This technique was also very useful in the quality control and evaluation of the data sets used in the inverse model. This could also be used with other data sets at WHOI for this and other purposes. To answer open questions a further improvement of the inverse model is necessary, and one has to better differentiate between different water masses. One possibility is the use of the information from tracer fluxes. Another approach is the implementation of water mass conservation, using the percentages calculated with a multiparameter water mass analysis.
Diapycnal fluxes have to be incorporated more specificaly in the inverse model.
I want to achieve the implementation by using for the inverse model the knowledge on diapycnal fluxes as determined through experiments such as the tracer release experiment. A further improvement also can be obtained by a comparison of the NADW circulation of the inverse model with direct measurements as determined from deep floats. In a further step the deep float measurements can then be incorporated in the inverse model. One possible route could be the calculation of mean transports from the float data using box averages. These mean transports can than be included in the inverse model in a similar way as current meter observations.