Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale

Georgia Papacharalampous1,*, Hristos Tyralis2,3, Ilias G. Pechlivanidis4, Salvatore Grimaldi5,6, and Elena Volpi1 1 Department of Engineering, Roma Tre University, Via V. Volterra 62, 00146 Rome, Italy 2 Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou 5, 15780 Zographou, Greece 3 Hellenic Air Force General Staff, Hellenic Air Force, Mesogion Avenue 227–231, 15561 Cholargos, Greece 4 Swedish Meteorological and Hydrological Institute, 60176 Norrköping, Sweden 5 Department for Innovation in Biological, Agro‐food and Forest Systems, University of Tuscia, Viterbo, Italy 6 Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 10003, USA * Correspondence: papacharalampous.georgia@gmail.com, tel: +30 69474 98589