Cloud Property Retrievals in the ARM Program

Details

• Journal Title:
  Meteorological Mongraphs
• Personal Author:
  Shupe, Matthew D. ; Comstock, Jennifer M. ; Turner, David D. ; Mace, Gerald G.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory) ; ESRL (Earth System Research Laboratory)
• Description:
  Cloud feedbacks and processes have been clearly highlighted as a leading source of uncertainty for understanding global climate sensitivity (IPCC 2007). Clouds play fundamental and complex roles in the climate system by redistributing heat and moisture through modulation of atmospheric radiation, latent heating processes, and serving as a critical link in the hydrological cycle. They are affected by aerosol properties, large-scale circulation patterns, interactions with the surface, and tropospheric thermodynamic structure. Importantly, cloud systems are entwined in many feedbacks acting on both large and small scales (Stephens 2005). At the crux of the significant uncertainty associated with cloud processes is the fact that all of these properties, processes, and interactions of clouds with the earth’s climate system vary widely across the globe leading to a diversity, variability, and complexity of cloud systems that is difficult to represent using numerical models.
• Source:
  Meteor. Mon., 57, 19.1-19.20.
• DOI:
  https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0030.1
• Document Type:
  Journal Article
• Rights Information:
  Other
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:312e7d1f5199d1c80865f939fa4ab865aa3cc203a7f332955217211eb52e189b
• Download URL:
  https://repository.library.noaa.gov/view/noaa/14612/noaa_14612_DS1.pdf
• File Type:
  [PDF - 2.36 MB ]