Zhao, C., Xie, S., Klein, S., Protat, A., Shupe, M., McFarlane, S. , Comstock, J., Delanoë, J. , Deng, M., Dunn, M. , Hogan, R. J., Huang, D., Jensen, M. , Mace, G., McCoy, R., O'Connor, E. J., Turner, D. and Wang, Z.
Toward understanding of differences in current cloud retrievals of ARM ground-based measurements.
Journal of Geophysical Research - Atmospheres, 117.
To link to this item DOI: 10.1029/2011JD016792
Accurate observations of cloud microphysical properties are needed for evaluating
and improving the representation of cloud processes in climate models and better estimate
of the Earth radiative budget. However, large differences are found in current cloud
products retrieved from ground-based remote sensing measurements using various retrieval
algorithms. Understanding the differences is an important step to address uncertainties
in the cloud retrievals. In this study, an in-depth analysis of nine existing ground-based
cloud retrievals using ARM remote sensing measurements is carried out. We place
emphasis on boundary layer overcast clouds and high level ice clouds, which are the focus
of many current retrieval development efforts due to their radiative importance and
relatively simple structure. Large systematic discrepancies in cloud microphysical
properties are found in these two types of clouds among the nine cloud retrieval products,
particularly for the cloud liquid and ice particle effective radius. Note that the differences
among some retrieval products are even larger than the prescribed uncertainties reported by
the retrieval algorithm developers. It is shown that most of these large differences have
their roots in the retrieval theoretical bases, assumptions, as well as input and constraint
parameters. This study suggests the need to further validate current retrieval theories and
assumptions and even the development of new retrieval algorithms with more observations
under different cloud regimes.
|Date Deposited:||21 Jun 2012 15:14|
|Last Modified:||19 Feb 2017 07:49|
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