Abstract:
The ocean surface circulation depends on the local or regional wind regime. Hydrodynamic models
usually apply wind field, ocean currents, as well as temperature and salinity data as initial and
boundaries conditions. Nowadays, there are several datasets available, which can be used for forcing
regional oceanic models. However, accurate wind fields, ocean currents, temperature and salinity
datasets are required, to enable the proper representation of these processes by the model. In this
study, an assessment is made for three different datasets derived from scatterometers (wind),
altimetry (currents) and reanalyzes (wind, currents, temperature and salinity) in the Mozambique
Channel. It is found that, Mozambique Channel is dominated by semiannual and annual wind field
cycles, but on a local scale there is noticeable differences in the magnitude of wind velocity between
the three analyzed datasets. For instance, in the Northern region of the Mozambique Channel the
estimated magnitude of wind stress is higher for CCMP and QSCAT than the ASCAT. In the central
part of Mozambique Channel, the seasonal pattern of the wind stress is similar for CCMP and
ASCAT while QSCAT does not show any seasonal variation, suggesting that CCMP represents better
the wind field in the Mozambique Channel. For the surface current, the analyzed datasets show
strong currents during the winter in the Northern and Southern limits of the Mozambique Channel but
SODA and NCEP underestimate the magnitude of the current, although SODA have a better
representation of the surface circulation than NCEP. The vertical profiles of temperature indicate a
deeper mixed layer during the winter season for all dataset (CARS2009, SODA and NCEP), but
SODA is in agreement with climatology dataset derived from CARS2009. Differences were noted on
salinity vertical profiles between three datasets, mainly within the first 200-meter depth. These
differences found in wind field, currents, temperature and salinity may have implications in numerical
models of oceanic processes.