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Claudia Vitolo
Claudia Vitolo
European Space Agency
Подтвержден адрес электронной почты в домене esa.int
Название
Процитировано
Процитировано
Год
Web technologies for environmental Big Data
C Vitolo, Y Elkhatib, D Reusser, CJA Macleod, W Buytaert
Environmental Modelling & Software 63, 185-198, 2015
3012015
Heatwaves, droughts, and fires: Exploring compound and cascading dry hazards at the pan-European scale
SJ Sutanto, C Vitolo, C Di Napoli, M D’Andrea, HAJ Van Lanen
Environment international 134, 105276, 2020
2582020
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
M Scutari, C Vitolo, A Tucker
Statistics and Computing 29, 1095-1108, 2019
1372019
ERA5-based global meteorological wildfire danger maps
C Vitolo, F Di Giuseppe, C Barnard, R Coughlan, J San-Miguel-Ayanz, ...
Scientific data 7 (1), 216, 2020
1362020
User-driven design of decision support systems for polycentric environmental resources management
Z Zulkafli, K Perez, C Vitolo, W Buytaert, T Karpouzoglou, A Dewulf, ...
Environmental Modelling & Software 88, 58-73, 2017
1072017
Using R in hydrology: a review of recent developments and future directions
LJ Slater, G Thirel, S Harrigan, O Delaigue, A Hurley, A Khouakhi, ...
Hydrology and Earth System Sciences 2019, 1-33, 2019
912019
Global warming is shifting the relationships between fire weather and realized fire-induced CO2 emissions in Europe
J Carnicer, A Alegria, C Giannakopoulos, F Di Giuseppe, A Karali, ...
Scientific Reports 12 (1), 10365, 2022
882022
Modeling air pollution, climate, and health data using Bayesian Networks: A case study of the English regions
C Vitolo, M Scutari, M Ghalaieny, A Tucker, A Russell
Earth and Space Science 5 (4), 76-88, 2018
872018
A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices
C Vitolo, F Di Giuseppe, B Krzeminski, J San-Miguel-Ayanz
Scientific data 6 (1), 1-10, 2019
702019
Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system
F Di Giuseppe, C Vitolo, B Krzeminski, C Barnard, P Maciel, J San-Miguel
Natural Hazards and Earth System Sciences 20 (8), 2365-2378, 2020
662020
Mapping combined wildfire and heat stress hazards to improve evidence-based decision making
C Vitolo, C Di Napoli, F Di Giuseppe, HL Cloke, F Pappenberger
Environment international 127, 21-34, 2019
662019
A spatial survey of environmental indicators for Kazakhstan: an examination of current conditions and future needs
A Russell, M Ghalaieny, B Gazdiyeva, S Zhumabayeva, A Kurmanbayeva, ...
International journal of environmental research 12, 735-748, 2018
582018
Using machine learning to predict fire‐ignition occurrences from lightning forecasts
R Coughlan, F Di Giuseppe, C Vitolo, C Barnard, P Lopez, M Drusch
Meteorological applications 28 (1), e1973, 2021
432021
Anticipating cascading effects of extreme precipitation with pathway schemes-Three case studies from Europe
S Schauwecker, E Gascón, S Park, V Ruiz-Villanueva, M Schwarb, ...
Environment international 127, 291-304, 2019
392019
ERA5-based global meteorological wildfire danger maps, Sci. Data, 7, 216
C Vitolo, F Di Giuseppe, C Barnard, R Coughlan, J San-Miguel-Ayanz, ...
342020
A cloud based tool for knowledge exchange on local scale flood risk
ME Wilkinson, E Mackay, PF Quinn, M Stutter, KJ Beven, CJA MacLeod, ...
Journal of Environmental Management 161, 38-50, 2015
282015
Extreme rainfall in the Mediterranean
C De Luca, P Furcolo, F Rossi, P Villani, C Vitolo
Proceedings of the International Workshop on Advances in Statistical …, 2010
272010
An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments
C Prieto, N Le Vine, D Kavetski, F Fenicia, A Scheidegger, C Vitolo
Water Resources Research 58 (3), e2021WR030705, 2022
192022
Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs
C Vitolo, F Di Giuseppe, M D’Andrea
PLOS ONE 13 (1), 2018
192018
ESA-ECMWF Report on recent progress and research directions in machine learning for Earth System observation and prediction
R Schneider, M Bonavita, A Geer, R Arcucci, P Dueben, C Vitolo, ...
npj Climate and Atmospheric Science 5 (1), 51, 2022
182022
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Статьи 1–20