First, I am an economist, so I am out of league here. But I say yes, I believe.
But,
I am more skeptical of the models than any political agenda. The climate is just plain hard to model since everything depends on everything else-ie. more CO2, more water vapor and thus more greenhouse effects but more water vapor mean more cloud cover-a negative feedback effect. Heat transfer in clouds is both vertical and horizontal. There is much we don't know.
Another issue is that the system of differential equations that we ask the computer to follow to search for solutions in our climate models is sensitive to new measurements and new scales, ie. cloud cover and temp over 10 square miles versus 100 square miles. Working with these models is an art form, frustrations that I first experienced years ago in my mathematics training.
And some of the data is very hard to collect over long time periods.
My fear about climate is that although we do not know for certain about the exact nature of feedback effects, we do know 1) there is more CO2 in the atmosphere now than 1200 years ago (380 ppm up from 280ppm and growing) and 2) temperatures from ice cores have shown quick changes in temp of 3-10 F degrees in mere decades in the past. I have no idea of the certainty of some of the ramps in temp in the models, but it certainly seems likely the risk of a big rise is present. But the forecast certainty of these predictions for the next two decades might be very slight.
Note that because the models are difficult to implement doesn't mean that models are useless. It is really the only way to answer a problem with a system where everything depends upon everything else.
As an economist, I also often wonder how we should discount future expected costs. Standard economic theory suggests you pick a discount rate and start plugging in numbers. Newer work I have seen resembles dynamic asset allocation models in finance where the discount rate can get very high if things go bad, in other words, risk premiums and discount rates are endogenously dependent of the state of the world (both good and bad). The dynamic models tend to make the present value of temperature costs higher which in turn begs a higher carbon tax, the only thing that economists know what to do to slow down CO2 (engineers may have much better solutions than taxes).
Last, an economist might do what Nobel winner Chris Sims suggested - simply run a reduced form model of climate to forecast the climate. After all, simple vector autoregressions worked a lot better than complicated formal models of the economy. But I doubt physical scientists would buy off on such a lack of rigor.