Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

vdis > Video DisdrometerInstrument Type(s) > Baseline • Guest

A disdrometer measures the drop size distribution and velocity of falling hydrometeors.

The 2-dimensional video-disdrometer (VDIS) comprises video cameras capable of observing individual hydrometeors from views perpendicular to each other. Two CCD line scan cameras are directed towards the measurement area. Objects passing through the measurement area—which is determined by the cross-section of the two optical paths as seen from above—obstruct the light and are detected as shadows by the cameras.

Each camera contains a small embedded computer responsible for handling the data-capture process, analysis of the data, and their conversion and compression into a format suitable for further processing. Subsequently the data are transferred to the computer used for instrument control and final analysis.

In order to identify individual precipitation particles by matching their views as seen by each of the cameras, it is necessary to synchronize the shutter and control both cameras with a synchronous line trigger signal.

To reconstruct observables like falling velocity, oblateness, etc. from the datastreams of the two cameras, the two optical paths are displaced vertically by about 6mm, typically. Measuring this distance and adjusting the background illumination are the two major calibration and maintenance tasks necessary for successful operation of the device.


  • Fixed
  • AMF1
  • AMF2
  • AMF3


Saleeby S, B Dolan, J Bukowski, K Van Valkenburg, S van den Heever, and S Rutledge. 2022. "Assessing Raindrop Breakup Parameterizations Using Disdrometer Observations." Journal of the Atmospheric Sciences, 79(11), 10.1175/JAS-D-21-0335.1.
Research Highlight

Chudler K, S Rutledge, and B Dolan. 2022. "Unique Radar Observations of Large Raindrops in Tropical Warm Rain during PISTON." Monthly Weather Review, 150(10), 10.1175/MWR-D-21-0298.1.

Schulte R, C Kummerow, C Klepp, and G Mace. 2022. "How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors? Part I: DSD Uncertainties." Journal of Applied Meteorology and Climatology, 61(9), 10.1175/JAMC-D-21-0158.1.


Jensen M, V Ghate, D Wang, D Apoznanski, M Bartholomew, S Giangrande, K Johnson, and M Thieman. 2021. "Contrasting characteristics of open- and closed-cellular stratocumulus cloud in the eastern North Atlantic." Atmospheric Chemistry and Physics, 21(19), 10.5194/acp-21-14557-2021.
Research Highlight

Wang D, M Bartholomew, SE Giangrande, and JC Hardin. 2021. Analysis of Three Types of Collocated Disdrometer Measurements at the ARM Southern Great Plains Observatory. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-275. 10.2172/1828172.

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