The fact that Earth's interior is sorted into layers indicates that

A) Earth was once in a molten state, during which materials became sorted based on density.
B) the rotation of the early Earth acted like a centrifuge which separated materials based on weight.
C) the process of formation from a nebula (by the slamming together of material and planetesimals that stuck together on impact) produces nice, neat layers.
D) nothing can be inferred about such a perplexing level of organization.


A

Environmental & Atmospheric Sciences

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The circulation of the Icelandic low-pressure system, which influences the North Atlantic Oscillation (NAO), is

A) clockwise and inward. B) clockwise and outward. C) counterclockwise and inward. D) counterclockwise and outward.

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How does a salinometer measure salinity?

a. It calculates the salinity by measuring the chlorinity. b. It measures the refractive index of seawater. c. It calculates the salinity based on the density of the seawater. d. It measures the conductivity of seawater. e. It measures the number of salt molecules in a given mass of seawater.

Environmental & Atmospheric Sciences

Which of the following best describes the Pleistocene?

a. A warm, humid period of swamps and forests when dinosaurs roamed Earth b. A most recent climate interval characterized by warm, stable conditions c. A series of four major glacial cycles slowly followed by shorter, warmer interglacials d. A complex record of climate changes characterized by cycles of rapid advance and retreat of glaciers

Environmental & Atmospheric Sciences

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

Environmental & Atmospheric Sciences