SCI1300 Lecture Notes - Lecture 14: Emissivity
28 Aug 2018
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Why use mathematical models: often the devil is in the detail: System diagrams and qualitative thinking are conceptually useful but numbers are required to get a true sense of the system. The (cid:374)eed for si(cid:373)pli catio(cid:374: there a literally thousands of important processes and interactions in the climate system, many of the climate system components interact, which leads to many calculations that have. Some of them are well understood, others are not! to be performed. Some of the inputs are not fully known, e. g. , soil properties around the earth. Statistical models: based on observations rather than an understanding of the physics, useful (cid:449)he(cid:374) (cid:449)e k(cid:374)o(cid:449) (cid:449)e do(cid:374)"t u(cid:374)de(cid:396)sta(cid:374)d the ph(cid:455)si(cid:272)s (cid:272)o(cid:373)pletel(cid:455) o(cid:396) (cid:272)a(cid:374)"t sol(cid:448)e the (cid:272)o(cid:373)plete physics in a computer, e. g. seasonal prediction, cloud. But often hard to isolate the statistics of one system since, in nature, feedbacks are always operating observations are not always available.
