Abstract

Tropical cyclone (TC) monitoring and forecast in the South West Indian Ocean (SWIO) basin remain challenging, notably because of the lack of direct observations. During the 2018–2019 cyclone season, S-1 Sentinel SAR images were acquired, as part of the ReNovRisk-Cyclone research program, giving access to unprecedented detailed TC wind structure description without wind speed limitation. This paper assesses the quality of these data and the impact of their assimilation for TC forecasts. SAR observations are compared with analyses from a convection-permitting, limited area model AROME OI 3D-Var and with wind products used for operational TC monitoring. Their bias depends on the angle of incidence of the radar and the observation error is larger for extreme wind speed. The impact of SAR assimilation in AROME OI 3D-Var is assessed through two case studies. In the TC GELENA case, it leads to a better TC positioning and an improved representation of inner and outer vortex structures. The TC intensity reduction in the analysis propagates through subsequent analyses and it has an impact on forecasts for around 12 h. In the TC IDAI case, the 3D-Var does not manage to reproduce TC intensity captured by SAR. In both cases, the modification of the initial conditions has little influence on the intensification rate of the model forecasts. Sensitivity tests show that these results are robust to different observation errors and thinning.

Highlights

  • Active SAR sensors, on-board Sentinel-1 (S1) A/B, and on other space missions like RadarSat-2 (RS-2, Canada) and GaoFen-3 (China), are able to observe the surface of the Earth day and night, whatever the weather or environmental conditions

  • During the 2018–2019 cyclone season, as part of the the ReNovRisk-Cyclone component [3,4] of the research program ReNovRisk [5], a few dozen images of tropical cyclones were acquired in the South West Indian Ocean basin (SWIO), several of which captured the eyewall and associated strong winds, making available unprecedented high quality observations on tropical cyclones in the basin

  • We report one significant case where BTMW is significantly stronger than SARMW

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Summary

Introduction

Active SAR (synthetic aperture radar) sensors, on-board Sentinel-1 (S1) A/B, and on other space missions like RadarSat-2 (RS-2, Canada) and GaoFen-3 (China), are able to observe the surface of the Earth day and night, whatever the weather or environmental conditions They allow in particular, from the backscatter signal interaction with the ocean surface roughness, to estimate the surface wind intensity at high spatial resolution (1–3 km), without any saturation for high wind speed, which represents considerable progress with respect to data from advanced scatterometers (ASCAT) [1], that show more limited capacities in terms of intensity and resolution [2]. BT is maintained and updated by the Regional Specialized Meteorological Center (RSMC) la Réunion, which is responsible for monitoring tropical cyclone and issue advisories for countries within the SWIO

SAR Data during the 2018–2019 TC Season in the SWIO
AROME OI 3D-Var
SAR Assessment
Assessment with AROME OI 3D-Var Analyses
Assessment with Best Track Database
Impact on Analyses
Impact on Forecasts
Sensitivity Tests
Findings
Discussion and Conclusions
Full Text
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