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Nadja Gomes Machado,Thiago Meirelles Ventura,Victor Hugo de Morais Danelichen,Carlos Alexandre Santos Querino,Marcelo Sacardi Biudes
Rainfall is the key element in regional water balance, and has direct influence over economic activity. Quantifying rainfall at spatial and temporal scales in regions where meteorological stations are scarce is important for agriculture, natural resource...
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Yacine Mohia, Rafik Absi, Mourad Lazri, Karim Labadi, Fethi Ouallouche and Soltane Ameur
To estimate rainfall from remote sensing data, three machine learning-based regression models, K-Nearest Neighbors Regression (K-NNR), Support Vector Regression (SVR), and Random Forest Regression (RFR), were implemented using MSG (Meteosat Second Genera...
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Kindie Engdaw Tadesse, Assefa M. Melesse, Adane Abebe, Haileyesus Belay Lakew and Paolo Paron
This study presents three global precipitation products and their downscaled versions (CHIRPSv2, TAMSATv3, PERSIANN_CDR, CHIRPS_D, PERSIANNN_CDR_D, and TAMSAT_D) estimated with observed values from 1983 to 2014. Performance evaluation of global precipita...
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Juan Soria, Miguel Jover and José Antonio Domínguez-Gómez
Wind significantly influences suspended matter in lakes, especially in shallow lagoons. To know how wind affects the water in Albufera of Valencia, a shallow coastal lagoon, the measured variables of turbidity and transparency have been correlated with t...
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Jonathan Coto, W. Linwood Jones and Gerald M. Heymsfield
This paper deals with the validation of rain rate and wind speed measurements from the High-Altitude Wind and Rain Airborne Profiler (HIWRAP), which occurred in September 2013 when the NASA Global Hawk unmanned aerial vehicle passed over an ocean rain sq...
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Bagus Setiabudi Wiwoho, Ike Sari Astuti, Imam Abdul Gani Alfarizi and Hetty Rahmawati Sucahyo
A total of three different satellite products, CHIRPS, GPM, and PERSIANN, with different spatial resolutions, were examined for their ability to estimate rainfall data at a pixel level, using 30-year-long observations from six locations. Quantitative and...
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Luca Massi, Laura Frittitta, Chiara Melillo, Francesca Polonelli, Veronica Bianchi, Anna Maria De Biasi and Caterina Nuccio
Chromophoric dissolved organic matter (CDOM) is the fraction of the Dissolved Organic Carbon (DOC) mainly absorbing UV and blue radiation, influencing water optical properties, light availability for primary production, and water-leaving radiance. In ope...
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Henk A. R. de Bruin and Isabel F. Trigo
Reference crop evapotranspiration (ETo) plays a role in irrigation advisory being of crucial importance for water managers dealing with scarce water resources. Following the ETo definition, it can be shown that total solar radiation is the main driver, a...
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Bolívar Erazo, Luc Bourrel, Frédéric Frappart, Oscar Chimborazo, David Labat, Luis Dominguez-Granda, David Matamoros and Raul Mejia
A dense rain-gauge network within continental Ecuador was used to evaluate the quality of various products of rainfall data over the Pacific slope and coast of Ecuador (EPSC). A cokriging interpolation method is applied to the rain-gauge data yielding a ...
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Mauro Rossi, Dalia Kirschbaum, Daniela Valigi, Alessandro Cesare Mondini and Fausto Guzzetti
Landslides can be triggered by intense or prolonged rainfall. Rain gauge measurements are commonly used to predict landslides even if satellite rainfall estimates are available. Recent research focuses on the comparison of satellite estimates and gauge m...
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