Computer Science – Performance
Scientific paper
Apr 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3608804s&link_type=abstract
Geophysical Research Letters, Volume 36, Issue 8, CiteID L08804
Computer Science
Performance
4
Global Change: Atmosphere (0315, 0325), Atmospheric Processes: Data Assimilation, Atmospheric Processes: Remote Sensing, Planetary Sciences: Fluid Planets: Meteorology (3346)
Scientific paper
A fast radiative transfer model (RTM) to compute emitted infrared radiances for a very high resolution radiometer (VHRR), onboard the operational Indian geostationary satellite Kalpana has been developed and verified. This work is a step towards the assimilation of Kalpana water vapor (WV) radiances into numerical weather prediction models. The fast RTM uses a regression-based approach to parameterize channel-specific convolved level to space transmittances. A comparison between the fast RTM and the line-by-line RTM demonstrated that the fast RTM can simulate line-by-line radiances for the Kalpana WV channel to an accuracy better than the instrument noise, while offering more rapid radiance calculations. A comparison of clear sky radiances of the Kalpana WV channel with the ECMWF model first guess radiances is also presented, aiming to demonstrate the fast RTM performance with the real observations. In order to assimilate the radiances from Kalpana, a simple scheme for bias correction has been suggested.
Brugge Roger
Migliorini Stefano
O'Neill Alan
Rayer Peter
Saunders Roger
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