Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution

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Standard Standard

Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution. / Poovadiyil, Salim; Nayak, Rabindra; Swain, D. et al.
In: Journal of the Indian Society of Remote Sensing, Vol. 40, 26.01.2012, p. 679-688.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Poovadiyil, S, Nayak, R, Swain, D & Dadhwal, VK 2012, 'Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution', Journal of the Indian Society of Remote Sensing, vol. 40, pp. 679-688. <http://10.1007/s12524-011-0188-x>

APA

Poovadiyil, S., Nayak, R., Swain, D., & Dadhwal, V. K. (2012). Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution. Journal of the Indian Society of Remote Sensing, 40, 679-688. http://10.1007/s12524-011-0188-x

CBE

Poovadiyil S, Nayak R, Swain D, Dadhwal VK. 2012. Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution. Journal of the Indian Society of Remote Sensing. 40:679-688.

MLA

Poovadiyil, Salim et al. "Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution". Journal of the Indian Society of Remote Sensing. 2012, 40. 679-688.

VancouverVancouver

Poovadiyil S, Nayak R, Swain D, Dadhwal VK. Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution. Journal of the Indian Society of Remote Sensing. 2012 Jan 26;40:679-688.

Author

Poovadiyil, Salim ; Nayak, Rabindra ; Swain, D. et al. / Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution. In: Journal of the Indian Society of Remote Sensing. 2012 ; Vol. 40. pp. 679-688.

RIS

TY - JOUR

T1 - Sea Surface Height Variability in the Tropical Indian Ocean: Steric Contribution

AU - Poovadiyil, Salim

AU - Nayak, Rabindra

AU - Swain, D.

AU - Dadhwal, V. K.

PY - 2012/1/26

Y1 - 2012/1/26

N2 - Variability of Sea level and its steric contribution in the Tropical Indian Ocean (TIO) was studied based on 15 years (1993–2007) satellite altimeter observations of sea surface height (SSH) anomaly and steric height (STH) anomaly computed using temperature and salinity fields obtained from Simple Ocean Data Assimilation (SODA) product. Complex Empirical Orthogonal Function (CEOF) analysis was carried out to decompose variability of SSH and STH into various modes to examine the coherency between them. It is revealed that both the parameters exhibit variability in all the time scales. First three major modes of CEOF corresponds to 90% and 84% of the total variability of SSH and STH respectively. There exists strong coherence between the respective CEOF modes of SSH and STH. The first mode of CEOF contributes around ~50% of the total signal corresponds to the annual cycle exhibit large variability in the western Arabian Sea along the Somali and Arabia Coast, latitudinal strip between 2 and 10°N extending from Somali-coast to the west coast of India, coastal oceans around India, and the south eastern TIO. The second CEOF with 25% of total signal contains mixed signature of intra-seasonal and inter-annual periodicities. This exhibit large amplitude in the central south TIO, western and eastern parts of Equatorial Indian Ocean (EIO). Computed long term linear growth rate of sea level anomaly suggests that increase of sea level varies from small (1–3 mm yr−1) in the north TIO to large (8 mm yr−1) in the south TIO. Further analysis suggests that SSH trend in the south TIO was mostly governed by steric contribution while the variability of SSH trend in the north TIO could be explained partially by the variability in STH.

AB - Variability of Sea level and its steric contribution in the Tropical Indian Ocean (TIO) was studied based on 15 years (1993–2007) satellite altimeter observations of sea surface height (SSH) anomaly and steric height (STH) anomaly computed using temperature and salinity fields obtained from Simple Ocean Data Assimilation (SODA) product. Complex Empirical Orthogonal Function (CEOF) analysis was carried out to decompose variability of SSH and STH into various modes to examine the coherency between them. It is revealed that both the parameters exhibit variability in all the time scales. First three major modes of CEOF corresponds to 90% and 84% of the total variability of SSH and STH respectively. There exists strong coherence between the respective CEOF modes of SSH and STH. The first mode of CEOF contributes around ~50% of the total signal corresponds to the annual cycle exhibit large variability in the western Arabian Sea along the Somali and Arabia Coast, latitudinal strip between 2 and 10°N extending from Somali-coast to the west coast of India, coastal oceans around India, and the south eastern TIO. The second CEOF with 25% of total signal contains mixed signature of intra-seasonal and inter-annual periodicities. This exhibit large amplitude in the central south TIO, western and eastern parts of Equatorial Indian Ocean (EIO). Computed long term linear growth rate of sea level anomaly suggests that increase of sea level varies from small (1–3 mm yr−1) in the north TIO to large (8 mm yr−1) in the south TIO. Further analysis suggests that SSH trend in the south TIO was mostly governed by steric contribution while the variability of SSH trend in the north TIO could be explained partially by the variability in STH.

M3 - Article

VL - 40

SP - 679

EP - 688

JO - Journal of the Indian Society of Remote Sensing

JF - Journal of the Indian Society of Remote Sensing

SN - 0255-660X

ER -