Impact of atmospheric submonthly oscillations on sea surface temperature of the tropical Indian Ocean

Han, Weiqing; Liu, W. Timothy

doi:10.1029/2005gl025082

Cited by 33 publications

(33 citation statements)

References 27 publications

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“…The peaks of the cooling episodes typically lag the . This is in agreement with a recent study of Han et al [2006] who have shown that the atmospheric intraseasonal oscillations can cause significant changes in SST on time scale of 10-30 days in the equatorial Indian Ocean.…”

Section: Mechanisms Of Cooling Episodes On Intraseasonal Time Scalesupporting

confidence: 94%

Observed intraseasonal variability of mini‐cold pool off the southern tip of India and its intrusion into the south central Bay of Bengal during summer monsoon season

Rao

Girishkumar

Ravichandran

et al. 2006

Geophysical Research Letters

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The observed evolution of a mini‐cold pool (MCP) off the southern tip of India (STI) and its intrusion into the south central Bay of Bengal (BoB) during the summer monsoon season shows pronounced cooling episodes on intraseasonal time scale with differences in their number, intensity, duration and spatial extent. This variability that changes from year to year appears to be primarily determined by the corresponding variability in the upwelling driven by the divergence in the near‐surface (Ekman + geostrophic) circulation and wind induced mixing. The signature of this cooling carried by the Summer Monsoon Current (SMC) is seen with reduction in intensity in the south central BoB limited mostly only to south of about 10°N. In the background of slow cooling caused by SMC, the cooling episodes of different amplitudes occur in the south central BoB suggesting that spatially variable wind forcing is responsible for producing these episodes simultaneously on intraseasonal time scale.

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Section: Mechanisms Of Cooling Episodes On Intraseasonal Time Scalesupporting

confidence: 94%

Observed intraseasonal variability of mini‐cold pool off the southern tip of India and its intrusion into the south central Bay of Bengal during summer monsoon season

Rao

Girishkumar

Ravichandran

et al. 2006

Geophysical Research Letters

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“…12b, the effects of winds dominate the SST variability, whereas the heat flux induced by the MJO can affect the amplitude of SST variability slightly. The dominant role of winds on SST is similar to the case in the Indian Ocean (Han et al 2007). …”

Section: B Ocean Circulation Response To Mjomentioning

confidence: 52%

“…It is characterized by atmospheric circulation and moist convection anomalies that propagate eastward from the Indian Ocean to the western Pacific. The MJO can influence rainfall in many regions, modulating the weather systems and interacting with the ocean (Jones et al 1998;Maloney and Hartmann 2000;Morita et al 2006;Han et al 2006Han et al , 2007Huang et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Impacts of the Madden–Julian Oscillation on the Summer South China Sea Ocean Circulation and Temperature

Wang

Zheng

et al. 2013

Journal of Climate

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The present study investigates the impact of the Madden-Julian oscillation (MJO) on the South China Sea (SCS) in summer with three types of models: a theoretical Sverdrup model, a 1.5-layer reduced gravity model, and a regional ocean model [Regional Ocean Modeling System (ROMS)]. Results show that the ocean circulation in the SCS has an intraseasonal oscillation responding to the MJO. During its westerly phase, the MJO produces positive (negative) wind stress curl over the northern (southern) SCS and thus induces an enhanced cyclonic (anticyclonic) circulation in the northern (southern) SCS. This not only cools sea surface temperature (SST) but also decreases (increases) subsurface temperature in the northern (southern) SCS. During its easterly phase, the MJO basically produces a reversed but weaker influence on SCS ocean circulation and temperature. Thus, the MJO can have an imprint on the summer climatology of SCS circulation and temperature. The authors' analysis further indicates that the MJO's dynamic effect associated with wind is generally more important than its thermodynamic effect in modulating the regional ocean circulation and temperature. The present study suggests that the MJO is important for summer ocean circulation and temperature in the SCS.

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“…More specific ISOs are identified to have a large influence on the Asian summer monsoon (e.g. Sikka and Gadgil 1980, Yasunari 1981, Krishnamurti and Subramanyam 1982, Webster 1983, Wang and Xie 1997, Lawrence and Webster 2002, Webster and Hoyos 2004, the Indian Ocean dipole (Han et al 2006, Chowdary and Gnanaseelan 2007, Thompson et al 2009) and ENSO (McPhaden 1999, Moore and Kleeman 1999, Takayabu et al 1999, Kessler and Kleeman 2000, Kiladis and Straub 2001.…”

Section: Intraseasonal Variability In Avhrr and Amsr-avhrr Sstmentioning

confidence: 99%

“…The microwave data depends also on emissivity and therefore on surface roughness and sea state. The importance of daily SST over the tropical Indian Ocean is now being increasingly recognized , Chongyin et al 2005, Han et al 2006. In this article, the emphasis is on analysis of the daily SST product, which has been made available recently at the National Oceanic and Atmospheric Administration (NOAA) as described by Reynolds et al (2007) over the tropical Indian Ocean.…”

Section: Introductionmentioning

confidence: 99%

Intraseasonal signals in the daily high resolution blended Reynolds sea surface temperature product over the tropical Indian Ocean and their validation

Vaid

Gnanaseelan

Jayakumar

2011

International Journal of Remote Sensing

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National Oceanic and Atmospheric Administration daily sea surface temperature (SST) products based on Advanced Microwave Scanning Radiometer (AMSR) and Advanced Very High Resolution Radiometer (AVHRR) have been used to understand the variability in the tropical Indian Ocean SST. These products are comparable with the deep sea moored buoy observations and the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) SST in the tropical Indian Ocean. However considerable difference is noticed between these satellite SST products and deep sea buoys, especially at the intraseasonal time scale. Further the first Complex Empirical Orthogonal Function (CEOF) mode of TMI and AVHRR SST explains respectively 46.49% and 46.19% of the total variance. The second CEOF mode of TMI and AVHRR SST explains respectively 23.19% and 18.94% of the total SST variance in the tropical Indian Ocean. The AVHRR SST product is important because this daily product has been available since 1985. The analysis shows that AMSR measurements are contributing considerably to the understanding of the tropical Indian Ocean SST variability. Though satellite SST products are able to capture the observed intraseasonal variability reasonably well, more accurate satellite SST products are therefore necessary to understand the climatologically important Indian Ocean region and its air-sea interaction processes.

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Impact of atmospheric submonthly oscillations on sea surface temperature of the tropical Indian Ocean

Cited by 33 publications

References 27 publications

Observed intraseasonal variability of mini‐cold pool off the southern tip of India and its intrusion into the south central Bay of Bengal during summer monsoon season

Observed intraseasonal variability of mini‐cold pool off the southern tip of India and its intrusion into the south central Bay of Bengal during summer monsoon season

Impacts of the Madden–Julian Oscillation on the Summer South China Sea Ocean Circulation and Temperature

Intraseasonal signals in the daily high resolution blended Reynolds sea surface temperature product over the tropical Indian Ocean and their validation

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