Problem 91
Question
The table gives the numbers of minutes of daylight occurring at various latitudes in the northern hemisphere at the summer and winter solstices. $$\begin{array}{|c|c|c|}\hline \text { Latitude } & \text { Summer } & \text { Winter } \\\\\hline 0^{\circ} & 720 & 720 \\\\\hline 10^{\circ} & 755 & 685 \\\\\hline 20^{\circ} & 792 & 648 \\\\\hline 30^{\circ} & 836 & 604 \\\\\hline 40^{\circ} & 892 & 548 \\\\\hline 50^{\circ} & 978 & 462 \\\\\hline 60^{\circ} & 1107 & 333 \\\\\hline\end{array}$$ (a) Which of the following equations more accurately predicts the length of day at the summer solstice at latitude \(L ?\) (1) \(D_{1}=6.096 L+685.7\) (2) \(D_{2}=0.00178 L^{3}-0.072 L^{2}+4.37 L+719\) (b) Approximate the length of daylight at \(35^{\circ}\) at the summer solstice.
Step-by-Step Solution
VerifiedKey Concepts
Latitude
Latitude has a significant effect on the amount of daylight received at different times of the year, particularly noticeable during the solstices. This geographical marker includes:
- Near the equator (0° latitude), daylight duration remains almost constant throughout the year.
- Moving northward, the difference between summer and winter daylight becomes more pronounced.
- A high latitude, such as within the Arctic Circle, experiences very long daylight in summer and very short daylight or even polar night in winter.
Summer Solstice
- The Sun appears at its highest point in the sky at noon, providing the greatest amount of daylight.
- Daylight duration increases as one moves higher in latitude from the equator, but eventually hits a maximum.
- Around the Arctic Circle (66.5°), the sun doesn't set for days, experiencing a phenomenon known as the "Midnight Sun."
Winter Solstice
- The Sun reaches its lowest point in the sky at noon in the northern hemisphere.
- Daylight hours are at their minimum with longer and colder nights.
- In high latitudes, like the Arctic Circle, regions may experience no daylight at all, known as "Polar Night."
Polynomial Approximation
- Polynomials can be used to model relationships where data points show a more curved or complex trend.
- The degree of a polynomial is determined by the highest power of the variable; higher degree polynomials can model data with more twists and turns.
- Polynomial interpolation can accurately estimate daylight for latitudes not directly listed in the given data, by considering multiple terms that describe the underlying trend more comprehensively.