Multimodality for rainfall measurement

Hagit Messer

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים


The need for accurate monitoring of rainfall, essential for many fields such as: hydrology, transportation and agriculture, calls for optimal use of all available resources. However, as the existing monitoring equipment is diverse, and different tools provide measurements of different nature, fusing these measurements is a challenging task. At one extreme, rain gauges provide local, direct measurements of the accumulated rainfall, and at the other end, satellite observations provide remote images of clouds, from which rainfall is estimated. In between, weather radar measures reflectivity which is non-linearly related to rainfall. In light of the new opportunities introduced by the use of physical measurements from cellular communication networks for rainfall monitoring, I first review the approaches for fusion of different rainfall direct and indirect measurements, distinguishing it from data assimilation, widely used in meteorology. I will then suggest a unified approach to the problem, combining parametric and non-parametric tools, and will present preliminary results.

שפה מקוריתאנגלית
כותר פרסום המארחLatent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings
עורכיםPetr Tichavsky, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadege Thirion-Moreau
מוציא לאורSpringer Verlag
מספר עמודים11
מסת"ב (מודפס)9783319535463
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2017
פורסם באופן חיצוניכן
אירוע13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017 - Grenoble, צרפת
משך הזמן: 21 פבר׳ 201723 פבר׳ 2017

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך10169 LNCS
ISSN (מודפס)0302-9743
ISSN (אלקטרוני)1611-3349


כנס13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017

הערה ביבליוגרפית

Publisher Copyright:
© Springer International Publishing AG 2017.

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