Assessing Impacts of PBL and Surface Layer Schemes in Simulating the Surface–Atmosphere Interactions and Precipitation over the Tropical Ocean Using Observations from AMIE/DYNAMO

• DOI: 10.1175/jcli-d-16-0040.1
• Publication Date: 2016-08-02T20:18:02Z
• Authors: Yun Qian; Huiping Yan; Larry K. Berg; Samson Hagos; Zhe Feng; Ben Yang; Maoyi Huang
• Keywords: Madden–Julian oscillation

Abstract Accuracy of turbulence parameterization in representing planetary boundary layer (PBL) processes and surface–atmosphere interactions climate models is critical for predicting the initiation development clouds. This study 1) evaluates WRF Model–simulated spatial patterns vertical profiles atmospheric variables at various resolutions with different PBL, surface layer, shallow convection schemes against measurements; 2) identifies model biases by examining moisture tendency terms contributed PBL through nudging experiments; 3) investigates main causes these analyzing dependence modeled fluxes on over tropical ocean. The results show that parameterizations have surprisingly large impacts precipitation oceans. All tested tend to overpredict free atmosphere consequently result larger moist static energy precipitation. Moisture tends suppress reduces excess reduction bias turn wind latent heat (LH) flux biases, which suggests positive feedback between responsible, least part, drifts. updated Kain–Fritsch cumulus potential (KF-CuP) scheme deep convection, decreasing Eta Model predicts more reasonable LH LH–wind speed relationship than those MM5 scheme. help us identify sources current reproducing processes, intraseasonal variability