Search Results

You are looking at 1 - 7 of 7 items for :

  • Air–Sea Interactions from the Diurnal to the Intraseasonal during the PISTON, MISOBOB, and CAMP2Ex Observational Campaigns in the Tropics x
  • Journal of Physical Oceanography x
  • Refine by Access: All Content x
Clear All
Dipanjan Chaudhuri, Debasis Sengupta, Eric D’Asaro, R. Venkatesan, and M. Ravichandran

warm subsurface ocean temperatures (e.g., Lin et al. 2009 ; Jaimes and Shay 2009 , 2015 ; Yablonsky and Ginis 2013 ; Girishkumar and Ravichandran 2012 ; Lin et al. 2014 ; Balaguru et al. 2018 ). Some recent studies address the interaction between tropical cyclones and the ocean in the presence of a “barrier layer,” that is, a deep, warm isothermal layer lying beneath a shallow, salinity-stratified layer ( Sengupta et al. 2008 ; Balaguru et al. 2012 , 2014 ; Neetu et al. 2012 ; Vincent et

Full access
C. A. Luecke, H. W. Wijesekera, E. Jarosz, D. W. Wang, J. C. Wesson, S. U. P. Jinadasa, H. J. S. Fernando, and W. J. Teague

1. Introduction The southern Bay of Bengal acts as a critical link between the low-salinity northern part of the bay, and the high-salinity water of the Arabian Sea. Freshwater input from rivers and rainfall must be exchanged with high-salinity waters of the Arabian Sea to the south and west in order to maintain basin-scale mixing. Recent studies (e.g., Schott and McCreary 2001 ; Bhat et al. 2001 ; Webster et al. 2002 ; Rao et al. 2011 ; Wijesekera et al. 2016a ; Vinayachandran et al

Restricted access
Kenneth G. Hughes, James N. Moum, and Emily L. Shroyer

waves (e.g., Lueck 2016 ). Recent examples of surface-following platforms include a sailboard adapted to measure salinity profiles in the top meter of the ocean ( Asher et al. 2014 ), a trimaran adapted to measure atmospheric turbulence just above the sea surface ( Bourras et al. 2014 ), and “SWIFT” drifters to measure near-surface turbulence and shear ( Thomson 2012 ; Thomson et al. 2019 ). Like Asher et al. (2014) , our platform is towed so as to sample undisturbed water outside the ship’s wake

Free access
D. A. Cherian, E. L. Shroyer, H. W. Wijesekera, and J. N. Moum

1. Introduction The Bay of Bengal (the Bay) is the eastern semi-enclosed basin of the north Indian Ocean. The shallow salinity-controlled stratification in the upper Bay allows for rapid coupling with the atmosphere, and modulation of sea surface temperature (SST) within the Bay of Bengal has been linked to variations in the South Asian monsoon (e.g., Vecchi and Harrison 2002 ; Roxy 2014 ). The influence of processes controlling upper-ocean stratification thus extends beyond the physical

Free access
Jai Sukhatme, Dipanjan Chaudhuri, Jennifer MacKinnon, S. Shivaprasad, and Debasis Sengupta

16 m marked by purple colored track segment in (a) and by the vertical black lines in (b) and (c). Though the entire leg of the cruise is shown, calculations of spectra are restricted to the portion where the ship followed a straight line. Density stratification is estimated using uCTD data where available (SN88 and SN100), and in the other cases, from monthly temperature and salinity data from the Roemmich–Gilson 1° gridded Argo dataset ( Roemmich and Gilson 2009 ). Specifically, we take a 2

Free access
Kenneth G. Hughes, James N. Moum, and Emily L. Shroyer

profiles of temperature T ( z ), and sometimes salinity and velocity u ( z ). Several idealizations have been proposed for use in either climate models or operational procedures like SST corrections. These include linear T and u ( Fairall et al. 1996 ), T and u ∝ z −1/3 ( Fine et al. 2015 ; Large and Caron 2015 ), and T ∝ e − z with either a wind speed–dependent depth scale ( Gentemann et al. 2009 ) or a depth-dependent phase lag ( Matthews et al. 2014 ). These latter two studies

Free access
Sebastian Essink, Verena Hormann, Luca R. Centurioni, and Amala Mahadevan

-surface circulation of the global ocean and to provide SST and sea level pressure data. These data are important for calibration and validation of satellite-derived SST datasets (e.g., Zhang et al. 2009 ) and for numerical weather prediction ( Centurioni et al. 2017 ; Horányi et al. 2017 ). Drifters were released at the edge of a mesoscale cyclonic eddy and across a strong salinity and density front ( Figs. 1a,b ). With the goal of resolving motions over a wide range of length scales, we deployed drifters such

Full access