Preprints
https://doi.org/10.5194/egusphere-2024-3916
https://doi.org/10.5194/egusphere-2024-3916
08 Jan 2025
 | 08 Jan 2025
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Riming-dependent Snowfall Rate and Ice Water Content Retrievals for W-band cloud radar

Nina Maherndl, Alessandro Battaglia, Anton Kötsche, and Maximilian Maahn

Abstract. Accurate measurements of snowfall in mid- and high-latitudes are particularly important, because snow provides a vital freshwater source, and impacts glacier mass balances as well as surface albedo. However, ice water content (IWC) and snowfall rates (SR) are hard to measure due to their high spatial variability and the remoteness of polar regions. In this study, we present novel ice water content – equivalent radar reflectivity (IWC-Ze) and snowfall rate – equivalent radar reflectivity (SR-Ze) relations for 40° slanted and vertically pointing W-band radar. The relations are derived from joint in situ snowfall and remote sensing (W-band radar and radiometer) data from the SAIL site (Colorado, USA) and validated for sites in Hyytiälä (Finland), Ny-Ålesund (Svalbard), and Eriswil (Switzerland). In addition, gauge measurements from SAIL and Hyytiälä are used as an independent reference for validation. We show the dependence of IWC-Ze and SR-Ze on riming, which we utilize to reduce the spread in the IWC-Ze and SR-Ze spaces. Normalized root mean square errors (NRMSE) are below 25 % for IWC > 0.1 gm⁻³. For SR, the NRMSE is below 70 % over the whole SR range. We also present relations using liquid water path as a proxy for the occurrence of riming, which can be applied to both ground-based and space-borne radar-radiometer instruments. The latter is demonstrated using the example of the proposed ESA Earth Explorer 11 candidate mission WIVERN. With this approach, NRMSE are below 75 % for IWC > 0.1 gm⁻³ and below 80 % for SR > 0.2 mmhr⁻¹.

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Nina Maherndl, Alessandro Battaglia, Anton Kötsche, and Maximilian Maahn

Status: open (until 13 Feb 2025)

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Nina Maherndl, Alessandro Battaglia, Anton Kötsche, and Maximilian Maahn

Data sets

Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023) Maximilian Maahn and Nina Maherndl https://doi.org/10.1594/PANGAEA.965766

Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (2021-2022) Maximilian Maahn and Nina Maherndl https://doi.org/10.1594/PANGAEA.958537

Video In Situ Snowfall Sensor (VISSS) data for Hyytiälä (2021-2022) Maximilian Maahn and Dmitri Moisseev https://doi.org/10.1594/PANGAEA.959046

“Surface Meteorological Instrumentation (MET).” Atmospheric Radiation Measurement (ARM) user facility Kyrouac, Jenni, Yan Shi, and Matt Tuftedal https://doi.org/10.5439/1786358

MWR Retrievals (MWRRET1LILJCLOU). Atmospheric Radiation Measurement (ARM) User Facility D. Zhang https://doi.org/10.5439/1027369

VISSS raw data from SAIL at gothic from November 2022 to june 2023 M. Maahn, V. Ettrichraetz, and I. Steinke https://doi.org/10.5439/2278627

Leipzig university W-band cloud radar, gothic (colorado), SAIL campaign second winter (15.11.2022 - 05.06.2023) H. Kalesse-Los, M. Maahn, A. Kötsche, V. Ettrichrätz, and I. Steinke https://doi.org/10.5439/2229846

Nina Maherndl, Alessandro Battaglia, Anton Kötsche, and Maximilian Maahn

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Short summary
Accurate measurements of cloud water content IWC and snowfall rate SR are challenging due to high spatial variability and limitations of our measurement techniques. Here we present a novel method to derive IWC and SR from W-band cloud radar observations, considering the degree of riming. We also investigate the use of the liquid water path as a proxy for the occurrence of riming, which is easier to measure, so that the method can be applied to both ground-based and space-based instruments.