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

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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.