References

• Bourras, D., L. Eymard, and W.T. Liu : A neural network to estimate the latent heat flux over oceans from satellite observations. International Journal of Remote Sensing, 23, 2405-2423, 2002a.
• Bourras, D., W. T., Liu, L. Eymard, and W. Tang: Evaluation of Latent Heat Flux Fields from Satellites and Models Over the SEMAPHORE Region. Journal of Applied Meteorology, 42, 227-239, 2003b.
• Bourras, D., G. Reverdin, H. Giordani, and G. Caniaux (2004), Response of the atmospheric boundary layer to a mesoscale oceanic eddy in the northeast Atlantic, J. Geophys. Res., 109, D18114, doi:10.1029/2004JD004799.
• Bourras, D., Comparison of Five Satellite Derived Latent Heat Flux Products to Moored Buoy Data, J. Climate, 2006, accepted.
  

Particular requests/cooperation

• Other time periods (3-day, 5-day, 7-day, or 10-day, for instance) can be made available upon request.
  

• Users who would like to initialize an ocean model with satellite products may find the present flux fields inappropriate, because the SST that is embedded in the LHF formulation should not be used as an input in the ocean model. For this specific need, an intermediate solution can be tried: we can make available the flux algorithm together with the SSM/I gridded TB fields. Next, the user can combine its ocean model SSTs with the gridded TB, which should finally be used for calculating the LHF estimates with the neural network.
  

• Improvement of the neural network algorithm is underway at IPSL/CETP.
  

• We welcome users who want to compare this flux product to existing products. Please let us know if we can help/customize the product.
  

Data sources

• SSM/I level 1b data were obtained from Satellite Active Archive at National Oceanic and Atmospheric Administration (NOAA).
  
• AVHRR and MODIS data were provided by Physical Distributed Active Archive (PO-DAAC) at Jet Propulsion Laboratory
  

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