Articles | Volume 15, issue 5
Atmos. Meas. Tech., 15, 1439–1464, 2022
https://doi.org/10.5194/amt-15-1439-2022

Special issue: Winter weather research in complex terrain during ICE-POP...

Atmos. Meas. Tech., 15, 1439–1464, 2022
https://doi.org/10.5194/amt-15-1439-2022
Research article
16 Mar 2022
Research article | 16 Mar 2022

Snow microphysical retrieval from the NASA D3R radar during ICE-POP 2018

S. Joseph Munchak et al.

Related authors

A Comparative Evaluation of Snowflake Particle Size and Shape Estimation Techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD)
Charles Nelson Helms, Stephen Joseph Munchak, Ali Tokay, and Claire Pettersen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-427,https://doi.org/10.5194/amt-2021-427, 2022
Revised manuscript under review for AMT
Short summary
Linkage among ice crystal microphysics, mesoscale dynamics, and cloud and precipitation structures revealed by collocated microwave radiometer and multifrequency radar observations
Jie Gong, Xiping Zeng, Dong L. Wu, S. Joseph Munchak, Xiaowen Li, Stefan Kneifel, Davide Ori, Liang Liao, and Donifan Barahona
Atmos. Chem. Phys., 20, 12633–12653, https://doi.org/10.5194/acp-20-12633-2020,https://doi.org/10.5194/acp-20-12633-2020, 2020
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Extending water vapor measurement capability of photon-limited differential absorption lidars through simultaneous denoising and inversion
Willem J. Marais and Matthew Hayman
Atmos. Meas. Tech., 15, 5159–5180, https://doi.org/10.5194/amt-15-5159-2022,https://doi.org/10.5194/amt-15-5159-2022, 2022
Short summary
GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm
Simon Pfreundschuh, Paula J. Brown, Christian D. Kummerow, Patrick Eriksson, and Teodor Norrestad​​​​​​​
Atmos. Meas. Tech., 15, 5033–5060, https://doi.org/10.5194/amt-15-5033-2022,https://doi.org/10.5194/amt-15-5033-2022, 2022
Short summary
Sensitivity analysis of DSD retrievals from polarimetric radar in stratiform rain based on the μ–Λ relationship
Christos Gatidis, Marc Schleiss, and Christine Unal
Atmos. Meas. Tech., 15, 4951–4969, https://doi.org/10.5194/amt-15-4951-2022,https://doi.org/10.5194/amt-15-4951-2022, 2022
Short summary
On the use of high-frequency surface wave oceanographic research radars as bistatic single-frequency oblique ionospheric sounders
Stephen R. Kaeppler, Ethan S. Miller, Daniel Cole, and Teresa Updyke
Atmos. Meas. Tech., 15, 4531–4545, https://doi.org/10.5194/amt-15-4531-2022,https://doi.org/10.5194/amt-15-4531-2022, 2022
Short summary
A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System
Hui Liu, Kevin Garrett, Kayo Ide, Ross N. Hoffman, and Katherine E. Lukens
Atmos. Meas. Tech., 15, 3925–3940, https://doi.org/10.5194/amt-15-3925-2022,https://doi.org/10.5194/amt-15-3925-2022, 2022
Short summary

Cited articles

Adams, I. S. and Bettenhausen, M. H.: The scattering properties of horizontally aligned snow crystals and crystal approximations at millimeter wavelengths, Radio Sci., 47, RS5007, https://doi.org/10.1029/2012RS005015, 2012. a
Andrić, J., Kumjian, M. R., Zrnić, D. S., Straka, J. M., and Melnikov, V. M.: Polarimetric signatures above the melting layer in winter storms: An observational and modeling study, J. Appl. Meteorol. Clim., 52, 682–700, 2013. a
Beard, K. V., Bringi, V., and Thurai, M.: A new understanding of raindrop shape, Atmos. Res., 97, 396–415, https://doi.org/10.1016/j.atmosres.2010.02.001, 2010. a
Bechini, R., Baldini, L., and Chandrasekar, V.: Polarimetric radar observations in the ice region of precipitating clouds at C-band and X-band radar frequencies, J. Appl. Meteorol. Clim., 52, 1147–1169, 2013. a, b
Bliven, L.: GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP, NASA Global Hydrology Resource Center DAAC [data set], Huntsville, Alabama, USA, https://doi.org/10.5067/GPMGV/ICEPOP/PIP/DATA101, 2020. a
Download
Short summary
The ability to measure snowfall with weather radar has greatly advanced with the development of techniques that utilize dual-polarization measurements, which provide information about the snow particle shape and orientation, and multi-frequency measurements, which provide information about size and density. This study combines these techniques with the NASA D3R radar, which provides dual-frequency polarimetric measurements, with data that were observed during the 2018 Winter Olympics.