Demonstrating Hierarchical System Development With the Common Community Physics Package Single‐Column Model: A Case Study Over the Southern Great Plains

Details

• Journal Title:
  Meteorological Applications
• Personal Author:
  Li, Weiwei ; D'Amico, Daniel ; Bernardet, Ligia ; Xue, Lulin ; Dudhia, Jimy ; Shin, Hyeyum Hailey ; Firl, Grant ; Sun, Shan ; Harrold, Michelle ; Nance, Louisa B. ; Ek, Michael ; Chu, Yufei
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; CIRA (Cooperative Institute for Research in the Atmosphere) ; GSL (Global Systems Laboratory)
• Description:
  This study demonstrates a specific application of the hierarchical system development (HSD) approach to investigate, analyze, and attribute model issues within the Unified Forecast System (UFS), with a focus on process isolation. By evaluating a non‐precipitating, shallow cumulus case at the Atmospheric Radiation Measurement Southern Great Plains site in the UFS global forecast against the observation, the investigation identifies a warmer and deeper daytime convective planetary boundary layer (PBL) and misrepresented nocturnal PBL transition. Hypothesis testing, which employs the Common Community Physics Package (CCPP) single‐column model (SCM) and uses the same physics as the UFS global model, confirms that these issues are attributed to the model physics and initialization. Specifically, misrepresented PBL processes are linked to problematic surface condition and a lack of cloud formation, which may stem from deficiencies in PBL and cloud microphysics parameterizations and their interactions. The UFS initial condition contributes to an earlier, excessively collapsed daytime convective boundary layer and a lack of decoupling between the stable boundary layer and residual layer late in the afternoon. This work introduces an avenue for the community to engage with the application of HSD, along with the CCPP and CCPP SCM, to understand the interplay of model physics, disentangle the roles of model components, as well as facilitate model and forecast improvement.
• Source:
  Meteorological Applications, 32(4)
• DOI:
  https://doi.org/10.1002/met.70073
• ISSN:
  1350-4827 ; 1469-8080
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• Funding:
  Grant no. NA19OAR4320073
• License:
  https://creativecommons.org/licenses/by-nc-nd/4.0/
• Rights Information:
  CC BY-NC-ND
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:384a51f17a80a14406c286212cf119e3c3cf491c3b5a763cef1a5fd814e4c8bfe8ad3da932b67a0da1602580fac517dcb156f409c9cc35e68616dfd70a955684
• Download URL:
  https://repository.library.noaa.gov/view/noaa/71050/noaa_71050_DS1.pdf
• File Type:
  [PDF - 2.95 MB ]