Follow
Domenico Vitale
Title
Cited by
Cited by
Year
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
G Pastorello, C Trotta, E Canfora, H Chu, D Christianson, YW Cheah, ...
Scientific data 7 (1), 225, 2020
9062020
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
S Sabbatini, I Mammarella, N Arriga, G Fratini, A Graf, L Hörtnagl, A Ibrom, ...
International agrophysics 32 (4), 495-515, 2018
842018
Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe's terrestrial ecosystems: a review
D Franz, M Acosta, N Altimir, N Arriga, D Arrouays, et al
International Agrophysics 32 (4), 439-455, 2018
732018
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ...
Agricultural and Forest Meteorology 308, 108528, 2021
522021
A statistical analysis of factors affecting higher education dropouts
P Perchinunno, M Bilancia, D Vitale
Social Indicators Research 156, 341-362, 2021
452021
Towards a flux-partitioning procedure based on the direct use of high-frequency eddy-covariance data
L Palatella, G Rana, D Vitale
Boundary-layer meteorology 153, 327-337, 2014
362014
Time trend in reference evapotranspiration: analysis of a long series of agrometeorological measurements in Southern Italy
AD Palumbo, D Vitale, P Campi, M Mastrorilli
Irrigation and Drainage Systems 25, 395-411, 2011
302011
Carbon assimilation and water use efficiency of a perennial bioenergy crop (Cynara cardunculus L.) in Mediterranean environment
G Rana, RM Ferrara, D Vitale, L D’Andrea, AD Palumbo
Agricultural and forest meteorology 217, 137-150, 2016
252016
Trends and extremes analysis of daily weather data from a site in the Capitanata plain (southern Italy)
D Vitale, G Rana, P Soldo
Italian Journal of Agronomy 5 (2), 133-144, 2010
252010
A comparison of different methods for assessing leaf area index in four canopy types
C Ariza-Carricondo, F Di Mauro, MO de Beeck, M Roland, B Gielen, ...
Central European Forestry Journal 65 (2), 67-80, 2019
242019
A robust data cleaning procedure for eddy covariance flux measurements
D Vitale, G Fratini, M Bilancia, G Nicolini, S Sabbatini, D Papale
Biogeosciences 17, 1367-1391, 2020
232020
A Multiple Imputation Strategy for Eddy Covariance Data
D Vitale, M Bilancia, D Papale
Journal of Environmental Informatics 34 (2), 2019
192019
Modelling random uncertainty of eddy covariance flux measurements
D Vitale, M Bilancia, D Papale
Stochastic environmental research and risk assessment 33, 725-746, 2019
72019
Eddy covariance flux errors due to random and systematic timing errors during data acquisition
G Fratini, S Sabbatini, K Ediger, B Riensche, G Burba, G Nicolini, D Vitale, ...
Biogeosciences, 2018
72018
Near Real Time Data Processing In ICOS RI
M Hellström, A Vermeulen, O Mirzov, S Sabbatini, D Vitale, D Papale, ...
Proceedings of 2nd International Workshop on Interoperable infrastructures …, 2016
72016
Role of the natural and anthropogenic radiative forcings on global warming: evidence from cointegration–VECM analysis
D Vitale, M Bilancia
Environmental and ecological statistics 20, 413-444, 2013
72013
FLUXNET2015 IT-Ro1 Roccarespampani 1
R Valentini, G Tirone, D Vitale, D Papale, N Arriga, L Belelli, S Dore, ...
52016
Anthropogenic CO2 Emissions and Global Warming: Evidence from Granger Causality Analysis
M Bilancia, D Vitale
Advanced statistical methods for the analysis of large data-sets, 229-239, 2012
52012
Climate Change and Irrigation Water Consumption: a Case Study of the Olive and Tomato in Apulia
AD Palumbo, D Vitale, P Campi, M Mastrorilli
Multi-functional Agriculture-Agriculture as a Resource for Energy and …, 2008
52008
A performance evaluation of despiking algorithms for eddy covariance data
D Vitale
Scientific Reports 11 (1), 11628, 2021
32021
The system can't perform the operation now. Try again later.
Articles 1–20