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Meter per Square Second to Gal (Galileo)

Convert meter per square second to gal (galileo) instantly. Type in either field — results update live.

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Acceleration Meter per Square Second Gal (Galileo)

1 meter per square second = 100 Gal

Unit
Unit
Format

Conversion table

Selected m/s² values converted to Gal using the exact factor from this tool.

m/s² Gal
0.01 1
0.1 10
1 100
2 200
3 300
5 500
10 1,000
20 2,000
50 5,000
100 10,000
1,000 100,000

How to convert

Exact conversion factors in both directions, plus a worked example.

1 m/s² = 100 gal (galileo)

1 gal (galileo) = 0.01 m/s²

To convert meter per square second to gal (galileo), multiply by 100.

To convert gal (galileo) to meter per square second, multiply by 0.01.

Example: convert 10 m/s² to gal (galileo)

10 × 100 = 1000 gal (galileo)

About these units

Short background on the units used in this conversion.

Meter per Square Second (m/s²)

The meter per square second (m/s²) is the SI unit of acceleration — how quickly velocity changes, in meters per second every second.

Meters per square second appear in physics problems, vehicle crash testing, and ISO engineering specifications worldwide.

Gal (Galileo)

The gal (Gal) equals 0.01 m/s² — one centimeter per square second, named after Galileo Galilei in geophysics.

Gal units report ground motion in seismology and gravimetry where tiny acceleration changes matter.

Frequently asked questions

How many Gal are in one meter per square second?
One meter per square second equals 100 Gal. Multiply your meters per square second value by 100 to convert to Gal.
What is the conversion formula?
gal (galileo) = m/s² × 100

The reverse is m/s² = gal (galileo) × 0.01, using the same exact factors as this converter.
Is this Meter per Square Second to Gal (Galileo) converter private?
Yes. All calculations run locally in your browser. Nothing you type is sent to a server.

All meter per square second conversions

Jump to any acceleration conversion starting from meter per square second — including the reverse direction and every other unit in our dataset.