Xq. Dong et al., Arctic stratus cloud properties and their effect on the surface radiation budget: Selected cases from FIRE ACE, J GEO RES-A, 106(D14), 2001, pp. 15297-15312
To study Arctic stratus cloud properties and their effect on the surface ra
diation balance during the spring transition season, analyses are performed
using data taken during three cloud and two clear days in May 1998 as part
of the First ISCCP Regional Experiment (FIRE) Arctic Cloud Experiment (ACE
). Radiative transfer models are used in conjunction with surface- and sate
llite-based measurements to retrieve the layer-averaged microphysical and s
hortwave radiative properties. The surface-retrieved cloud properties in Ca
ses 1 and 2 agree well with the in situ and satellite retrievals. Discrepan
cies in Case 3 are due to spatial mismatches between the aircraft and the s
urface measurements in a highly variable cloud field. Also, the vertical st
ructure in the cloud layer is not fully characterized by the aircraft measu
rements. Satellite data are critical for understanding some of the observed
discrepancies. The satellite- derived particle sizes agree well with the c
oincident surface retrievals and with the aircraft data when they were coll
ocated. Optical depths derived from visible-channel data over snow backgrou
nds were overestimated in all three cases, suggesting that methods currentl
y used in satellite cloud climatologies derive optical depths that are too
large. Use of a near-infrared channel with a solar infrared channel to simu
ltaneously derive optical depth and particle size appears to alleviate this
overestimation problem. Further study of the optical depth retrieval is ne
eded. The surface-based radiometer data reveal that the Arctic stratus clou
ds produce a net warming of 20 W m(-2) in the surface layer during the tran
sition season suggesting that these clouds may accelerate the spring time m
elting of the ice pack. This surface warming contrasts with the net cooling
at the top of the atmosphere (TOA) during the same period. An analysis of
the complete FIRE ACE data sets will be valuable for understanding the role
of clouds during the entire melting and refreezing process that occurs ann
ually in the Arctic.