When using your Vehicle, UVO eServices automatically (or passively), including, through the use of telematics, collects and stores information
about your Vehicle, such as: (i) information
about your Vehicle's operation,
performance and condition, including such things as diagnostic trouble codes, oil life remaining, tire pressure, fuel economy and odometer readings, battery use management information, battery charging history, battery deterioration information, electrical system functions; (ii) driver behavior information, which is information
about how a person drives a Vehicle, such as the actual or approximate speed of your Vehicle, seat belt use, information
about braking habits and information
about collisions involving your Vehicle and which air bags have deployed; (iii) information
about your use of the Vehicle and its features, such as whether you have paired a mobile Device with your Vehicle); (iv) the precise geographic location of your Vehicle; (v) data
about remote services we make available such as remote lock / unlock, start / stop charge, parking location,
climate control, charge schedules, and Vehicle status check; (vi) when there is a request for service made; and (vii) information
about the Vehicle itself (such as the Vehicle identification number (VIN), make,
model,
model year, selling dealer, servicing dealer, date of purchase or lease and service history)(collectively, «Vehicle Information»).
You also ignored the multiple errors you made in claiming that certain effects were not included in
climate models, including one that I referred you to peer - reviewed literature for proof, If I was one of your design reviewers and you'd completely ignored multiple specific and documented criticisms
about your design, I'd go out of my way to make sure that your annual
performance review indicated that you were not meeting my expectations for an engineering intern, never mind an engineer with 46 years of experience.
Various approaches to improve the precision of multi-model projections have been explored, but there is still no agreed strategy for weighting the projections from different
models based on their historical
performance so that there is no direct means of translating quantitative measures of past
performance into confident statements
about fidelity of future
climate projections.
About # 4 and # 10 of the main response to George Will, I think it would be interesting to start a discussion about the real performance of current climate models to «predict the past» (and thus the ability to «project the future&raq
About # 4 and # 10 of the main response to George Will, I think it would be interesting to start a discussion
about the real performance of current climate models to «predict the past» (and thus the ability to «project the future&raq
about the real
performance of current
climate models to «predict the past» (and thus the ability to «project the future»).