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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2349

Title: Modeling primary production using a 1 km daily meteorological data set
Authors: Maselli, Fabio
Pasqui, Massimiliano
Chirici, Gherardo
Chiesi, Marta
Fibbi, Luca
Salvati, Riccardo
Corona, Piermaria
Keywords: Meteorological data set
E-OBS data set
Locally calibrated regression
Gross primary production modeling
Issue Date: 2012
Publisher: Inter-Research Science Center
Citation: Maselli, F. et al. 2012. Modeling primary production using a 1 km daily meteorological data set. "Climate Research" 54: 271–285
Abstract: The availability of daily meteorological data extended over wide areas is a common requirement for modeling vegetation processes on regional scales. The present paper investigates the applicability of a pan-European data set of daily minimum and maximum temperatures and precipitation, E-OBS, to drive models of ecosystem processes over Italy. Daily meteorological data from a 10 yr period (2000 to 2009) were first downscaled to 1 km spatial resolution by applying locally calibrated regression
Description: L'articolo è disponibile sul sito dell'editore www.int-res.com. Periodo di embargo: 5 anni.
DOI: 10.3354/cr01121
URI: http://hdl.handle.net/2067/2349
ISSN: 1616-1572
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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