The first EOF mode of low -
frequency precipitation variability over North America is accompanied by a negative NAO mode in SLP (Fig. 6d).
Not exact matches
A decrease in
precipitation frequency translates into even more year - to - year
variability in fresh water resources for the Southwest.
Karl et al. [1995] examined
precipitation records over the 20th century and showed that the high -
frequency (up to interannual)
variability has increased.
These
variability trends indicate that the
frequency of extremes (more drought events and more heavy
precipitation events) has increased whereas the mean has remained approximately the same.
This criterion may not be satisfied if observations are available only over a short time period (as is the case for the vertical structure of clouds), or if the predictor is defined through low -
frequency variability (trends, decadal
variability), or if there is a lack of consistency among available datasets (as in the case for global - mean
precipitation and surface fluxes).
The greater increases in erosion in the GGa1 scenario was attributed to greater
variability in monthly
precipitation and an increased
frequency of large storms in the model simulation.
This finding is consistent with the idea that soils provide a natural low - pass filter (integrator) for
precipitation variability, yielding the low
frequency signals in total water storage.