Model Biases in the Simulation of the Springtime North Pacific ENSO Teleconnection

Author:

Chen Ruyan1,Simpson Isla R.2,Deser Clara2,Wang Bin134

Affiliation:

1. a Ministry of Education Key Laboratory for Earth System Modeling, and Department of Earth System Science, Tsinghua University, Beijing, China

2. b National Center for Atmospheric Research, Boulder, Colorado

3. c State Key Laboratory of Numerical Modeling for Atmospheric Sciences annind Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

4. d College of Ocean Science, University of Chinese Academy of Sciences, Beijing, China

Abstract

AbstractThe wintertime ENSO teleconnection over the North Pacific region consists of an intensified (weakened) low pressure center during El Niño (La Niña) events both in observations and in climate models. Here, it is demonstrated that this teleconnection persists too strongly into late winter and spring in the Community Earth System Model (CESM). This discrepancy arises in both fully coupled and atmosphere-only configurations, when observed SSTs are specified, and is shown to be robust when accounting for the sampling uncertainty due to internal variability. Furthermore, a similar problem is found in many other models from piControl simulations of the Coupled Model Intercomparison Project (23 out of 43 in phase 5 and 11 out of 20 in phase 6). The implications of this bias for the simulation of surface climate anomalies over North America are assessed. The overall effect on the ENSO composite field (El Niño minus La Niña) resembles an overly prolonged influence of ENSO into the spring with anomalously high temperatures over Alaska and western Canada, and wet (dry) biases over California (southwest Canada). Further studies are still needed to disentangle the relative roles played by diabatic heating, background flow, and other possible contributions in determining the overly strong springtime ENSO teleconnection intensity over the North Pacific.

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

American Meteorological Society

Subject

Atmospheric Science

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