BENEFITTING FROM MACHINE LEARNING ALGORITHMS AND CONCEPTS FOR CORRECTING SATELLITE RAINFALL PRODUCTS (BETTER RAIN)



Ref.No: 61515000
Start date: 15.09.2022
End date: 14.09.2024
Approval date: 24.08.2022
Department: RURAL & SURVEYING ENGINEERING
Sector: TOPOGRAPHY SCOPE
Financier: 3Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ ΜΕΤΑΔΙΔ. ΕΡΕΥΝΗΤΩΝ, ELIDEK
Budget: 59.616,00 €
Public key: Ω81Ω46ΨΖΣ4-7ΜΖ
Scientific Responsible: Prof. DOULAMIS , GEORGIA PAPAHARALAMPOUS
Email: ndoulam@cs.ntua.gr,papacharalampous.georgia@gmail.com
Description: THIS PROJECT ASPIRES TO PROVIDE A LARGE NUMBER OF NEW PRACTICAL SOLUTIONS AND NEW METHODOLOGIES TO THE SUBJECTS OF (A) SATELLITE PRECIPITATION MEASUREMENT CORRECTION (INCLUDING REMEDIES FOCUSING ON EXTREME PROCESS BEHAVIOURS), AND (B) UNCERTAINTY ASSESS
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