The ARM Radar Network: At the Leading Edge of Cloud and Precipitation Observations

Author:

Kollias P.1,Bharadwaj N.2,Clothiaux E. E.3,Lamer K.4,Oue M.5,Hardin J.2,Isom B.2,Lindenmaier I.2,Matthews A.2,Luke E. P.6,Giangrande S. E.6,Johnson K.6,Collis S.7,Comstock J.2,Mather J. H.2

Affiliation:

1. Stony Brook University, State University of New York, Stony Brook, and Brookhaven National Laboratory, Upton, New York, and University of Cologne, Cologne, Germany

2. Pacific Northwest National Laboratory, Richland, Washington

3. The Pennsylvania State University, University Park, Pennsylvania

4. City College of New York, New York, New York

5. Stony Brook University, State University of New York, Stony Brook, New York

6. Brookhaven National Laboratory, Upton, New York

7. Argonne National Laboratory, Argonne, Illinois

Abstract

AbstractImproving 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference105 articles.

1. The programmatic maturation of the ARM program;Ackerman,2016

2. Improving the representation of low clouds and drizzle in the ECMWF model based on ARM observations from the Azores;Ahlgrimm;Mon. Wea. Rev.,2014

3. Radar calibration: Some simple approaches;Atlas;Bull. Amer. Meteor. Soc.,2002

4. Calibration system for ARM radars. 36th Conf. on Radar Meteorology;Bharadwaj,2013

5. First observations of tracking clouds using scanning ARM cloud radars;Borque;J. Appl. Meteor. Climatol.,2014

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