The ARM program's water vapor intensive observation periods - Overview, initial accomplishments, and future challenges

By H. Revercomb, David D. Turner, D. Tobin, R. Knuteson, Wayne F. Feltz, J. Barnard, J. Bösenberg, S. A. Clough, D. Cook, Richard Ferrare and 15 more. 2003

146 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6aef7358a74bb627dc18ae67afb99a9068f853f3

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Citations in the corpus

Atmospheric Emitted Radiance Interferometer. Part I: Instrument Design (2004, background): “The clear-sky AERI observations are contributing to a better understanding of infrared spectroscopic issues, in particular the water vapor continuum, important for validation of infrared radiative transfer models (Revercomb et al. 2003; Tobin et al. 1999; Turner et al. 2004).”
Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers (2007, methodology): “[23] are due to the use of a linear fitting technique that accounts for the uncertainties in both variables, whereas standard linear regression (used in [23]) only accounts for uncertainty in dependent variable.”
The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals (2013, methodology): “Since their deployment, data from the MWRs have served as the reference for several ARM-sponsored water vapor studies (Revercomb et al., 2003; Mattioli et al., 2007), for comparisons of various water vapor measurement techniques involving sun photometers (Michalsky et al., 1995; Schmid et al.,…”
Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation (2006, methodology): “…and the combined use of Advanced Microwave Sounding Unit (AMSU) microwave and infrared radiances in the presence of clouds, AIRS is expected to produce retrievals of temperature and water vapor with high accuracy under clear and partly cloudy conditions (for scenes with cloud fraction up to 80%).”