Kollias, P., Bharadwaj, N., Clothiaux, E. E., Lamer, K., Oue, M., Hardin, J., Isom, B., Lindenmaier, I, Matthews, A., Luke, E. P., Giangrande, S. E., Johnson, K., Collis, S., Comstock, J. and Mather, J. H. (2020). The ARM Radar Network: At the Leading Edge of Cloud and Precipitation Observations. Bull. Amer. Meteorol. Soc., 101 (5). S. E588 - 20. BOSTON: AMER METEOROLOGICAL SOC. ISSN 1520-0477

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Abstract

Improving our ability to predict future weather and climate conditions is strongly linked to achieving significant advancements in our understanding of cloud and precipitation processes. Observations are critical to making these advancements because they both improve our understanding of these processes and provide constraints on numerical models. Historically, instruments for observing cloud properties have limited cloud-aerosol investigations to a small subset of cloud-process interactions. To address these challenges, the last decade has seen the U.S. DOE ARM facility significantly upgrade and expand its surveillance radar capabilities toward providing holistic and multiscale observations of clouds and precipitation. These upgrades include radars that operate at four frequency bands covering a wide range of scattering regimes, improving upon the information contained in earlier ARM observations. The traditional ARM emphasis on the vertical column is maintained, providing more comprehensive, calibrated, and multiparametric measurements of clouds and precipitation. In addition, the ARM radar network now features multiple scanning dual-polarization Doppler radars to exploit polarimetric and multi-Doppler capabilities that provide a wealth of information on storm microphysics and dynamics under a wide range of conditions. Although the diversity in wavelengths and detection capabilities are unprecedented, there is still considerable work ahead before the full potential of these radar advancements is realized. This includes synergy with other observations, improved forward and inverse modeling methods, and well-designed data-model integration methods. The overarching goal is to provide a comprehensive characterization of a complete volume of the cloudy atmosphere and to act as a natural laboratory for the study of cloud processes.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kollias, P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bharadwaj, N.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Clothiaux, E. E.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lamer, K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Oue, M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hardin, J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Isom, B.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lindenmaier, IUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Matthews, A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Luke, E. P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Giangrande, S. E.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Johnson, K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Collis, S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Comstock, J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mather, J. H.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-334869
DOI: 10.1175/BAMS-D-18-0288.1
Journal or Publication Title: Bull. Amer. Meteorol. Soc.
Volume: 101
Number: 5
Page Range: S. E588 - 20
Date: 2020
Publisher: AMER METEOROLOGICAL SOC
Place of Publication: BOSTON
ISSN: 1520-0477
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
VERTICAL AIR MOTION; MIXED-PHASE CLOUDS; DOPPLER-RADAR; RESOLVING MODEL; SIZE DISTRIBUTIONS; PROFILING RADAR; VARIATIONAL METHOD; MELTING LAYER; SQUALL LINE; CALIBRATIONMultiple languages
Meteorology & Atmospheric SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/33486

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