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Title: Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles

Abstract

It remains a challenge for climate models to correctly capture the relationship between precipitation and ENSO. This studyexamines the linkage between the simulated precipitation climatology and ENSO-related precipitation anomaly during borealwinter based on the multi-model ensemble from the Atmospheric Model Intercomparison Project Phase 5 (AMIP5) and perturbedparameter ensemble (PPE) with the Beijing Climate Center (BCC) atmospheric model. The AMIP5 models have large biases insimulating the tropical precipitation anomaly during El Niño, such as the shifts of the Inter-Tropical Convergence Zone (ITCZ)and South Pacific Convergence Zone (SPCZ). The inter-model differences show that the precipitation change in response to seasurface temperature (SST) change increases with enhanced precipitation climatology. The ENSO-related precipitation anomalycan also be related to the spatial distribution of the mean-state precipitation. The simulated ITCZ/SPCZ displacements aresignificantly correlated with the spatial precipitation-SST relationship in the mean state. Models with stronger mean-stateprecipitation-SST relationship also produce stronger SPCZ/ITCZ displacements. The mean-state tropical precipitation also hasstrong impacts on the ENSO-related precipitation anomalies over East Asia. In the BCC PPE, the connection between the mean-state precipitation and ENSO-related precipitation anomaly is overall consistent with that in AMIP5. Parameters associated withthe low-cloud and deep convection processes are the most influential ones for the precipitation simulations inmore » BCC. Comparedwith the version in AMIP5, the new BCC model can better simulate the precipitation climatology and the relationship betweenENSO and precipitation over southern China. These results have important implications for model development and model-basedclimate predictions.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3];  [1];  [4]
  1. Nanjing University
  2. Chinese Academy of Sciences
  3. BATTELLE (PACIFIC NW LAB)
  4. Nanjing University of Science and Technology
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1737356
Report Number(s):
PNNL-SA-147298
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Theoretical and Applied Climatology
Additional Journal Information:
Journal Volume: 139; Journal Issue: 1-2
Country of Publication:
United States
Language:
English

Citation Formats

Yang, Ben, Zhang, Yaocun, Guo, Zhun, Qian, Yun, Huang, Anning, and Zhou, Yang. Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles. United States: N. p., 2020. Web. doi:10.1007/s00704-019-02990-x.
Yang, Ben, Zhang, Yaocun, Guo, Zhun, Qian, Yun, Huang, Anning, & Zhou, Yang. Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles. United States. https://doi.org/10.1007/s00704-019-02990-x
Yang, Ben, Zhang, Yaocun, Guo, Zhun, Qian, Yun, Huang, Anning, and Zhou, Yang. 2020. "Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles". United States. https://doi.org/10.1007/s00704-019-02990-x.
@article{osti_1737356,
title = {Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles},
author = {Yang, Ben and Zhang, Yaocun and Guo, Zhun and Qian, Yun and Huang, Anning and Zhou, Yang},
abstractNote = {It remains a challenge for climate models to correctly capture the relationship between precipitation and ENSO. This studyexamines the linkage between the simulated precipitation climatology and ENSO-related precipitation anomaly during borealwinter based on the multi-model ensemble from the Atmospheric Model Intercomparison Project Phase 5 (AMIP5) and perturbedparameter ensemble (PPE) with the Beijing Climate Center (BCC) atmospheric model. The AMIP5 models have large biases insimulating the tropical precipitation anomaly during El Niño, such as the shifts of the Inter-Tropical Convergence Zone (ITCZ)and South Pacific Convergence Zone (SPCZ). The inter-model differences show that the precipitation change in response to seasurface temperature (SST) change increases with enhanced precipitation climatology. The ENSO-related precipitation anomalycan also be related to the spatial distribution of the mean-state precipitation. The simulated ITCZ/SPCZ displacements aresignificantly correlated with the spatial precipitation-SST relationship in the mean state. Models with stronger mean-stateprecipitation-SST relationship also produce stronger SPCZ/ITCZ displacements. The mean-state tropical precipitation also hasstrong impacts on the ENSO-related precipitation anomalies over East Asia. In the BCC PPE, the connection between the mean-state precipitation and ENSO-related precipitation anomaly is overall consistent with that in AMIP5. Parameters associated withthe low-cloud and deep convection processes are the most influential ones for the precipitation simulations in BCC. Comparedwith the version in AMIP5, the new BCC model can better simulate the precipitation climatology and the relationship betweenENSO and precipitation over southern China. These results have important implications for model development and model-basedclimate predictions.},
doi = {10.1007/s00704-019-02990-x},
url = {https://www.osti.gov/biblio/1737356}, journal = {Theoretical and Applied Climatology},
number = 1-2,
volume = 139,
place = {United States},
year = {2020},
month = {1}
}

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