Skip to main navigation Skip to search Skip to main content

Explicit Representation of Orographic Anisotropy for All Directions Improves Nanling Mountain Rainfall Simulation

  • Lawrence Livermore National Laboratory

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Climate models exhibit significant rainfall bias in mountainous regions. One reason is the insufficient representation of orographic anisotropy in these models. In this study, we implement the orographic drag scheme with 3-D orographic anisotropy (all flow directions (AFD)) into a general circulation model and investigate its impact on Nanling rainfall simulation where models have systematic dry bias in the summer. It is shown that the AFD alleviated the Nanling mountain rainfall bias by over 60%. This is through an anomalous “lower-convergence-higher-divergence” deceleration pattern of the flow windward of the Nanling Mountains that enhanced vertical motion and low-level moisture convergence. The results suggest the importance of explicit orographic anisotropy representation in rainfall simulation in mountainous regions.

Original languageEnglish
Article numbere2023GL106353
JournalGeophysical Research Letters
Volume50
Issue number22
DOIs
StatePublished - Nov 28 2023

Keywords

  • mountain rainfall
  • orographic anisotropy
  • orographic drag

Fingerprint

Dive into the research topics of 'Explicit Representation of Orographic Anisotropy for All Directions Improves Nanling Mountain Rainfall Simulation'. Together they form a unique fingerprint.

Cite this