Scales of soil moisture variations are important for understanding patterns
of climate change, for developing and evaluating land surface models, for
designing surface soil moisture observation networks, and for determining t
he appropriate resolution for satellite-based remote sensing instruments fo
r soil moisture. Here we take advantage of a new archive of in situ soil mo
isture observations from Illinois and Iowa in the United States, and from R
ussia, Mongolia, and China, to evaluate the observed temporal and spatial s
cales of soil moisture variations. We separate the variance into two compon
ents, the very small scale, determined by soils, topography, vegetation, an
d root structure, and the large scale forced by the atmosphere. This larger
scale, determined by precipitation and evaporation patterns, is of interes
t for global climate modeling. We characterize the small scale as white noi
se for our analysis, keeping in mind that it is an important component of s
oil moisture variations for other problems. We find that the atmospheric sp
atial scale for all regions is about 500 km. The atmospheric temporal scale
is about 2 months for the top l-m soil layer. The temporal scale for the t
op 10-cm layer is slightly less than 2 months. The white noise component of
the variance for temporal variations ranges from 50% for the top 10 cm to
20-40% for the top 1 m. For spatial variations the white noise component is
the same for all depths but varies with region from 30% for Illinois to ar
ound 70% for Mongolia. Nevertheless, the red noise (atmospheric component)
can be seen in all regions. These results are for Northern Hemisphere midla
titudes and would not necessarily apply to other latitudes. The results are
based on observations taken from grassland or agricultural areas, and may
not be similar to those of areas with other vegetation types. In China, a r
egion with substantial latitudinal variation, the temporal scale for the to
p 1 m varies from 1 month in the south to 2.5 months in the north, demonstr
ating the control of potential evaporation on the temporal scales. Seasonal
analysis of the scales of soil moisture for Illinois shows that during the
winter the temporal scales are long, though the spatial scales are short.
We suggest that these variations are both attributable to the seasonal cycl
e of potential evaporation.