The Project for the Intercomparison of Land-Surface Parameterization Scheme
s (PILPS) aims to improve understanding and modeling of land surface proces
ses. PILPS phase 2(d) uses a set of meteorological and hydrological data sp
anning 18 yr (1966-83) from a grassland catchment at the Valdai water-balan
ce research site in Russia. A suite of stand-alone simulations is performed
by 21 land surface schemes (LSSs) to explore the LSSs' sensitivity to down
ward longwave radiative forcing, timescales of simulated hydrologic variabi
lity, and biases resulting from single-year simulations that use recursive
spinup. These simulations are the first in PILPS to investigate the perform
ance of LSSs at a site with a well-defined seasonal snow cover and frozen s
oil. Considerable model scatter for the control simulations exists. However
, nearly all the LSS scatter in simulated root-zone soil moisture is contai
ned within the spatial variability observed inside the catchment. In additi
on, all models show a considerable sensitivity to longwave forcing for the
simulation of the snowpack, which during the spring melt affects runoff, me
ltwater infiltration, and subsequent evapotranspiration. A greater sensitiv
ity of the ablation, compared to the accumulation, of the winter snowpack t
o the choice of snow parameterization is found. Sensitivity simulations sta
rting at prescribed conditions with no spinup demonstrate that the treatmen
t of frozen soil (moisture) processes can affect the long-term variability
of the models. The single-year recursive runs show large biases, compared t
o the corresponding year of the control run, that can persist through the e
ntire year and underscore the importance of performing multiyear simulation
s.