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Quicklooks of ARM data processed using Cloudnet algorithms
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This page contains links to pages containing quicklooks of some data
from non-Cloudnet sites after processing with Cloudnet algorithms,
specifically the US Atmospheric Radiation
Measurement (ARM) sites in the Southern Great Plains (SGP), the
North Slope of Alaska (NSA), the tropical West Pacific (Darwin, Manus and
Nauru), and the Arm Mobile Facility (AMF) in Niamey, Niger.
Warning: These results are preliminary and likely to change
at short notice. We are working on a few known problems with the data:
- The liquid water path needs to be recalculated using the
accurate radiometer/lidar/model
synergy method, which continually calibrates the coefficients in
clear-sky periods.
- Convective cloud fraction can dominate at mid-levels in the
tropical datasets, but due to retrieval difficulties when there is
rain at the surface, these regions are not well sampled by the
observations. The statistics of the comparisons are likely to give a
misleadingly poor impression of model forecasts. We intend to try
comparing just the large-scale model fields with the observations for
these sites.
- These sites have much more sensitive lidars operating
than the lidar ceilometers used at Chilbolton and Cabuaw; these
provide valuable information on thin high cloud not detected by the
radar, but only when they are not obscured by low-level cloud. There
are a number of algorithmic and statistical issues to resolve before
these instruments can be used routinely, which includes the discrimination
between molecular and aerosol/cloud scattering.
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