. The effect of stochastic surface heat fluxes on the climatology of the seasonal thermocline. . (ncgoliv* f##4bodi) 100 200 300 400 do,. *M Figure Simulated SST variations (without and with feedback effect) and total heat flux at x=0, y=Ly/4. The heat flux time series is subsampled at 5-day intervals and the SST time series are low-passed, usine a quadratic Lanczos filter (cut-off frequency 8 x 10^ Hz J (From Frankignoul and Hasselmann, 1977). in the surface heat flux (Qo), as modified by a random forcing component (Q'), will cause seasonal variability in the mean mixed layer depth (h) an
. The effect of stochastic surface heat fluxes on the climatology of the seasonal thermocline. . (ncgoliv* f##4bodi) 100 200 300 400 do,. *M Figure Simulated SST variations (without and with feedback effect) and total heat flux at x=0, y=Ly/4. The heat flux time series is subsampled at 5-day intervals and the SST time series are low-passed, usine a quadratic Lanczos filter (cut-off frequency 8 x 10^ Hz J (From Frankignoul and Hasselmann, 1977). in the surface heat flux (Qo), as modified by a random forcing component (Q'), will cause seasonal variability in the mean mixed layer depth (h) and in the variance of mixed layer depth (h'"*). Variability in h will in turn modify the mean temperature (T) and the temperature variance (T' ). This study is part of an investigation of increasing complexity: 1) To a constant wind stress, impose a seasonal heating/ cooling (Q0) cycle plus a stochastic heat flux component (Qf); 14
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Keywords: ., bookcentury1900, booksubjectmeteorology, booksubjectoceanography
