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Abstract: Data Bottlenecks and Algorithmic Lag in AI for Droughts: A Review of 20-Years Worth of Trends (AGU25)

Data Bottlenecks and Algorithmic Lag in AI for Droughts: A Review of 20-Years Worth of Trends

Guido Ascenso1, Matteo Giuliani2, Jorge Pérez-Aracil3, Sancho Salcedo-Sanz3, Gustau Camps-Valls4, Claudi Bertini Dr.5, Paolo Bonetti Dr.6, Nora Linscheid7, Martina Merlo2, Miguel-Ángel Fernández-Torres8, Giulio Palcic9, Markus Reichstein7, Andrea Ficchì6, Andrea Toreti10, Andrea Castelletti9, Marcello Restelli6 and Eliot Walt11, (1)Euro-Mediterranean Center on Climate Change, Naples, Italy, (2)Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Milano, 20133, Italy, (3)University of Alcalá, Department of Signal Processing and Communication, Alcalá de Henares, Spain, (4)Image Processing Laboratory, Universitat de València, Paterna, Spain, (5)UNESCO-IHE Institute for Water Education, Delft, Netherlands, (6)Politecnico di Milano, Department of Electronics, Information and Bioengineering, Milano, Italy, (7)Max Planck Institute for Biogeochemistry, Jena, Germany, (8)Universidad Carlos III, Department of Signal Theory and Communications, Madrid, Spain, (9)Politecnico di Milano, Department of Electronics, Information, and Bioengineering, Milano, Italy, (10)European Commission Joint Research Centre, Ispra Vey, Italy, (11)Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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