Ryan
Keeper of San Juan Secrets
1 = 0%There's also a less than 10% chance that I'll ever eat a doughnut for breakfast without regretting it.
2 = 10%
3 or more = 50%
1 = 0%There's also a less than 10% chance that I'll ever eat a doughnut for breakfast without regretting it.
It would seem that the major variable that the runoff prediction models have not been incorporating accurately is the steady increase in air temperature over the past 30 years, and the associated changes in vapor pressure deficit, evapotranspiration, and soil moisture deficit. In the historical record on which the models are based we have had wide fluctuations in the amount and timing of precipitation and thus snow pack, and this was factored in. But air temperature has showed a marked and historically non-analog deviation upward starting in the early 1990s, and has never reverted to anything close to the previous pre-1990s mean. As such, we now need more and more snow each winter to generate what we would have been considered a normal runoff year just three decades ago.One of the narratives (which probably proves to have some truth to it) is that there have been factors other than the snowpack that are now different than in the past affecting the runoff. Said factors were always present in reality (e.g. how dry the soil and vegetation are, how much dry wind blows in the winter, how much dust ends up on the snowpack) but in the past some were only indirectly included in the modeling. That is to say some specific factors just ended up encoded in a mapping from X snowpack leads to Y runoff without the model actually using a measurement of that factor as an input. As long as those factors didn't vary too much, and didn't vary well outside historical climatology, then all is good and your model perhaps has a bit more variance than it would if you had included those factors directly, but won't necessarily have a bias.
Now if one of those factors starts deviating significantly from history (e.g. snowpack often gets lots more dust than in the past) now you are in trouble.