Implementation of altimeter data assimilation on a regional wave forecasting system and its impact on wave and swell surge forecast in the Indian Ocean

OCEAN ENGINEERING

卷:237

Article

Seemanth, M.¹  Remya, P. G.²  Bhowmick, Suchandra Aich¹  Sharma, Rashmi³  Nair, T. M. Balakrishnan⁴  Kumar, Raj^5,6  Chakraborty, Arun⁷ 

[1] Atmospher & Ocean Sci Grp, Ocean Sci Div, Space Applicat Ctr ISRO, Ahmadabad, Gujarat, India

[2] Indian Natl Ctr Ocean Informat Serv INCOIS, Appl Res & Res Operat ARO Div, Hyderabad, India

[3] Atmospher & Ocean Sci Grp, Space Applicat Ctr ISRO, Ahmadabad, Gujarat, India

[4] Indian Natl Ctr Ocean Information Serv INCOIS, Operat Ocean Serv Appl Res OSAR Grp, Hyderabad, India

[5] Space Applicat Ctr ISRO, Earth Ocean Atmosphere Planetary Sci & Applicat A, Ahmadabad, Gujarat, India

[6] Presently Natl Remote Sensing Ctr NRSC, ISRO, Hyderabad, India

[7] Indian Inst Technol, Ctr Oceans Rivers Atmosphere & Land Sci CORAL, Kharagpur, W Bengal, India

关键词: Data assimilation;    Altimeter;    Wave forecast;    Optimal interpolation;    Indian ocean;    Kallakkadal;   

DOI  :  10.1016/j.oceaneng.2021.109585

来源: Elsevier

【 摘 要 】

In the present work, we have operationally implemented a data assimilation (DA) scheme in the wave forecasting system at the Indian operational agency, Indian National Centre for Ocean Information Services (INCOIS). Significant Wave Height (SWH) measurements from the SARAL/AltiKa, Jason-2 and Jason-3 altimeters were assimilated using the Optimal Interpolation technique. The impact of altimeter DA towards improving the reliability of wave predictions in the Indian Ocean is evaluated by validating the forecasted wave parameters with buoy observations. The assimilation of altimeter data showed considerable improvement in the wave predictions. SWH forecast in the northern Indian Ocean region improved up to similar to 15 % in the first 24 h period. The improvement in forecasted wave parameters were due to the correction in swell forecast, which persists throughout the forecast period. For wind-sea forecast, impact of DA was less visible (similar to 4-6% improvement up to forecast lead time of 24 h), as it is primarily driven by local wind fields. The positive impact of DA on the swell forecast is further established considering a swell surge event, named Kallakkadal.

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