Abstract

The international research program “ReNovRisk-CYCLONE” (RNR-CYC, 2017–2021) directly involves 20 partners from 5 countries of the south-west Indian-Ocean. It aims at improving the observation and modelling of tropical cyclones in the south-west Indian Ocean, as well as to foster regional cooperation and improve public policies adapted to present and future tropical cyclones risk in this cyclonic basin. This paper describes the structure and main objectives of this ambitious research project, with emphasis on its observing components, which allowed integrating numbers of innovative atmospheric and oceanic observations (sea-turtle borne and seismic data, unmanned airborne system, ocean gliders), as well as combining standard and original methods (radiosoundings and global navigation satellite system (GNSS) atmospheric soundings, seismic and in-situ swell sampling, drone and satellite imaging) to support research on tropical cyclones from the local to the basin-scale.

Highlights

  • Due to their highly destructive potential, tropical cyclones (TCs) have long been considered a major risk for populations, territorial economies, and biodiversity

  • The latter are bordered by coral reefs that can serve as a defense One of thaegmainaisnt floobojedcitnivge.sTohfeRseNrRe-eCf YsyCstiesmtos,apsasertsiscuthlaerilmy fprainctgionfgtrroepeficsa, lpcroytceloctntehse coastline by on land, incluadcitnigngpaosssliobwle-psuasbsmfielrtseirosnthraetsucaltninrgedfruocme tchyecleonneircgsywoefllwsauvregefloawlosngrecaocahsitn-g the coast by lines

  • Its mesoscale modelling and climate components, presented in more detail in the companion paper [33], allowed for the development of innovative modelling systems, while its outreach component significantly increased regional collaboration between SWIO countries affected by TC hazards

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Summary

Introduction

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SSttrruuccttuurree aanndd OObbjjeeccttiives of RNR-CYC
Modelling Component
Climate Component
Regional Cooperation
Oceanic Observations
Ground-Based Swell Observations
UAS Observations
GNSS Observations
Conclusions and Perspectives
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