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Title: Cloud Optical Properties from the Multifilter Shadowband Radiometer (MFRSRCLDOD). An ARM Value-Added Product

The microphysical properties of clouds play an important role in studies of global climate change. Observations from satellites and surface-based systems have been used to infer cloud optical depth and effective radius. Min and Harrison (1996) developed an inversion method to infer the optical depth of liquid water clouds from narrow band spectral Multifilter Rotating Shadowband Radiometer (MFRSR) measurements (Harrison et al. 1994). Their retrieval also uses the total liquid water path (LWP) measured by a microwave radiometer (MWR) to obtain the effective radius of the warm cloud droplets. Their results were compared with Geostationary Operational Environmental Satellite (GOES) retrieved values at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site (Min and Harrison 1996). Min et al. (2003) also validated the retrieved cloud optical properties against in situ observations, showing that the retrieved cloud effective radius agreed well with the in situ forward scattering spectrometer probe observations. The retrieved cloud optical properties from Min et al. (2003) were used also as inputs to an atmospheric shortwave model, and the computed fluxes were compared with surface pyranometer observations.
Authors:
 [1] ;  [1] ;  [2] ;  [2] ;  [2] ;  [3]
  1. DOE ARM Climate Research Facility, Washington, DC (United States)
  2. DOE ARM Climate Research Facility, Washington, DC (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. State University of New York, Albany; DOE ARM Climate Research Facility, Washington, DC (United States)
Publication Date:
OSTI Identifier:
1237958
Report Number(s):
DOE/SC-ARM/TR--139
DOE Contract Number:
AC05-7601830
Resource Type:
Technical Report
Publisher:
DOE ARM Climate Research Facility, Pacific Northwest National Laboratory; Richland, Washington
Research Org:
DOE ARM Climate Research Facility, Washington, DC (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING