The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals
By Maria P. Cadeddu, James C. Liljegren, David D. Turner. 2013
209 citations recorded by the source corpus.
Abstract. The Climate Research Facility of the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program operates a network of ground-based microwave radiometers. Data and retrievals from these instruments have been available to the scientific community for almost 20 yr. In the past five years the network has expanded to include a total of 22 microwave radiometers deployed in various locations around the world. The new instruments cover a frequency range between 22 and 197 GHz and are consistently and automatically calibrated. The latest addition to the network is a new generation of three-channel radiometers, currently in the early stage of deployment at all ARM sites. The network has been specifically designed to achieve increased accuracy in the retrieval of precipitable water vapor (PWV) and cloud liquid water path (LWP) with the long-term goal of providing the scientific community with reliable, calibrated radiometric data and retrievals of important geophysical quantities with well-characterized uncertainties. The radiometers provide high-quality, continuous datasets that can be utilized in a wealth of applications and scientific studies. This paper presents an overview of the microwave instrumentation, calibration procedures, data, and retrievals that are available for download from the ARM data archive.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b0234dd245a7fd31086f48805f2425e4f24e52eb
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In Atmospheric Science
- M. Krämer
- Ulrike Lohmann
- Brent N. Holben
- Paul R. Field
- M. Schnaiter
- J. Crosier
- Alexander Smirnov
- P. Lawson
In Global and Planetary Change
Citations in the corpus
- Observed relations between snowfall microphysics and triple‐frequency radar measurements (2015, methodology): “For this, we use the LWP derived from the collocated two-channel MWR [Cadeddu et al., 2013]. Ideally, we would need to know the vertical distribution of SLW in order to accurately calculate the SLW attenuation profile. Lidar and airborne in situ observations indicate the SLW to be often concentrated”
- Mixed-Phase Clouds: Progress and Challenges (2017, methodology): “Thus, for low LWP mixed-phase cloud measurements, either additional high frequencies (Cadeddu et al. 2013) or new processing methods (Wang 2007) are needed to improve the LWP detection accuracy of supercooled liquid within clouds.”
- Evaluation of AERONET precipitable water vapor versus microwave radiometry, GPS, and radiosondes at ARM sites (2014, methodology): “At this point, the results at the Southern Great Plains are of particular interest because of the highly variable conditions ofW [e.g., Cadeddu et al., 2013] and the very large database (~3700 launches for the comparison).”