Making Climate Models Great Again

Headline: Up in the Sierra, nearly normal snowpack shows drought predictions wrong [bold added]

Tahoe in November (Times Herald)

Before the rains began, the U.S. government’s Drought Monitor classified 81% of California as “abnormally dry.” Forecasting models suggested more of the same was on the way, prompting the experts to soberly predict a long dry spell this winter, possibly veering into drought.

But those experts, with their sophisticated computer models and learned talk, were wrong. The high-pressure patch off the coast broke up in late November and the state has gotten a pretty good pounding of rain and snow ever since.

Remember, these are the same experts who predicted we're all gonna die in 10 years from climate change.

Another benefit of the rain: I won't have to listen to solemn pronouncements from non-scientists that a dry winter is proof of global warming. As a matter of interest, below is California's weather during the "teens":

Year	POTUS	Weather
2019	Trump	Rainy
2018	Trump	Rainy
2017	Trump	Rainy
2016	Obama	Dry
2015	Obama	Dry
2014	Obama	Dry
2013	Obama	Dry
2012	Obama	Dry
2011	Obama	Dry

Source: Wikipedia. After Donald Trump was elected, California had so much rain during the 2016-2017 winter that the Oroville Dam was on the verge of collapse.

If the experts inserted the political affiliation of the President into their computers,
1) the models would have been much more accurate, and
2) they would say that Donald Trump should be re-elected to keep the water flowing.

People who should know better often use two or three data points as evidence to support their position on climate change. I've got nine. The science is settled.