Question

the weather forecast for a city is based on an incoming cold front. several called - in reports mentioned rain development, and rain. the next day the temperature dropped sharply, the cloud cover increased, but no rain. why was the forecast not more accurate? (select two reasons)
a. the bulk of data collected weather data are unreliable.
b. atmospheric flows are predictable, but no clear patterns.
c. the interaction of air masses creates too many variables.
d. cold air masses are less predictable than warm air masses.
e. missing an important data set to account for changes in the weather.

Explanation:

To determine why the forecast was more accurate the next day, we analyze each option:

• Option A: Basic weather data being reliable doesn't directly explain why the next - day forecast is more accurate. Weather data is usually reliable, but short - term and long - term forecasts differ for other reasons.
• Option B: Accurate forecasts rely on patterns, but this doesn't explain the difference in accuracy between the initial and next - day forecast.
• Option C: The interaction of weather systems being complex is a general fact about weather, not a reason for the next - day forecast being more accurate.
• Option D: Weather systems have less predictability over longer time frames. The initial forecast was for a longer time (maybe a few days or more), and the next - day forecast is for a shorter time (1 day), so the predictability is higher for the next - day forecast.
• Option E: Making a forecast can't account for changing weather, but this doesn't explain why the next - day forecast is more accurate.

Answer:

D. Weather systems are less predictable over longer time frames