Application of Machine Learning Models for Short-term Drought Analysis Based on Streamflow Drought Index
2024, Water Resources Management, doi: 10.1007/s11269-024-03959-w
Daily temperature and sales of energy-using durables
Bonan J., Cattaneo C., D'Adda G., Tavoni M.
2024, Journal of Economic Behavior and Organization, Volume 227 - Article number 106703, doi: 10.1016/j.jebo.2024.106703
Pay all subjects or pay only some? An experiment on decision-making under risk and ambiguity
Aydogan I.; Berger L., Théroude V.
2024, Journal of Economic Psychology, Volume 104 - Article number 102757, doi: 10.1016/j.joep.2024.102757
Gathering users and developers to shape together the next-generation ocean reanalyses: Ocean reanalyses workshop of the European Copernicus Marine Service
Yang C.; Bourdallé-Badie R.; Drevillon M.; Amaya D.; Aouf L.; Aydogdu A.; Barton B.; Bell M.; Boyer T.; Blauw A.; Carton J.; Candela T.; Cossarini G.; Dabrowski T.; de Boisseson E.; de Mora L.; Fablet R.; Forget G.; Fujii Y.; Garric G.; Giunta V.; Salamon P.; Hersbach H.; Juza M.; Le Sommer J.; Martin M.; McAdam R., [...]Nicolì D., Cipollone A., Clementi E., [...]Nascimento Lima L., [...]Miraglio P., et all.
2024, Bulletin of the American Meteorological Society, doi: 10.1175/BAMS-D-24-0034.1
Bringing it all together: Science and modelling priorities to support international climate policy
Jones C. G.; Adloff F.; Booth B.; Cox P.; Eyring V.; Friedlingstein P.; Frieler K.; Hewitt H.; Jeffery H.; Joussaume S.; Koenigk T.; Lawrence B. N.; O'Rourke E.; Roberts M.; Sanderson B.; Séférian R.; Somot S.; Vidale P.-L.; van Vuuren D.; Acosta M.; Bentsen M.; Bernardello R.; Betts R.; Blockley E.; Boé J.; Bracegirdle T.; Braconnot P.; Brovkin V.; Buontempo C.; Doblas-Reyes F. J.; Donat M. G.; Epicoco I., Falloon P.; Fiore S.; Froelicher T.; Fuckar N.; Gidden M.; Goessling H.; Graversen R. G.; Gualdi S., Gutiérrez J. M.; Ilyina T.; Jacob D.; Jones C.; Juckes M.; Kendon E.; Kjellström E.; Knutti R.; Lowe J. A.; Mizielinski M.; Nassisi P., Obersteiner M.; Regnier P.; Roehrig R.; Salas y Melia D.; Schleussner C.-F.; Schulz M.; Scoccimarro E., Terray L.; Thiemann H.; Wood R.; Yang S.; and Zaehle, S.
2024, EGUsphere, doi: 10.5194/egusphere-2024-453
Italian urban tourism predictions using the holiday Climate Index
Mazzarano M., Galluccio G., Borghesi S.
2024, Tourism Economics, doi: 10.1177/13548166241277858
Risk assessment of national railway infrastructure due to sea-level rise: an application of a methodological framework in Italian coastal railways
Ricciardi G., Ellena M., Barbato G., Alcaras E.; Parente C.; Carcasi G.; Zarelli C.; Franciosi A.; Mercogliano P.
2024, Environmental Monitoring and Assessment, Volume 196, Issue 9 - Article number 822, doi: 10.1007/s10661-024-12942-2
The use of DEMs versus DSMs in viewshed analysis
Guo W., Wenz L.; Auffhammer, M.
2024, Proceedings of the National Academy of Sciences of the United States of America, Volume 121, Issue 33, Pages e2409845121, doi: 10.1073/pnas.2409845121
Feasibility of peak temperature targets in light of institutional constraints
Bertram C.; Brutschin E.; Drouet L., Luderer G.; van Ruijven B.; Aleluia Da Silva Reis L., Baptista L.B.; de Boer H.-S.; Cui R.; Daioglou V.; Fosse F.; Fragkiadakis D.; Fricko O.; Fujimori S.; Hultman N.; Iyer G.; Keramidas K.; Krey V.; Kriegler E.; Lamboll R.D.; Mandaroux R.; Rochedo P.; Rogelj J.; Schaeffer R.; Silva D.; Tagomori I.; van Vuuren D.; Vrontisi Z.; Riahi K.
2024, Nature Climate Change, doi: 10.1038/s41558-024-02073-4
Artificial intelligence and Eddy covariance: A review
Lucarini A.; ., Marras S., Sirca C., Spano D.
2024, Science of the Total Environment, Volume 950 - Article number 175406, doi: 10.1016/j.scitotenv.2024.175406