Winter and Summer Rossby Wave Sources in the CMIP5 Models. Issue 10 (14th October 2019)

• Record Type: Journal Article
• Authors: Nie, Yu; Zhang, Yang; Yang, Xiu‐Qun; Ren, Hong‐Li
• Is Part Of: Earth and space science. Volume 6:Issue 10(2019)
• Page Start: 1831
• Page End: 1846
• Publication Date: 2019-10-14
• Subjects: Rossby wave source -- teleconnection pattern -- model simulation; Space sciences -- Periodicals; Geophysics -- Periodicals; 500.5
• DOI: 10.1029/2019EA000674
• Languages: English
• ISSNs: 2333-5084

Abstract

Abstract: The Rossby wave source (RWS) in the upper troposphere plays an important role in the tropical‐extratropical teleconnections. Using the daily outputs from the Phase 5 of the Coupled Model Intercomparison Project (CMIP5) models, the overall model performances in simulating the climatological Rossby wave sources in both winter and summer are evaluated. The ensemble mean of the CMIP5 models can simulate the large‐scale geographical distributions of the RWS reasonably close to the observations, with the simulations of RWS in general better in the Southern Hemisphere. For the Northern Hemisphere, most models overestimate the subtropical RWS but underestimate the midlatitude RWS in both winter and summer. Many models even fail to simulate the seasonal source‐sink shift of RWS in East Asia. Greatest intermodel differences are shown in East Asia, western North America in both seasons, and in the subtropical belt in winter hemisphere. Possible reasons for the model biases in RWS are further investigated. In the Northern Hemisphere, our analysis shows that model performance in simulating the local divergence, which might relate to the overly smoothed topography in Asia and western North America in the model, is most responsible for the biases of the RWS simulations. In the Southern Hemisphere, the bias in subtropical divergence pattern and tropical convection all contribute to the intermodel divergence of RWS simulation. Key Points: Daily outputs show that most CMIP5 models overestimate subtropical RWS but underestimate midlatitude RWS in NH in both winter and summer Greatest intermodel differences are shown in East Asia, western North America in both seasons, and in subtropical belt in winter hemisphere Model performance in simulating the local convergence is most responsible for biases of NH RWS simulation and global teleconnection patterns