Affiliation:
1. Lawrence Livermore National Laboratory Livermore CA USA
2. School of Marine and Atmospheric Sciences State University of New York at Stony Brook Stony Brook NY USA
Abstract
AbstractClimate 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.
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics