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"Role of Scatterometer Data Assimilation in the simulation of boundary layer flow ..."

Автор: 計算科学eラーニングアーカイブチャンネル

Загружено: 2021-02-19

Просмотров: 109

Описание: ISDA-Online, 5 Feb, 2021
"Role of Scatterometer Data Assimilation in the simulation of boundary layer flow of tropical cyclones"

Real-time prediction of track, intensity and structure of the tropical cyclones is a challenge due to sparse records of atmospheric and oceanic observations. The scatterometer observations of surface winds over the oceanic region found to be very useful; however, these observations are relatively less frequent. Data assimilation helps in generating a reanalysis dataset that can be used for understanding the evolution of tropical cyclones. In this paper, we have created a high-resolution analysis for five tropical cyclones that occurred over the north Indian ocean during 2016-2019. The analysis has been prepared by assimilating in-situ observations, scatterometer winds and satellite radiances. The high-resolution analysis generated using the mesoscale model WRF and En3DVar data assimilation system in a cyclic mode. The validation of track and intensity simulated in the analysis are compared with the IMD best track dataset. Also, model outputs are analyzed for simulation of lower-level convergence, spinup, upper air divergence, the formation of warm core and vorticity development. It is seen that the track and intensity of tropical cyclones simulate well with cyclic mode of data assimilation compared to that of control simulations. The details of the results obtained will be presented at the conference.

Jyoti Bhate 1
Amit Kesarkar 1
Arpita Munshi 1,2
Govindan Kutty 2
Sanjib Deb 3
(1 National Atmospheric Research Laboratory, Department of Space, Govt. of India, Gadanki, Chittoor District, Andhra Pradesh 517112, India)
(2 Indian Institute of Space Technology, Valaimala, Thiruvananthapuram, Kerala 695547, India)
(3 Space Applications Centre, Indian Space Research Organization, Ahmedabad, Gujarat 380015, India)

ISDA-Online
https://isda-online.univie.ac.at/

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