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Your search keyword '"Consoli, Simona"' showing total 16 results
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16 results on '"Consoli, Simona"'

1. Assessment of soil water content variability using electrical resistivity imaging in an Oxisol under conservation cropping systems

Author

Silva, Lucas de Castro Moreira da, primary, Peixoto, Devison Souza, additional, Azevedo, Raphael Passaglia, additional, Avanzi, Junior Cesar, additional, Dias Junior, Moacir de Souza, additional, Vanella, Daniela, additional, Consoli, Simona, additional, Acuña-Guzman, Salvador Francisco, additional, Borghi, Emerson, additional, Resende, Álvaro Vilela de, additional, and Silva, Bruno Montoani, additional

Published
2023
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2. Spatial and temporal electrical resistivity dynamics in a dense Ultisol under deep tillage and different citrus root-stocks

Author

Melo, Laura Beatriz Batista, primary, Benevenute, Pedro Antônio Namorato, additional, Barbosa, Samara Martins, additional, Chiarini, Thayná Pereira Azevedo, additional, Oliveira, Geraldo César, additional, Lima, José Maria, additional, Vanella, Daniela, additional, Consoli, Simona, additional, Ferreira, Ester Alice, additional, and Silva, Bruno Montoani, additional

Published
2023
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4. Comparing the use of ERA5 reanalysis dataset and ground-based agrometeorological data under different climates and topography in Italy

Author

Vanella, Daniela, primary, Longo-Minnolo, Giuseppe, additional, Belfiore, Oscar Rosario, additional, Ramírez-Cuesta, Juan Miguel, additional, Pappalardo, Salvatore, additional, Consoli, Simona, additional, D’Urso, Guido, additional, Chirico, Giovanni Battista, additional, Coppola, Antonio, additional, Comegna, Alessandro, additional, Toscano, Attilio, additional, Quarta, Riccardo, additional, Provenzano, Giuseppe, additional, Ippolito, Matteo, additional, Castagna, Alessandro, additional, and Gandolfi, Claudio, additional

Published
2022
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15. Comparing the use of ERA5 reanalysis dataset and ground-based agrometeorological data under different climates and topography in Italy

Author

Daniela Vanella, Giuseppe Longo-Minnolo, Oscar Rosario Belfiore, Juan Miguel Ramírez-Cuesta, Salvatore Pappalardo, Simona Consoli, Guido D’Urso, Giovanni Battista Chirico, Antonio Coppola, Alessandro Comegna, Attilio Toscano, Riccardo Quarta, Giuseppe Provenzano, Matteo Ippolito, Alessandro Castagna, Claudio Gandolfi, Vanella D., Longo-Minnolo G., Belfiore O.R., Ramirez-Cuesta J.M., Pappalardo S., Consoli S., D'Urso G., Chirico G.B., Coppola A., Comegna A., Toscano A., Quarta R., Provenzano G., Ippolito M., Castagna A., Gandolfi C., Vanella, Daniela, Longo-Minnolo, Giuseppe, Belfiore, Oscar Rosario, Ramírez-Cuesta, Juan Miguel, Pappalardo, Salvatore, Consoli, Simona, D’Urso, Guido, Chirico, Giovanni Battista, Coppola, Antonio, Comegna, Alessandro, Toscano, Attilio, Quarta, Riccardo, Provenzano, Giuseppe, Ippolito, Matteo, Castagna, Alessandro, Gandolfi, Claudio, Daniela Vanella, Giuseppe Longo-Minnolo, Oscar Rosario Belfiore, Juan Miguel Ramírez-Cuesta, Salvatore Pappalardo, Simona Consoli, Guido D'Urso, Giovanni Battista Chirico, Antonio Coppola, Alessandro Comegna, Attilio Toscano, Riccardo Quarta, Giuseppe Provenzano, Matteo Ippolito, Alessandro Castagna, Claudio Gandolfi, and Ministero dell'Istruzione, dell'Università e della Ricerca

Subjects
Weather ground -based observation, Water management, Reanalysis dataset, Data-processing, Irrigation, Modelling and simulation, Weather ground-based observation, Earth and Planetary Sciences (miscellaneous), Water Science and Technology
Abstract

Study region: The study region is represented by seven irrigation districts distributed under different climate and topography conditions in Italy. Study focus: This study explores the reliability and consistency of the global ERA5 single levels and ERA5-Land reanalysis datasets in predicting the main agrometeorological estimates commonly used for crop water requirements calculation. In particular, the reanalysis data was compared, variable-by-variable (e.g., solar radiation, R; air temperature, T; relative humidity, RH; wind speed, u; reference evapotranspiration, ET), with in situ agrometeorological observations obtained from 66 automatic weather stations (2008–2020). In addition, the presence of a climate-dependency on their accuracy was assessed at the different irrigation districts. New hydrological insights for the region: A general good agreement was obtained between observed and reanalysis agrometeorological variables at both daily and seasonal scales. The best performance was obtained for T, followed by RH, R, and u for both reanalysis datasets, especially under temperate climate conditions. These performances were translated into slightly higher accuracy of ET estimates by ERA5-Land product, confirming the potential of using reanalysis datasets as an alternative data source for retrieving the ET and overcoming the unavailability of observed agrometeorological data.

Published
2022
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16. Remote sensing to estimate ET-fluxes and the performance of an irrigation district in southern Italy

Author

Salvatore BARBAGALLO, Simona CONSOLI, Guido D'Urso, Attilio TOSCANO, Consoli, S., D'Urso, G, ., Toscano, A., Consoli, Simona, D'Urso, Guido, and Toscano, Attilio

Subjects
Canopy, Hydrology, Irrigation, Irrigation water management, Hydraulic engineering, business.industry, Crop water requirements, Soil Science, Water supply, Remote sensing, Irrigation district, Multispectral pattern recognition, Crop coefficient, Evapotranspiration, Crop water requirement, Environmental science, business, Agronomy and Crop Science, Earth-Surface Processes, Water Science and Technology
Abstract

Satellite remote sensed data on canopy biophysical properties, ground data and agro-meteorological information were combined to estimate evapotranspiration (ET) fluxes of orange orchards using a modified Penman-Monteith equation. The study was carried out during the irrigation season 2004 in an irrigation district, cover for about 95% with orange groves, of 1550 ha located in eastern Sicily (Italy). The spatial pattern in ET-fluxes have been analysed using IKONOS high-resolution satellite and hyper-spectral ground data acquired and processed for the study-area. The remote estimates of ET-fluxes varied between 1.3 and 5.7 mm/day, with a daily average value of about 4.2 mm, showing a good agreement with crop ET values determined as residual of soil water balance of selected ground control sites. Crop coefficient estimates ranged between 0.22 and 1.08 showing positive correlations with percentages of ground cover (Cg) increasing from 30 to 80% ground shading and with LAI values. By comparing ET estimates with water volumes supplied in each sub-district of the study-area, the performance indicator "IP" was evaluated, allowing to rank the conditions of un-fulfilment of crop water requirements by public and private water distribution systems. Generally, out of 29 sub-districts, 14 had "IP" values less than 50%, revealing a sub-optimal water supply for the study-area. © 2005 Elsevier B.V. All rights reserved.

Published
2006
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