Vinnikov et al. (1996)
Vinnikov, Konstantin Ya., Alan Robock, Nina A. Speranskaya, and
C. Adam Schlosser, 1996: Scales of temporal and spatial
variability of midlatitude
soil moisture. J. Geophys. Res., 101, 7163-7174.
ABSTRACT:
Soil moisture observations from direct gravimetric
measurements in Russia are used to study the relationship between
soil moisture, runoff, and water table depth for catchments with
different vegetation types, and to estimate the spatial and temporal
correlation functions of soil moisture for different soil layers. For
three catchments at Valdai, Russia, one with a grassland, one with
an old forest, and one with a growing forest, the interannual soil
moisture variations are virtually the same at all 3 catchments for the
31-year period, 1960-1990. The runoff is higher for the grassland
than for the old forest, and the water table depth is not as deep.
The runoff and water table for the growing forest vary from
grassland-like during the first decade, when the trees are small, to
old forest-like at the end of the period. The seasonal cycle of soil
moisture is similar at all three catchments, but the snow melt and
summer drying begin a month earlier at the grassland than in the
forests.
A statistical model of both temporal and spatial variations in
soil moisture is developed that partitions the variations into red
noise and white noise components. For flat homogeneous plots, the
white noise component is relatively small and represents solely
random errors of measurement. For natural landscapes with
variable vegetation and soil types, and complicated topography, this
component is responsible for most of the temporal or spatial
variance. The red noise component of temporal variability is in
good agreement with theory. The time scale of this component is
equal to the ratio of field capacity of soil to potential
evatranspiration, approximately 3 months. The red noise
component of spatial variability reflects the statistical properties of
the monthly averaged precipitation field. The scale of spatial
correlation of this component is about 500 km. The estimates of
scales of temporal and spatial correlation do not differ significantly
for water content in the top 20 cm and 1 m layers of soil.
Prepared by Alan Robock (robock@envsci.rutgers.edu ) -
Last updated on April 21, 1999