Impact of Variational Data Assimilation for Simulating Tropical Cyclones over Bay of Bengal Using WRF-ARW - Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change - page 234

Table 1: Names of the cyclones along with their period and landfall time, model forecast length, model initialization time and
data density assimilated in the initial conditions

Name of the Model initialized GFS Reso- Density of data used in assimilation in domains 1, 2 (D1, D2)

cyclone date with 96h lution

SYNOP BUOY METAR SHIP SCAT GEOAMV SOUND

forecast (in deg)

(YYYYMMDD)

D1 D2 D1 D2 D1 D2 D1 D2 D1 D2 D1 D2 D1 D2

Fanoos 20051206-10 1×1 271 83 4 NA 46 11 17 11 1724 656 473 165 43 15

Mala 20060425-29 1×1 281 72 19 9 46 12 16 7 1498 408 573 176 51 18

Sidr 20071112-16 0.5×0.5 285 73 18 9 74 12 19 9 2099 533 NA NA 53 18

Nargis 20080428-02 0.5×0.5 304 82 34 13 73 12 25 8 2146 574 3378 1133 50 14

Khaimuk 20081112-16 0.5×0.5 316 96 15 9 77 11 29 14 2206 584 3651 1244 54 18

Nisha 20081124-28 0.5×0.5 326 95 19 9 77 11 23 9 1521 398 3268 1028 52 17

Aila 20090423-27 0.5×0.5 309 86 19 3 75 11 26 14 2708 605 2861 975 49 18

Laila 20100518-22 0.5×0.5 241 71 22 1 69 7 27 9 334 82 3423 1158 37 13

Jal 20101104-08 0.5×0.5 315 101 21 13 78 12 23 12 167 77 2263 752 52 21

Thane 20111226-30 0.5×0.5 336 106 54 23 83 14 36 9 335 126 2122 674 49 17