Preprints
https://doi.org/10.5194/egusphere-2023-56
https://doi.org/10.5194/egusphere-2023-56
 
17 Jan 2023
17 Jan 2023
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Cloud and Precipitation Microphysical Retrievals from the EarthCARE Cloud Profiling Radar: the C-CLD product

Kamil Mroz1, Bernat Puidgomenech Treserras2, Alessandro Battaglia1,4,5, Pavlos Kollias2,3, Aleksandra Tatarevic2, and Frederic Tridon4 Kamil Mroz et al.
  • 1National Centre for Earth Observation, Leicester, UK
  • 2Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
  • 3Division of Atmospheric Sciences, Stony Brook University, NY, USA
  • 4Politecnico of Turin, Turin, Italy
  • 5Department of Physics and Astronomy, University of Leicester, Leicester, UK

Abstract. The Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) satellite mission developed by the European Space Agency (ESA) in cooperation with the Japan Aerospace Exploration Agency (JAXA) features a 94-GHz Doppler Cloud Profiling Radar (CPR). Here, the theoretical basis of the Cloud and Precipitation Microphysics (C-CLD) L2 algorithm is presented. The C-CLD provides best estimates of the vertical profiles of water mass content and hydrometeor characteristic size from CPR reflectivity and hydrometeor sedimentation Doppler velocity estimates using optimal estimation (OE) theory. An ensemble-based method is used to obtain the forward model relations and the associated uncertainty. The ensemble consists of a collection of in-situ measured drop size distributions that span natural microphysical variability. The ensemble mean and standard deviation represent the forward model relations and their microphysics-based uncertainty. The output variables are provided on the Joint-Standard-Grid (JSG) horizontal and L1b vertical grid (1 km along track and 100 m vertically). The OE framework is not applied to liquid-only clouds in drizzle-free and lightly drizzling conditions, where a more statistical approach is preferred.

Kamil Mroz et al.

Status: open (until 22 Feb 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Kamil Mroz et al.

Data sets

Microwave Single Scattering Properties Database Kamil Mroz, Jussi Leinonen https://doi.org/10.5281/zenodo.7510186

Single Scattering properties at W-band of ice populations Kamil Mroz https://doi.org/10.5281/zenodo.7529739

Kamil Mroz et al.

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Short summary
We present the theoretical basis of the algorithm for estimating the size and water content of cloud and precipitation. The algorithm utilizes the data collected by the Cloud Precipitation Radar that was developed for the upcoming Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) satellite mission. After the satellite launch, the vertical distribution of cloud and precipitation properties will be delivered as C-CLD product.