receivers

Monitoring and Prediction of Highway Foundation Settlement Based on Particle Swarm Optimization and Support Vector Machine

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