Preprints
https://doi.org/10.5194/essd-2021-265
https://doi.org/10.5194/essd-2021-265

  10 Aug 2021

10 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

EUREC4A's Maria S. Merian ship-based cloud and micro rain radar observations of clouds and precipitation

Claudia Acquistapace1, Richard Coulter2, Susanne Crewell1, Albert Garcia-Benadi3,4, Rosa T. Gierens1, Giacomo Labbri6, Alexander Myagkov5, Nils Risse1, and Jan H. Schween1 Claudia Acquistapace et al.
  • 1Institute for Geophysics and Meteorology, University of Cologne, Pohligstrasse 3, 50969, Koeln, Germany (DE)
  • 2Argonne National Laboratory, 9700 S Cass Ave, Lemont, IL 60439, United States (US)
  • 3Department Applied Physics—Meteorology, Universitat de Barcelona, Barcelona, 08028 (ES)
  • 4Universitat Politècnica de Catalunya, Vilanova i la Geltrú, 08800, Spain
  • 5RPG Radiometer Physics GmbH, Werner-von-Siemens-Straße 4, 53340 Meckenheim, Germany (DE)
  • 6Universita’ di Bologna, Via Zamboni 33, 40126 Bologna, Italy (IT)

Abstract. As part of the EUREC4A field campaign, the research vessel Maria S. Merian probed an oceanic region between 6° N and 13.8° N and 51° W to 60° W for approximately 32 days. Trade wind cumulus clouds were sampled in the trade-wind alley region east of Barbados as well as in the transition region between the trades and the intertropical convergence zone, where the ship crossed some mesoscale oceanic eddies. We collected continuous observations of cloud and precipitation profiles at unprecedented vertical resolution (7–10 m in the first 3000 m) and high temporal resolution (1–3 s) using a W-band radar and micro-rain radar (MRR-PRO), installed on an active stabilization platform to reduce the impact of ship motions on the observations. The paper describes the ship motion correction algorithm applied to the Doppler observations to extract corrected hydrometeors vertical velocities and the algorithm created to filter interference patterns in the MRR-PRO observations. Radar reflectivity, mean Doppler velocity, spectral width and skewness for W-band and attenuated reflectivity, mean Doppler velocity and rain rate for MRR-PRO are shown for a case study to demonstrate the potential of the high resolution adopted. As non-standard analysis, we also retrieved and provided liquid water path (LWP) from the 89 GHz passive channel available on the W-band radar system. All datasets and hourly and daily quicklooks are publically available. Data can be accessed and basic variables can be plotted online via the intake catalog of the online book "How to EUREC4A".

Claudia Acquistapace et al.

Status: open (until 08 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-265', Martin Hagen, 07 Sep 2021 reply

Claudia Acquistapace et al.

Data sets

Liquid water path and Doppler radar moments observations from the 94 GHz FMCW-band radar deployed on R/V Maria S. Merian during EUREC4A campaign - V2 Claudia Acquistapace, Nils Risse, Johannes Röttenbacher, Jan H. Schween, Rainer Haseneder-Lind, Daniel Klocke, Heike Kalesse-Los, Richard L. Coulter, Steven M. Bormet, Alexander Myagkov, Thomas Rose https://doi.org/10.25326/235

Rain observations from a Micro rain radar MRR-PRO deployed on R/V Maria S. Merian during EUREC4A campaign Claudia Acquistapace, Albert Garcia-Benadi, Jan H. Schween, Rainer Haseneder-Lind, Daniel Klocke, Heike Kalesse-Los, Richard L. Coulter, Steven M. Bormet https://doi.org/10.25326/233

Claudia Acquistapace et al.

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Short summary
This publication describes the unprecedented high-resolution cloud and precipitation dataset collected by two radars deployed on the Maria S. Merian research vessel. The ship operated in the West Atlantic Ocean during the measurement campaign called EUREC4A, between 19 January and 19 February 2020. The data collected are crucial to investigate clouds and precipitation and understand how they form and change over the ocean, where it is so difficult to measure them.