Wind-wave Climate Projections for the Indian Ocean from Satellite Observations

Bhaskaran, Prasad K.

doi:10.4172/2155-9910.s11-005

Cited by 31 publications

(20 citation statements)

References 9 publications

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“…The studies conducted world over, and typically by Allan and Komar (2000) and Ruggiero, Komar, and Allan (2010), indicate significant increase in magnitudes of the waves globally. Bhaskaran, Gupta, and Dash (2014) and Radhika, Deo, and Latha (2013) confirmed this with respect to the Indian offshore regions.…”

supporting

confidence: 64%

“…The wave rose diagrams further support this observation by indicating that the calm conditions would reduce considerably in future and that the higher wave heights would become stronger and frequent in future. The rise in Hs could be due to corresponding increase in the generating wind as well as changes in its circulation as documented in some past studies at and around the Indian seas (Bhaskaran et al, ; Dobrynin, Murawsky, & Yang, ; Satyavathi, Deo, Kerkar, & Vethamony, ).…”

Section: Resultsmentioning

confidence: 76%

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Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Rajasree

Deo

2018

Land Degrad Dev

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The prediction of coastal sediment transport and rate of change of shorelines into the future are traditionally done by analysis of historical satellite imageries and field observations or by empirical/numerical modeling. The modeling is traditionally done on the basis of historical data. Instead, here, we suggest the use of future conditions impacted by the climate change for this purpose and a procedure based on regional climate models. Further, considering the difficulty at some places to acquire a large amount of data of various parameters to run a numerical model, we propose the use of simple neural network as an alternative. The location studied belongs to the shoreline adjoining the estuary of River Gangavali, along the central west coast of India. Waves were simulated using a numerical wave model for past and future time periods of 36 years each, and a numerical coastal evolution model was run with this input. It was found that in future, the wave activity at this site would intensify along with certain shift in the direction of wave attack. This will push the net and gross sediment transports up by 131.7% and 114.3%, respectively, and also enhance the shoreline change rate. It was noticed that the future shifts in the wave direction could be as influential as those in the wave height and can cause more accretion of the shoreline. The study emphasizes the importance of considering the projected climate over the past one in planning a regional coastal ecosystem.

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supporting

confidence: 64%

Section: Resultsmentioning

confidence: 76%

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Rajasree

Deo

2018

Land Degrad Dev

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“…It used the daily observations from satellite altimeter data for wind and waves from eight satellite missions. Their study (Bhaskaran et al, 2014;Gupta et al, 2015) highlights that the SO belt (40 ∘ -55 ∘ S) experienced the highest variability because of impact from climate change. An increasing trend in both wind and waves were reported over the SO, and the rise is more conspicuous in the current decade.…”

Section: Introductionmentioning

confidence: 98%

“…The zone 1 covered the geographical area over the Arabian Sea, and zone 2 covers the Bay of Bengal in the NIO. Bhaskaran et al (2014) and Gupta et al (2015) investigated the impact of climate change on variability of maximum SWH and wind speeds over the IO basin. It used the daily observations from satellite altimeter data for wind and waves from eight satellite missions.…”

Section: Introductionmentioning

confidence: 99%

Dipole behaviour in maximum significant wave height over the Southern Indian Ocean

Gupta

Bhaskaran

Dash

2017

Intl Journal of Climatology

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The study reports on existence of a dipole pattern in maximum significant wave height (MSWH) as well in mean significant wave height over the Southern Indian Ocean (SIO) based on analysis using 24 years of satellite observations. Analysis using quality checked daily altimeter data from nine satellite missions for entire Indian Ocean region revealed the spatio-temporal variability of observed dipole phenomena. Interestingly, the second empirical orthogonal function (EOF) mode (EOF2) in monthly and monthly anomaly MSWH data clearly shows the prevalence of dipole over the SIO having a period of 6 months for monthly dataset Principal Component (PC) leading to a 3 months oscillation. The EOF of monthly anomaly dataset analysis also exhibited a similar dipole pattern for the EOF2 mode having a period of 2.1 years. In addition, the study also considered seasonal EOF analysis for four austral seasons December-January-February (DJF), March-April-May (MAM), June-July-August (JJA), and September-October-November (SON). The EOF2 for all seasons exhibits a similar dipole pattern in SIO basin, except for the DJF months. Based on seasonal EOF analysis, the DJF and JJA EOF2s have similar dipole pattern that reverses its polarity because of wind variability for the MAM and SON EOF2s justifying 3 months dipole oscillation obtained for monthly datasets. The Radon transform is used to investigate the orientation of this dipole, and for the first time this method is used in the field of climatology to study orientation and the degree of polarity of a dipole pattern. Furthermore, the study investigated possible correlation of dipole with various proven climate indices establishing the fact that Southern Annular Mode Index (SAMI) showed a significant correlation. The other seasonal datasets also correlated well with SAMI, except DJF months that do not show the dipole pattern, and it had a good correlation with Nino3 index representing the El Nino Southern Oscillation Index.

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“…Climatological analysis of the wave fields becomes vital in understanding the long‐term variability and their connection with the climatic modes. There are a few studies in the Indian Ocean which describe the short‐term and long‐term wave characteristics (e.g., Aboobacker et al, ; Samiksha et al, ; Bhaskaran et al, ; Anoop et al, ; Samiksha et al, ; Zheng and Li, ). The wave climate over the North Indian Ocean (NIO) is generally characterized by the swells propagated from the South Indian Ocean (SIO) and the waves generated within the NIO by the SW monsoon, NE monsoon winds and tropical cyclones.…”

Section: Introductionmentioning

confidence: 99%

The climatology of shamals in the Arabian Sea—Part 2: Surface waves

Aboobacker¹,

Shanas²

2018

Intl Journal of Climatology

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The wave conditions in the Arabian Sea are mainly controlled by the SW/NE monsoon winds, the swells from the South Indian Ocean, and to some extent by the regional/local wind systems. The shamal winds are one of the important regional wind systems, which contribute to the wave characteristics in the Arabian Sea considerably. Previous studies explored the existence of shamal swells in the Arabian Sea, based on measurements and modelling during selected shamal events. The present study investigates the climatological features of the shamal waves in the Arabian Sea by analysing ERA-Interim significant wave heights (SWH) for the period 1987-2016. The ERA-Interim SWHs were validated against altimeter observations and available measurements in the Arabian Sea. Monthly and annual climatology of shamal and total waves were derived, the trends were estimated and discussed. The results indicate that the annual and monthly shamal SWHs (mean and 99th percentile) are significantly decreasing in most part of the Arabian Sea, while they are increasing in the Gulf of Oman. Significant increase in the 99th percentile total SWHs were estimated in the central Arabian Sea. The makran windinduced waves were identified in the northern Arabian Sea for the first time.

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Wind-wave Climate Projections for the Indian Ocean from Satellite Observations

Cited by 31 publications

References 9 publications

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Evaluation of estuary shoreline shift in response to climate change: A study from the central west coast of India

Dipole behaviour in maximum significant wave height over the Southern Indian Ocean

The climatology of shamals in the Arabian Sea—Part 2: Surface waves

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