Algae ; Dammed lake ; European part of Russia ; Hydrobiology ; Interannualvariability ; Kujbyshev ; Lake ; Lake level ; Phytoplankton ; Seasonal variability
Catastrophe ; Climatic warming ; Damage ; Hurricane ; Interannualvariability ; Precipitation ; Rainstorm ; United States of America ; Vulnerability ; Weather type
Atmospheric circulation ; Correlation ; Drought ; European part of Russia ; Interannualvariability ; Risk ; Spatial distribution ; The 1930's ; The 1990's
-discharge hysteresis patterns were investigated on seasonal event and diurnal timescales. Hysteresis relationships of varying temporal scale were used to examine the role of interannualvariability in catchment and channel snowpack as controls over discharge
of the sensitivity of suspended sediment yield in High Arctic rivers to climate variability and point to the critical role of channel snowpack.
to reconstruct the NAO variability from Iberia. Therefore the AA. assess the usefulness of these tree species for expanding the use of new tree-ring data in multi-proxy reconstructions of the NAO.
Spatial variability of rainfall on a sub-kilometre scale
The main aim of this study was to determine the spatial variability in rainfall depth and maximum intensity, as well as variability of derived parameters within a small test site with 13 measuring stations, in southern Germany. Results
Small-scale variability in surface moisture on a fine-grained beach : implications for modeling aeolian transport
Small-scale variations in surface moisture content were measured on a fine-grained beach using a Delta-T Theta probe. The resulting data set was used to examine the implications of small-scale variability for estimating aeolian transport potential
. Field experiments were conducted at Padre Island National Seashore, Texas. Both very wet and very dry grid data sets exhibited little internal variability in moisture content, while intermediate moisture contents were associated with higher levels
of variability. Cumulative distribution functions were calculated to model the relative proportions of beach surface area expected to be above or below specified threshold moisture levels to allow aeolian transport. Results and discussion about the aeolian
Can development axes be identified by socio-economic variables ? : the case of Czechia
on such a detailed regional level lows for the testing of several hypotheses, for which traditional regional analyses based on NUTS II - NUTS III data were insufficient. To address these hypotheses, we analyze a set of socioeconomic variables with the help
Prediction of soil depth using environmental variables in an anthropogenic landscape, a case study in the Western Ghats of Kerala, India
the environmental covariates elevation, slope, aspect, curvature, wetness index, land use and distance from streams, proved to be the best predictor of soil depth. This model explains 52% of the variability of soil depth in the catchment; with a prediction variance
of 0.05 to 0.19. A Gaussian simulation was attempted for a more realistic visualization of the depth, as opposed to the smooth kriging prediction. The most important explanatory variable of soil depth in this landscape is land use, as expected from