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Hatef Dastour and Quazi K. Hassan
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread. In such situations, recurring data gaps can lead to unfavora...
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Timothy T. Wynne, Michelle C. Tomlinson, Travis O. Briggs, Sachidananda Mishra, Andrew Meredith, Ronald L. Vogel and Richard P. Stumpf
This manuscript describes methods for evaluating the efficacy of five satellite-based Chlorophyll-a algorithms in Chesapeake Bay, spanning three separate sensors: Ocean Land Color Imager (OLCI), Visible Infrared Imaging Radiometer Suite (VIIRS), and MODe...
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Luis Felipe Navarro-Olache,Rubén Castro,Reginaldo Durazo,Rafael Hernández-Walls,Adán Mejía-Trejo,Xavier Flores-Vidal,Ana Laura Flores-Morales
Pág. 97 - 109
The influence of easterly and northeasterly dry and warm Santa Ana winds (SAw) on the surface circulation of Todos Santos Bay, Mexico, is studied from surface currents and wind data measured during the most extreme periods of activity (autumn-winter seas...
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Shaun Tyan Gin Lim and Francesco Perono Cacciafoco
Public transport is integral to the development of cities. It promotes economic development, mitigates environmental degradation, and fosters a sense of social cohesion. Notwithstanding, one can understand a place?s culture, geography, history, languages...
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Xiaojing Wu and Donghai Zheng
Unprecedented amounts of spatio-temporal data instigates an urgent need for patterns exploration in it. Clustering analysis is useful in extracting patterns from big data by grouping similar data elements into clusters. Compared with one-way clustering a...
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Sirikanya Cheevaprasert, Rajeshwar Mehrotra, Sansarith Thianpopirug and Nutchanart Sriwongsitanon
This study presents an exhaustive evaluation of the performance of three statistical downscaling techniques for generating daily rainfall occurrences at 22 rainfall stations in the upper Ping river basin (UPRB), Thailand. The three downscaling techniques...
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Jorge Luis Morales,Francisco Antonio Horta -Rangel,Ignacio Segovia-Domínguez,Agustín Robles Morua,Jesús Horacio Hernández
Pág. 237 - 259
In the present work, two new generalized weighted methods of imputation of missing data are developed and tested using a daily rainfall series. The proposed methodology allows to fully rebuild the time series while preserving its statistical properties. ...
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Sanjaya Devkota, Narendra Man Shakya, Karen Sudmeier-Rieux, Michel Jaboyedoff, Cees J. Van Westen, Brian G. Mcadoo and Anu Adhikari
Intense monsoonal rain is one of the major triggering factors of floods and mass movements in Nepal that needs to be better understood in order to reduce human and economic losses and improve infrastructure planning and design. This phenomena is better u...
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Paulo Miguel de Bodas Terassi and Emerson Galvani
The objectives of this study are to use a clustering technique to identify homogeneous rainfall regions in the watersheds of the eastern region of the state of Paraná and to associate the spatial and temporal distribution of rainfall with the influences ...
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Evans Zhandire
This paper introduces a solar resource index that responds to site-specific sky conditions resulting from stochastic movement and evolution of clouds. The developed solar resource classification index called probability of persistence (POPD) had limited ...
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