Articles | Volume 7, issue 4
https://doi.org/10.5194/amt-7-1089-2014
https://doi.org/10.5194/amt-7-1089-2014
Research article
 | 
29 Apr 2014
Research article |  | 29 Apr 2014

Evaluation of gridded scanning ARM cloud radar reflectivity observations and vertical doppler velocity retrievals

K. Lamer, A. Tatarevic, I. Jo, and P. Kollias

Related authors

Cloud and precipitation microphysical retrievals from the EarthCARE Cloud Profiling Radar: the C-CLD product
Kamil Mroz, Bernat Puidgomènech Treserras, Alessandro Battaglia, Pavlos Kollias, Aleksandra Tatarevic, and Frederic Tridon
Atmos. Meas. Tech., 16, 2865–2888, https://doi.org/10.5194/amt-16-2865-2023,https://doi.org/10.5194/amt-16-2865-2023, 2023
Short summary
The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products
Abdanour Irbah, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 2795–2820, https://doi.org/10.5194/amt-16-2795-2023,https://doi.org/10.5194/amt-16-2795-2023, 2023
Short summary
Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma C. Borque, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 1901–1914, https://doi.org/10.5194/amt-16-1901-2023,https://doi.org/10.5194/amt-16-1901-2023, 2023
Short summary
The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory
Mariko Oue, Aleksandra Tatarevic, Pavlos Kollias, Dié Wang, Kwangmin Yu, and Andrew M. Vogelmann
Geosci. Model Dev., 13, 1975–1998, https://doi.org/10.5194/gmd-13-1975-2020,https://doi.org/10.5194/gmd-13-1975-2020, 2020
Short summary
Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals
Mariko Oue, Pavlos Kollias, Alan Shapiro, Aleksandra Tatarevic, and Toshihisa Matsui
Atmos. Meas. Tech., 12, 1999–2018, https://doi.org/10.5194/amt-12-1999-2019,https://doi.org/10.5194/amt-12-1999-2019, 2019
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Cloud and precipitation microphysical retrievals from the EarthCARE Cloud Profiling Radar: the C-CLD product
Kamil Mroz, Bernat Puidgomènech Treserras, Alessandro Battaglia, Pavlos Kollias, Aleksandra Tatarevic, and Frederic Tridon
Atmos. Meas. Tech., 16, 2865–2888, https://doi.org/10.5194/amt-16-2865-2023,https://doi.org/10.5194/amt-16-2865-2023, 2023
Short summary
Cloud mask algorithm from the EarthCARE Multi-Spectral Imager: the M-CM products
Anja Hünerbein, Sebastian Bley, Stefan Horn, Hartwig Deneke, and Andi Walther
Atmos. Meas. Tech., 16, 2821–2836, https://doi.org/10.5194/amt-16-2821-2023,https://doi.org/10.5194/amt-16-2821-2023, 2023
Short summary
Across-track extension of retrieved cloud and aerosol properties for the EarthCARE mission: the ACMB-3D product
Zhipeng Qu, Howard W. Barker, Jason N. S. Cole, and Mark W. Shephard
Atmos. Meas. Tech., 16, 2319–2331, https://doi.org/10.5194/amt-16-2319-2023,https://doi.org/10.5194/amt-16-2319-2023, 2023
Short summary
Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory
Steven T. Massie, Heather Cronk, Aronne Merrelli, Sebastian Schmidt, and Steffen Mauceri
Atmos. Meas. Tech., 16, 2145–2166, https://doi.org/10.5194/amt-16-2145-2023,https://doi.org/10.5194/amt-16-2145-2023, 2023
Short summary
Evaluation of polarimetric ice microphysical retrievals with OLYMPEX campaign data
Armin Blanke, Andrew J. Heymsfield, Manuel Moser, and Silke Trömel
Atmos. Meas. Tech., 16, 2089–2106, https://doi.org/10.5194/amt-16-2089-2023,https://doi.org/10.5194/amt-16-2089-2023, 2023
Short summary

Cited articles

Askelson, M. A.: A Study of the Kinematic and Microphysical Evolution of a Supercell from First Echo using Polarization Diversity Radar, School of Meteorology, 94. 100 E. Boyd, Norman, Ok 73019, University of Oklahoma, 1996.
Barnes, S. L.: A technique for maximizing details in numerical weather map analysis, J. Appl. Meteorol., 3, 396–409, 1964.
Browning, K. and Wexler, R.: The determination of kinematic properties of a wind field using Doppler radar, J. Appl. Meteorol., 7, 105–113, 1968.
Clothiaux, E., Miller, M., Albrecht, B., Ackerman, T., Verlinde, J., Babb, D., Peters, R., and Syrett, W.: An evaluation of a 94-GHz radar for remote sensing of cloud properties, J. Atmos. Ocean. Tech., 12, 201–229, 1995.
Clothiaux, E. E., Ackerman, T. P., Mace, G. G., Moran, K. P., Marchand, R. T., Miller, M. A., and Martner, B. E.: Objective determination of cloud heights and radar reflectivities using a combination of active remote sensors at the ARM CART sites, J. Appl. Meteorol., 39, 645–665, 2000.