Irrespective of these shortcomings, our results have demonstrated that even a zero - dimensional 1st order linear Markov model driven by
observed precipitation variability could generate skillful forecasts by initializing the observed soil water.
Not exact matches
In part because of large intrinsic
variability, no evidence was found for changes in extreme
precipitation attributable to climate change in the available
observed record.»
Before we accept AGW there is a lot more work to be done to exclude natural
variability as the explanation for the
observed changes in temperature and
precipitation.
The impacts of climate change on freshwater systems and their management are mainly due to the
observed and projected increases in temperature, sea level and
precipitation variability (very high confidence).
Rigorous analyses have shown that natural
variability alone can not explain the
observed long - term trends of changing extremes in temperature and
precipitation.12
GCMs underestimate the
observed variability (expressed by the standard deviation for temperature and the coefficient of variation for
precipitation) in 73 % of cases for temperature and 90 % for
precipitation (Fig. 6), and the
observed Hurst coefficient in 75 % of cases for temperature and 83 % for
precipitation (Fig. 7).
«We show that anthropogenic forcing has had a detectable influence on
observed changes in average
precipitation within latitudinal bands, and that these changes can not be explained by internal climate
variability or natural forcing.
Variables explaining a significant component of yield variance are nitrogen, irrigation water, and
precipitation; temperature was a less significant component of yield variation within the range of
observed year - to - year
variability at the study sites.