An assessment of two different satellite‐derived precipitation products in relation to simulation of sea surface salinity in the tropical Indian Ocean

Sharma, Rashmi; Vachharajani, Bhasha; Agarwal, Neeraj; Kumar, Raj; Basu, Samik

doi:10.1029/2012jc008078

Cited by 11 publications

(8 citation statements)

References 30 publications

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“…One way is to replace the numerical weather prediction (NWP) model generated precipitation with more realistic satellite-derived precipitation [Sharma et al, 2012]. One way is to replace the numerical weather prediction (NWP) model generated precipitation with more realistic satellite-derived precipitation [Sharma et al, 2012].…”

Section: Introductionmentioning

confidence: 99%

“…In the Indian Ocean, there is an independently coupled ocean-atmosphere mode, known as Indian Ocean Dipole or IOD in short [Saji et al, 1999]. SSS plays a crucial role in this coupling [Thompson et al, 2006;Sharma et al, 2007Sharma et al, , 2012. Further, it has been shown that SSS in the southeastern Arabian Sea (SEAS) is intimately linked with the onset of summer monsoon [Masson et al, 2005].…”

Section: Introductionmentioning

confidence: 99%

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Joint assimilation of Aquarius‐derived sea surface salinity and AVHRR‐derived sea surface temperature in an ocean general circulation model using SEEK filter: Implication for mixed layer depth and barrier layer thickness

et al. 2015

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Sea surface salinity (SSS) from Aquarius mission and sea surface temperature (SST) from Advanced Very High Resolution Radiometer (AVHRR) for the years 2012–2014 are assimilated into the global Massachusetts Institute of Technology General Circulation Model (MITGCM). Investigation of the impact of assimilation of these two data sets on simulated mixed layer depth (MLD) and barrier layer thickness (BLT) forms the core of our study. The method of assimilation is the Singular Evolutive Extended Kalman (SEEK) filter. Several assimilation runs are performed. Single‐parameter assimilation, as well as joint assimilation, is conducted. To begin with, the model simulated SST and SSS are compared with independent Argo observations of these two parameters. Use of latitudinally varying error variances, which is a novel feature of our study, gives rise to the significant improvement in the simulation of SSS and SST. The best result occurs when joint assimilation is performed. Afterward, simulated MLD and BLT are compared with the same parameters derived from Argo observations forming an independent validation data set. Comparisons are performed both in temporal and spatial domains. Significant positive impact of assimilation is found in all the cases studied, and joint assimilation is found to outperform single‐parameter assimilation in each of the cases considered. It is found that simulations of MLD and BLT improve up to 24% and 29%, respectively, when a joint assimilation of SSS and SST is carried out.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint assimilation of Aquarius‐derived sea surface salinity and AVHRR‐derived sea surface temperature in an ocean general circulation model using SEEK filter: Implication for mixed layer depth and barrier layer thickness

et al. 2015

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“…As clear from the title of our study and also from what has been stated in the Introduction, the major aim of our study is the assessment of the impact of precipitation on SST and sea level, since a thorough study of the impact of satellite-derived precipitation on SSS has been conducted earlier (Sharma et al 2012). Moreover, because of the availability of satellite-derived SSS from Aquarius over large areas of global oceans, it is interesting to see how the model forced by satellite-derived precipitation is performing in terms of SSS simulation.…”

Section: Comparison Of Precipitation Forcings and Simulated Sss With mentioning

confidence: 98%

“…Hence, it is imperative to study the impact of satellite-derived products on ocean general circulation models (OGCMs). Very recently such an impact study has been carried out using an OGCM (Sharma et al 2012), but the analysis was restricted to the tropical Indian Ocean only and the emphasis was only on SSS variability.…”

Section: Introductionmentioning

confidence: 99%

Response of simulated sea surface temperature and sea level to satellite-derived precipitation

Chakraborty

Sharma

Kumar

et al. 2015

Remote Sensing Letters

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An ocean general circulation model has been used to investigate the response of simulated sea surface temperature (SST) and sea level to satellite-derived precipitation. For this, the precipitation forcing of the control run, obtained from the National Center for Environmental Prediction (NCEP), has been replaced by precipitation derived by the Special Sensor Microwave Imager. The simulations have been compared with observations from tropical moored buoys and satellites, and the comparison statistics clearly shows that the satellite product outperforms the NCEP product. Although the impact of rainfall on SST is significant, there are regions where the SST is rather insensitive to the rainfall. In those regions advective effects come into play for cancelling the rainfall impact. Moreover, the impact on sea level is not as marginal as seems to have been suggested earlier. Finally, rainfall has been found to leave its signature on surface currents also.

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“…Unfortunately, however, this remains still an elusive goal primarily because of the imperfect knowledge of the evaporation minus precipitation (E-P) budget [Durand et al, 2002]. Although it has been shown recently [Sharma et al, 2012] that satellite-derived precipitation is better suited than numerical weather prediction (NWP) model generated precipitation for obtaining more realistic SSS simulation, the simulated SSS has not yet reached the desired level of accuracy. Other makeshift solution is, of course inclusion of ad hoc correction term in the model equation for salinity [Durand et al, 2003].…”

Section: Introductionmentioning

confidence: 99%

A SEEK filter assimilation of sea surface salinity from Aquarius in an OGCM: Implication for surface dynamics and thermohaline structure

et al. 2014

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Singular Evolutive Extended Kalman (SEEK) filter has been used to assimilate Aquarius-derived sea surface salinity (SSS) in a near-global ocean general circulation model (OGCM). Advanced Very High Resolution Radiometer (AVHRR)-derived sea surface temperature (SST) has also been assimilated in conjunction. The primary aim of the study is to investigate the improvement in simulation of global ocean surface currents as a result of this assimilation. The route of empirical orthogonal function (EOF) analysis has been taken for an efficient assessment of this impact separately in the space and time domains and satellitederived surface current has been used as a benchmark. As expected, the assimilation has been found to impart significant positive impact in both the domains. Also, joint assimilation of SSS and SST has been found to be better than standalone SSS assimilation. These results have been further corroborated by a comparison with buoy-derived surface currents. Further emphasis has been laid on the simulation of Wyrtki and monsoon jets in the equatorial Indian Ocean, because of their importance in the climate of this region and again it has been found that assimilation guides the simulation toward realism in both the cases. Finally, impact on the SSS and SST fronts and their zonal displacements in the western Pacific has been investigated and here again the assimilation has led to an improvement in simulation of these features.

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An assessment of two different satellite‐derived precipitation products in relation to simulation of sea surface salinity in the tropical Indian Ocean

Cited by 11 publications

References 30 publications

Joint assimilation of Aquarius‐derived sea surface salinity and AVHRR‐derived sea surface temperature in an ocean general circulation model using SEEK filter: Implication for mixed layer depth and barrier layer thickness

Joint assimilation of Aquarius‐derived sea surface salinity and AVHRR‐derived sea surface temperature in an ocean general circulation model using SEEK filter: Implication for mixed layer depth and barrier layer thickness

Response of simulated sea surface temperature and sea level to satellite-derived precipitation

A SEEK filter assimilation of sea surface salinity from Aquarius in an OGCM: Implication for surface dynamics and thermohaline structure

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