This modulates the flow of heat from below and hence
controls upper ocean heat content.
Not exact matches
Last week there was a paper by Smith and colleagues in Science that tried to fill in those early years, using a model that initialises the heat content from the
upper ocean — with the idea that the structure of those anomalies
control the «weather» progression over the next few years.
Less well understood by the scientific communities interested in hurricanes — from their basic physics to improved forecasts — and the processes
controlling key physical and biological variables in the
upper ocean, are the details of coupled interactions between tropical cyclones and the
ocean.
b) when used with the HadCM2 - derived surface
control data covariance matrix from the SFZ 2008 data, which I have largely been able to agree to raw data from the HadCM2 AOGCM
control run (which data Dr Forest has confirmed was used for the Forest 2006 main results), the CSF 2005 surface model and observational data produces, irrespective of which
upper air and deep -
ocean dataset is used, a strongly peaked PDF for climate sensitivity, centred close to S = 1, not S = 3 as per Forest 2006.
«The turbulent mixing in thin
ocean surface boundary layers (OSBL), which occupy the
upper 100 m or so of the
ocean,
control the exchange of heat and trace gases between the atmosphere and
ocean.»
It is notable that this feedback is arguably the most difficult to
control due to the period of several decades that would be required to restore the
upper oceans» natural temperature by an Albedo Restoration program lowering the surface air temperature.
During 600 years of the HadCM3,
control integration Ts is highly correlated (correlation R = 0.89) with global annual mean
ocean heat content in the
upper 113 m (H).