Question

ocean acidification involves a change in seawater ph primarily caused by increased atmospheric carbon dioxide dissolving into ocean water. one way to predict how rising carbon dioxide levels in the air will affect ocean acidity is to make a computational model. which information is needed to develop a computational model and which would be results? move the information for the model into the boxes. not all information may be used.

data	results

future ocean ph
past / present ocean ph
future ocean temperatures
projected atmospheric temperatures
past atmospheric carbon dioxide levels
projected atmospheric carbon dioxide levels
past / present ocean carbon dioxide levels

Explanation:

To develop a computational model for ocean acidification, we need historical and current data to establish relationships. "Past / present ocean pH", "past atmospheric carbon dioxide levels", "past / present ocean carbon dioxide levels", and "projected atmospheric carbon dioxide levels" are data inputs. "Future ocean pH" and "future ocean temperatures" (if related to acidification impacts) would be results, but from the given, the data for the model should include the past/present measurements and projected CO₂ (to predict future acidification). So the data for the model (to input) are: past / present ocean pH, past atmospheric carbon dioxide levels, past / present ocean carbon dioxide levels, projected atmospheric carbon dioxide levels. The results would be future ocean pH (and maybe future ocean temperatures, but the main result of the model for acidification is future ocean pH). But the question is to move the information for the model (data) into the Data box. So the data needed are the past/present data and projected CO₂ (since we need to know past relationships and project future CO₂ to model future pH).

Answer:

Data	Results