Jo. Pinto et al., Modeling clouds and radiation for the November 1997 period of SHEBA using a column climate model, J GEO RES-A, 104(D6), 1999, pp. 6661-6678
A column version of the Arctic regional climate system model (ARCSYM) has b
een developed for testing general circulation model parameterizations in th
e Arctic. The ARCSYM column model has been employed for a 23-day period in
November to simulate conditions over a multiyear ice flee that has been the
site of intensive observations as part of the Surface Heat Budget of the A
rctic (SHEBA) project. The large-scale tendencies of temperature, moisture,
and wind are specified with values obtained from a special column data set
obtained from the European Centre for Medium-Range Weather Forecasting. Co
mparisons between the ARCSYM column simulations and SHEBA data reveal that
modeled temperature profiles are too cold aloft and generally too warm in t
he boundary layer. The occurrence of low clouds is severely underpredicted
while the high cloud fraction is over predicted. The modeled longwave radia
tive cooling at the surface is 1.5-3 times as large as that observed. Much
of this bias is related to problems with the treatment of clear-sky radiati
ve transfer and in the simulated cloud optical properties. At the same time
, the magnitude of modeled downward sensible heat flux at the surface is mu
ch too large. This has been related, in part, to the method for scaling tem
perature at the lowest modeled level to its surface air value under conditi
ons of strong static stability. The importance of properly treating longwav
e radiative transfer under extremely cold, clear-sky conditions is evident
in the sensitivity studies. The best simulation of cloud properties was ach
ieved by assuming liquid cloud processes and properties at temperatures abo
ve 255 K. This temperature is significantly colder than that used in many c
limate models. The occurrence of supercooled clouds in the simulation drama
tically reduced longwave cooling at the surface due to increases in the opt
ical depth and fractional coverage of clouds. Results from a coupled sea ic
e-atmosphere simulation reveal that improvements in the atmospheric paramet
erizations are enhanced when the system is coupled.