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

Santibáñez, F; Morales, L; De La Fuente, J; Cellier, P; Huete, A

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

Santibáñez, F Morales, L De La Fuente, J Cellier, P Huete, A

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Publication Type:: Journal Article
Citation:: Agronomie, 1997, 17 (6-7), pp. 307 - 314
Issue Date:: 1997-01-01

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Field	Value	Language
dc.contributor.author	Santibáñez, F	en_US
dc.contributor.author	Morales, L	en_US
dc.contributor.author	De La Fuente, J	en_US
dc.contributor.author	Cellier, P	en_US
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376	en_US
dc.date.issued	1997-01-01	en_US
dc.identifier.citation	Agronomie, 1997, 17 (6-7), pp. 307 - 314	en_US
dc.identifier.issn	0249-5627	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.relation.ispartof	Agronomie	en_US
dc.relation.isbasedon	10.1051/agro:19970601	en_US
dc.subject.classification	Agronomy & Agriculture	en_US
dc.title	Topoclimatic modeling for minimum temperature prediction at a regional scale in the Central Valley of Chile	en_US
dc.type	Journal Article
utslib.citation.volume	6-7	en_US
utslib.citation.volume	17	en_US
utslib.for	0701 Agriculture, Land and Farm Management	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	07 Agricultural and Veterinary Sciences	en_US
utslib.for	16 Studies in Human Society	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	6-7	en_US
pubs.publication-status	Published	en_US
pubs.volume	17	en_US

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.

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http://hdl.handle.net/10453/13425