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.
Received: 11 Dec 2024 – Discussion started: 08 Jan 2025
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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
“Surface Meteorological Instrumentation (MET).” Atmospheric Radiation Measurement (ARM) user facilityKyrouac, Jenni, Yan Shi, and Matt Tuftedal https://doi.org/10.5439/1786358
VISSS raw data from SAIL at gothic from November 2022 to june 2023M. 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
Viewed
Total article views: 57 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
50
4
3
57
0
0
HTML: 50
PDF: 4
XML: 3
Total: 57
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 08 Jan 2025)
Cumulative views and downloads
(calculated since 08 Jan 2025)
Viewed (geographical distribution)
Total article views: 51 (including HTML, PDF, and XML)
Thereof 51 with geography defined
and 0 with unknown origin.
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.
Accurate measurements of cloud water content IWC and snowfall rate SR are challenging due to...