Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1127-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-1127-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
12 Feb 2021
Research article |  | 12 Feb 2021

Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements

Kyle E. Fitch, Chaoxun Hang, Ahmad Talaei, and Timothy J. Garrett

Data sets

Multi-Angle Snowflake Camera (MASC), 29 November 2015 to 28 August 2018 ARM Climate Research Facility https://adc.arm.gov/discovery/#/results/datastream::olimascM1.a1

Model code and software

MATLAB code for "Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements" Kyle E. Fitch, Chaoxun Hang, Ahmad Talaei, and Timothy J. Garrett https://doi.org/10.7278/S50DQTX9K7QY

Corrected Liquid Water Path Data and mascpy code for "Graupel Precipitating from Thin Arctic Clouds with Liquid Water Paths less than 50 g m-2" Kyle E. Fitch and Timothy J. Garrett https://doi.org/10.7278/S50DVA5JK2PD

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Short summary
Snow measurements are very sensitive to wind. Here, we compare airflow and snowfall simulations to Arctic observations for a Multi-Angle Snowflake Camera to show that measurements of fall speed, orientation, and size are accurate only with a double wind fence and winds below 5 m s−1. In this case, snowflakes tend to fall with a nearly horizontal orientation; the largest flakes are as much as 5 times more likely to be observed. Adjustments are needed for snow falling in naturally turbulent air.
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