The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback

Details

• Journal Title:
  Geophysical Research Letters
• Personal Author:
  McCoy, Isabel L. ; McCoy, Daniel T. ; Wood, Robert ; Zuidema, Paquita ; Bender, Frida A.‐M.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; CSL (Chemical Sciences Laboratory)
• Description:
  A supervised neural network algorithm is used to categorize near-global satellite retrievals into three mesoscale cellular convective (MCC) cloud morphology patterns. At constant cloud amount, morphology patterns differ in brightness associated with the amount of optically thin cloud features. Environmentally driven transitions from closed MCC to other morphology patterns, typically accompanied by more optically thin cloud features, are used as a framework to quantify the morphology contribution to the optical depth component of the shortwave cloud feedback. A marine heat wave is used as an out-of-sample test of closed MCC occurrence predictions. Morphology shifts in optical depth between 65°S and 65°N under projected environmental
• Keywords:
  • General Earth and Planetary Sciences
  • Geophysics
• Source:
  Geophysical Research Letters, 50(2)
• DOI:
  https://doi.org/10.1029/2022gl101042
• ISSN:
  0094-8276 ; 1944-8007
• Format:
  PDF
• Publisher:
  American Geophysical Union (AGU)
• Document Type:
  Journal Article
• Funding:
  Grant no. NA18NWS4620043 ; Grant no. NA19OAR4310379
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Library
• Download URL:
  https://repository.library.noaa.gov/view/noaa/54040/noaa_54040_DS1.pdf
• File Type:
  [PDF - 2.57 MB]
• Collection(s):
  Office of Oceanic and Atmospheric Research (OAR) ; NOAA Cooperative Institutes
• Main Document Checksum:
  urn:sha256:884653b921639283135e2d2540fdeb3b0862071a4a4185ecce28356559fd83ec