NASA Center for Climate Simulation $($NCCS$),$ based at NASA's Goddard Space Flight Center, analyzes the world's climate and creates global climate models demands. NCCS scientists using the center integrate millions of observations collected daily, reanalyze past observations and perform climate model simulations, each of which can produce massive amounts of data. NCCS$\text{'}$s archive system stores about $28$ petabytes of data with a total capacity of $37$ petabytes.

As the center generates and manages increasing quantities of data, it has turned to visualization technologies to help scientists see their research. A recent addition to the center is its Visualization Wall, driven by$16$ Linux$-$based servers. These servers split images across the $17-$by$-6-$foot wall, creating one huge, high$-$resolution medium on which scientists can display still images, videos, numerical quantities and animated contents gathered as data.

Today, NCCS can compute in one day three simulated days in the life of the Earth at one of the highest resolutions attained$$about $3\mathrm{.}5$ km global resolution or about $3\mathrm{.}6$ billion grid cells. The center's future research goal is to generate in one day a computation that covers $365$ days at $1$km global resolution.

Which of the following represents the correct analytical problem for this scenario?

Question $5$ options:

a$)$

Input Data: climate data as images, text, visualization wall, etc.

Problem: The analytical research problem is to upgrade the Linux servers and install a high resolution wall.

b$)$

Input Data: climate data as images, text, visualization wall, etc.

Problem: Perform the simulation of $365$ days in the life of the Earth in one day to model climate.

c$)$

Input Data: Scientists, government, and common people.

Problem: Perform the simulation of $365$ days in the life of the Earth in one day to model climate.

d$)$

Input Data: Scientists, government, and common people.

Problem: The analytical research problem is to switch to cloud providers like Azure or AWS.