Human hurricane forecasting? I'm referring to an article I've read on Ars Technica about the differences in various weather models.
One thing that stood out for me was a mention of  


  Forecast models typically show their skill with three-, four-, and five-day forecasts. For simplicity's sake, we will focus on 120-hour forecasts. At this lead time, the average error of the European model with respect to Irma has been about 175km in its position forecast. The next best forecast is from the hurricane center, which is slightly more than 300km. An automated model, then, has so far beaten human forecasters at the National Hurricane Center (looking at all of this model data) by a wide margin.  


A similar thing about models beating human forecasters was also mention in another article linked in this article and nowhere is there any other explanation for it, so:

Do humans seriously forecast extreme weather?
I get it, that meoteorologists get trained in physics, hydrodynamics etc, but I can't believe that humans try to compete with computers in crunching the numbers on differential equations. Or how else does 'human forecasting' work?
The forecasts issued by the National Hurricane Center are made by people. Those people use every single tool they have at hand. This includes forecasts made by automated tools such as the European Centre for Medium-Range Weather Forecasts (the "European model"). It also includes forecasts made by several other models. The human-generated forecasts account for the skills of those various models, for the ages of the forecasts made by those models, and for data that are not used by those models.

When multiple models more or less agree, the human forecasters use techniques and their judgement to split the difference. There is no splitting the difference when models disagree massively, as currently is the case with Jose. The current forecast (advisory 20A at 0800 AST on 10 September 2017), depicted graphically below, appears to be exactly that made by the ECMRWF.