Topoclimatic modeling for minimum temperature prediction at a regional scale in the Central Valley of Chile

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dc.contributor.author Santibanez, F en_US
dc.contributor.author Morales, L en_US
dc.contributor.author La Fuente, J en_US
dc.contributor.author Cellier, P en_US
dc.contributor.author Huete, Alfredo en_US
dc.contributor.editor en_US
dc.date.accessioned 2011-02-07T06:21:35Z
dc.date.available 2011-02-07T06:21:35Z
dc.date.issued 1997 en_US
dc.identifier 2009001363 en_US
dc.identifier.citation Santibanez F et al. 1997, 'Topoclimatic modeling for minimum temperature prediction at a regional scale in the Central Valley of Chile', E D P Sciences, vol. 17, no. 6-7, pp. 307-314. en_US
dc.identifier.issn 1774-0746 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13425
dc.description.abstract Spring frost may strongly affect fruit production in the Central Valley of Chile. Minimum temperatures are spatially variable owing to topography and soil conditions. A methodology for forecasting minimum temperature at a regional scale in the Central Valley of Chile, integrating spatial variability of temperature under radiative frost conditions, has been developed. It uses simultaneously a model for forecasting minimum temperatures at a reference station using air temperature and humidity measured at 6 pm, and topoclimatic models, based on satellite infra-red imagery (NOAA/AVHRR) and a digital elevation model, to extend the prediction at a regional scale. The methodological developments were integrated in a geographic information system for georeferencing of a meteorological station with satellite imagery and modeled output. This approach proved to be a useful tool for short range (12 h) minimum temperature prediction by generating thermal images over the Central Valley of Chile. It may also be used as a tool for frost risk assessment, in order to adapt production to local climatological conditions. en_US
dc.language en_US
dc.publisher E D P Sciences en_US
dc.relation.isbasedon http://dx.doi.org/10.1051/agro:19970601 en_US
dc.title Topoclimatic modeling for minimum temperature prediction at a regional scale in the Central Valley of Chile en_US
dc.parent Agronomy for Sustainable Development en_US
dc.journal.volume 17 en_US
dc.journal.number 6-7 en_US
dc.publocation France en_US
dc.identifier.startpage 307 en_US
dc.identifier.endpage 314 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 070100 en_US
dc.personcode 0000058920 en_US
dc.personcode 0000058921 en_US
dc.personcode 0000058922 en_US
dc.personcode 0000058923 en_US
dc.personcode 108636 en_US
dc.percentage 100 en_US
dc.classification.name Agriculture, Land and Farm Management en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords spring frost / infrared imagery / satellite / digital elevation model / minimum temperature prediction en_US
dc.staffid 108636 en_US


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