Why Do Variable Wind Speed Readings Occur with a Constant Wind?

by Jacob Davis | Updated: 01/31/2018 | Comments: 2

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Constant wind and variable wind speed

At some point, you may have watched the real-time wind readings from your datalogger and seen the wind speed bouncing back and forth. Then, you probably wondered if it really was that gusty outside. In many cases, what you are seeing is the resolution of the pulse measurement. In this article, I’ll explain the accuracy and resolution of a pulse measurement, and how resolution affects your real-time readings.

What is the resolution of a pulse measurement?

Note: The resolution of a pulse measurement is the same for all Campbell Scientific dataloggers.

A pulse measurement is a digital measurement, and its resolution is dominated by time. The resolution is one pulse per interval. For a real-time value, the resolution is 1 divided by your scan rate.

When the actual signal frequency is between steps in the resolution, a constant input will result in real-time readings that bounce by a resolution step. If those values are averaged over a longer interval, the new resolution is 1 divided by the averaging interval.

The graph below shows how a constant 0.5 Hz signal appears to oscillate when read on a one-second scan rate. The one-minute average of those readings, shown as the blue line in the graph below, correctly results in 0.5 Hz.

Graph with 0.5 Hz signal

Click the graph for a larger image.

Moving the frequency up or down within the resolution step creates a sawtooth wave. The graph below shows how a 0.25 Hz signal would appear, read by the same datalogger. A 200.25 Hz signal would be offset but show the same oscillation on top of it.

Graph with 0.25 Hz signal

Click the graph for a larger image.

The table below shows an example of the resolution for three different scan rates, and how a 4.5 Hz signal would appear in real time:

Scan Rate Resolution Lowest Value Seen Highest Value Seen

100 milliseconds

10 Hz

0 Hz

10 Hz

1 second

1 Hz

4 Hz

5 Hz

10 seconds

0.1 Hz

4.5 Hz

4.5 Hz

An important thing to notice is that fast scan rates show bigger spikes. Readings performed at scan rates faster than your frequency create very significant resolution errors. To reduce the errors to acceptable limits, average your readings.

How does this affect your wind gust readings?

To explain the effect, I will use the 03101-L Wind Sentry Anemometer as an example. This anemometer has a multiplier of 0.75 m/s per Hz. So, a 10 Hz resolution error creates an error of 7.5 m/s. If you were to directly use the raw readings from a 100-millisecond (10 Hz) scan, your maximum wind speed could be overreported by 7.5 m/s! That is a huge error if your actual wind speed didn't exceed 2 m/s.

Wind gust is often reported as a maximum three-second average wind speed. The same sensor on a three-second interval has a resolution of 0.25 m/s. So, if we use the AvgRun() instruction to get a three-second average before taking the maximum, the datalogger might overreport by 0.25 m/s. That is 30 times smaller than the error we were seeing without averaging first.

What is the total accuracy of a pulse measurement?

The total measurement error of a pulse measurement done on a datalogger is the clock error plus the resolution error. The resolution error, as we have seen, is 1 divided by the scan interval. The clock error on a CR1000X is 0.02%. That gives us the specified accuracy of ±(0.02% of reading + 1/scan).

On short time periods, the resolution error dominates. Long time intervals greatly reduce it. On a daily average, the resolution error will be only 1/86400 Hz.

Takeaway Message

With pulse measurements, there is a tradeoff between responsive data displays and resolution errors. On intervals counted in minutes, you probably won't notice the measurement errors. When you want a real-time data display, you need to carefully consider what time interval to use. If you have any questions about resolution or accuracy as they relate to pulse measurements, please post them below.

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About the Author

jacob davis Jacob Davis is a Customer Support/Implementation Engineer at Campbell Scientific, Inc. He provides technical support to customers and assists with system integration. His specialties include serial communications and advanced datalogger programming. Jacob has a master’s degree in Hydrology and worked with large irrigation projects before coming to Campbell Scientific, Inc.

View all articles by this author.


GAG | 02/01/2018 at 11:44 PM

Hi, Jacob,

I do not knowing this sentence mean "A 200.25 Hz signal would be offset but show the same oscillation on top of it.", can you give more informaion?

This article is great, thanks.

JDavis | 02/02/2018 at 08:11 AM

A 200.25Hz signal would show values between 200 and 201. The spikes would be shaped the same.

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