NASA | Studying the Science of Falling Snow

The video discusses the deployment of sensors in space to measure falling snow, a task more complex than measuring rain due to snow's varied shapes. The GPM core satellite, with its advanced sensors, is expected to provide unprecedented data on snow, enhancing our understanding of snowfall patterns.

What is one of the main challenges in measuring snow compared to rain?

• Snow is less dense than rain.

• Snow is heavier than rain.

• Snow has a variety of shapes.

• Snow falls faster than rain.

Why are space sensors particularly useful for studying snow?

• They can predict snowfall duration.

• They are sensitive to the shapes of snowflakes.

• They are unaffected by weather conditions.

• They can measure temperature changes.

What makes snow measurement more complex than rain measurement?

• Snow is more reflective than rain.

• Snow is less predictable than rain.

• Snow is more affected by wind.

• Snow has a wider range of shapes and forms.

What is the role of the GPM core in snow measurement?

• It measures the temperature of snow.

• It calculates the speed of falling snow.

• It provides more detailed information about falling snow.

• It predicts future snowfall patterns.

How does the GPM core improve our understanding of snow?

• By providing additional frequencies and sensor information.

• By reducing the cost of snow measurement.

• By offering historical data on snow patterns.

• By increasing the speed of data collection.