TY - JOUR
T1 - Analysis of cloud characteristics derived from archived satellite data
AU - Hughes, N. A.
AU - Henderson-Sellers, A.
PY - 1983
Y1 - 1983
N2 - The potential for retrieving cloud amount data from satellite-derived radiation budget archives is investigated. A predictive relationship between cloud cover and satellite-derived system albedo is established and used to produce a new oceanic cloud climatology. In view of the spatially and temporally discontinuous nature of cloud data and the diverse requirements of the three major users (i.e. scientists concerned with weather forecasting, environmental remote sensing and climate modelling), the following recommendations are made: (I) Radiance data, not cloud data, should be archived directly from satellite observations. (2) The highest spatial and temporal resolutions available should be retained in the archive. (3) Detailed comparative studies between surface and satellite assessments of cloud climatologies should be undertaken.
AB - The potential for retrieving cloud amount data from satellite-derived radiation budget archives is investigated. A predictive relationship between cloud cover and satellite-derived system albedo is established and used to produce a new oceanic cloud climatology. In view of the spatially and temporally discontinuous nature of cloud data and the diverse requirements of the three major users (i.e. scientists concerned with weather forecasting, environmental remote sensing and climate modelling), the following recommendations are made: (I) Radiance data, not cloud data, should be archived directly from satellite observations. (2) The highest spatial and temporal resolutions available should be retained in the archive. (3) Detailed comparative studies between surface and satellite assessments of cloud climatologies should be undertaken.
UR - http://www.scopus.com/inward/record.url?scp=0020642088&partnerID=8YFLogxK
U2 - 10.1080/01431168308948537
DO - 10.1080/01431168308948537
M3 - Article
VL - 4
SP - 159
EP - 173
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
SN - 0143-1161
IS - 1
ER -