Regional correction of ocean surface specific humidity derived from satellite sensor data

نویسندگان

  • D. BOURRAS
  • TIMOTHY LIU
چکیده

A method is proposed to increase the accuracy of satellite sensorderived near-surface humidity estimates. The method uses an operational atmospheric circulation model to correct the satellite sensor estimates of humidity from their regional bias. The method was applied to twelve orbits of the Special Sensor Microwave/Imager (SSM/I) selected between 1997 and 1998. The SSM/I-derived humidity estimates were corrected with respect to analyses of the European Centre for Medium-Range Weather Forecasts (ECMWF) model. The SSM/I humidities were compared to observations of the Comprehensive Ocean-Atmosphere Data Set (COADS), before and after correction with respect to the ECMWF products. The results show that the proposed method decreased the rms. error between SSM/I and COADS specific humidity by 20%. Independent application of the method in the context of a field experiment indicated that the deviation between satellite sensor-derived humidity and in situ observations was decreased by 13% if the correction was applied.

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تاریخ انتشار 2003