The development of new microwave sensors to measure oceanic surface parameters from satellites will provide information applicable to studies of variations in upper ocean heat storage. An algorithm was developed to use satellite-derived values of sea-surface temperature and surface wind speeds to predict changes in subsurface heat storage. The algorithm, which is based on a one-dimensional model of the upper ocean, is used to determine the effect of inherent limitations of satellite data, such as discontinuous coverage and errors in the derived fields. Errors in the temperature field become more important as the surface mixed-layer deepens, and accurate specification of the temperature field appears to be more important than accurate specification of the wind field. However, it is important to obtain information about high wind speed events when they occur. The technique, which also provides information on the total heat flux into the ocean between successive satellite passes, could be improved by obtaining information from more than one satellite and from multiple sensors.
All Science Journal Classification (ASJC) codes
- Soil Science
- Computers in Earth Sciences