Statistics
Scientific paper
Jan 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994adspr..14..113s&link_type=abstract
Advances in Space Research, Volume 14, Issue 1, p. 113-116.
Statistics
Scientific paper
Currently, global cloud amount estimates from the National Environmental Satellite, Data, and Information Service (NESDIS) experimental cloud remote sensing algorithm, CLAVR (Clouds from AVHRR) - Phase I, are biased towards 50% cloud cover. This is caused by assigning 50% cloud amount to 2×2 global area coverage (GAC) pixel arrays which have been classified as ``mixed''. The classification identifies pixel arrays that are spatially non-uniform in albedo or temperature. To remove this source of bias, a clear-sky radiation data set (CRDS) is produced from ``clear'' pixels located in half degree latitude/longitude grids. Statistics of each channel's radiation measurements are computed over the 9-day repeat cycle of the polar orbiting satellite. The previous 8-day CRDS record is then used to predict the clear-sky radiation values for the current day (9th day) being processed. These are used to reclassify mixed pixels into clear or cloudy categories.
Rao A. V.
Stowe L. L.
Vemury S. K.
No associations
LandOfFree
AVHRR clear-sky radiation data sets at NOAA/NESDIS does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with AVHRR clear-sky radiation data sets at NOAA/NESDIS, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and AVHRR clear-sky radiation data sets at NOAA/NESDIS will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-863774