NDLI: QuikSCAT scatterometer wind data impact on tropical cyclone forecasts by a mesoscale model

Content Provider	MAUSAM
Author	Rambabu, Commander G.
Copyright Year	2006
Abstract	This study describes the positive impact of QuikSCAT Scatterometer data on tropical cyclone analyses and forecasts using a Mesoscale Model (MM5). QuikSCAT data is especially valuable because they are available in the data sparse genesis regions of tropical cyclones, and because they are available in cloudy and rainy conditions. The model used in the study, MM5 is known as fifth generation NCAR/Penn State Mesoscale model (MM5). In order to understand and investigate the impact of QuikSCAT Scatterometer wind data, simulation with and without assimilation of scatterometer data has been performed for a few tropical cyclone cases during the period 1999 to 2003. For a cyclonic situation, data of few ships of opportunity and of some coastal or island stations are only available. For the assimilation of observed data into MM5, a few passes of QuikSCAT at different times are available. These additional data strengthen the initial data for assimilation. The results showed that the initial field with the inclusion of scatterometer data was nearer to the actual situation. In the prediction experiment, it was also shown that the inclusion of satellite data improved the prediction up to 48 hrs.
Ending Page	150
Page Count	10
Starting Page	141
File Format	PDF
ISSN	02529416
DOI	10.54302/mausam.v57i1.463
Alternate Webpage(s)	https://mausamjournal.imd.gov.in/index.php/MAUSAM/article/view/463
Journal	MAUSAM
Issue Number	1
Volume Number	57
Language	English
Publisher Date	2006-01-02
Access Restriction	Open
Rights License	Copyright (c) 2021 MAUSAM
Subject Keyword	Mesoscale Model (mm5) Quikscat National Centre for Environmental Prediction (ncep) Newtonian Relaxation Four Dimensional Data Assimilation (fdda) Meteosat Imageries Special Sensor Microwave Imager (ssm/i)
Content Type	Text
Resource Type	Article
Subject	Geophysics Atmospheric Science

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