the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dual-frequency (Ka-band and G-band) radar estimates of liquid water content profiles in shallow clouds
Abstract. The profile of the liquid water content (LWC) in clouds provides fundamental information for understanding the internal structure of clouds, their radiative effects, propensity to precipitate, and degree of entrainment and mixing with the surrounding environment. In principle, differential absorption techniques based on coincident dual-frequency radar reflectivity (DFR) observations have the potential to provide the LWC profile. Previous DFR efforts were challenged by the fact that the measurable differential attenuation for small quantities of LWC is usually comparable to the system measurement error. This typically renders the retrieval impractical, as the uncertainty can become many times greater than the retrieved value itself. Theoretically this drawback can be mitigated following two interconnected approaches: (1) increasing the frequency separation between the dual-frequency radar system to measure greater differential attenuation and (2) increasing the radar operating frequency to reduce the instrument measurement random error. Our recently developed 239 GHz radar was deployed at the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE) along with a variety of collocated remote and in-situ instruments. We have combined Ka-band (35 GHz) and G-band (239 GHz) observations to retrieve the LWC from more than 15000 vertical profiles of shallow clouds with small amounts of LWC. We theoretically and experimentally demonstrate that the pair Ka-band and G-band offers a substantial improvement in the LWC retrieval sensitivity compared to previous works reported in the literature using lower-frequency radars. This new technique provides a missing capability to determine the LWC in the challenging low liquid water path (LWP) range and suggests a way forward to characterize microphysical and dynamical processes more precisely in shallow clouds.
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Status: closed
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RC1: 'Comment on egusphere-2024-2090', Anonymous Referee #1, 05 Aug 2024
- AC1: 'Reply on RC1', Juan Socuellamos, 09 Oct 2024
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RC2: 'Comment on egusphere-2024-2090', Anonymous Referee #2, 12 Sep 2024
This is a very well written manuscript with an obvious novel contribution to cloud remote sensing studies that make it worthy of publication in AMT. However, numerous specific and technical edits need to be made prior to publication, and the Introduction section (and other sections as appropriate) need to include and reference other relevant (not to mention recent) studies and works on, for example, Ka-W or radiometric + high frequency radar retrieval work. The authors also need to clarify if their analysis is based on a single case study, or all good EPCAPE related data from the campaign. The approach and work are otherwise outstanding, and my suggested edits should not take much time to address. See attached document for my complete review.
- AC2: 'Reply on RC2', Juan Socuellamos, 09 Oct 2024
Status: closed
-
RC1: 'Comment on egusphere-2024-2090', Anonymous Referee #1, 05 Aug 2024
- AC1: 'Reply on RC1', Juan Socuellamos, 09 Oct 2024
-
RC2: 'Comment on egusphere-2024-2090', Anonymous Referee #2, 12 Sep 2024
This is a very well written manuscript with an obvious novel contribution to cloud remote sensing studies that make it worthy of publication in AMT. However, numerous specific and technical edits need to be made prior to publication, and the Introduction section (and other sections as appropriate) need to include and reference other relevant (not to mention recent) studies and works on, for example, Ka-W or radiometric + high frequency radar retrieval work. The authors also need to clarify if their analysis is based on a single case study, or all good EPCAPE related data from the campaign. The approach and work are otherwise outstanding, and my suggested edits should not take much time to address. See attached document for my complete review.
- AC2: 'Reply on RC2', Juan Socuellamos, 09 Oct 2024
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