Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM)

Wang, Fuyao; Yu, Yan; Notaro, Michael; Mao, Jiafu; Shi, Xiaoying; Wei, Yaxing

doi:10.1175/JCLI-D-17-0219.1

Title: Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM)

Authors:

Wang, Fuyao ^[1]; Yu, Yan ^[1]; Notaro, Michael ^[1]; Mao, Jiafu ^[2]; Shi, Xiaoying ^[2]; Wei, Yaxing ^[2]

Nelson Institute Center for Climatic Research, University of Wisconsin–Madison, Madison, Wisconsin
Environmental Sciences Division, and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee

Publication Date:: Wed Nov 01 00:00:00 EDT 2017

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1395203

Alternate Identifier(s):: OSTI ID: 1394474; OSTI ID: 1409247

Grant/Contract Number:: PRJ88SM; AC05-00OR22725

Resource Type:: Published Article

Journal Name:: Journal of Climate

Additional Journal Information:: Journal Name: Journal of Climate Journal Volume: 30 Journal Issue: 21; Journal ID: ISSN 0894-8755

Publisher:: American Meteorological Society

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES

Citation Formats


                    Wang, Fuyao, Yu, Yan, Notaro, Michael, Mao, Jiafu, Shi, Xiaoying, and Wei, Yaxing. Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM).  United States: N. p., 2017. 
Web.  doi:10.1175/JCLI-D-17-0219.1.

Copy to clipboard


                    Wang, Fuyao, Yu, Yan, Notaro, Michael, Mao, Jiafu, Shi, Xiaoying, & Wei, Yaxing. Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM).  United States.  https://doi.org/10.1175/JCLI-D-17-0219.1

Copy to clipboard


                    Wang, Fuyao, Yu, Yan, Notaro, Michael, Mao, Jiafu, Shi, Xiaoying, and Wei, Yaxing. Wed .  
"Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM)".  United States.  https://doi.org/10.1175/JCLI-D-17-0219.1.

Copy to clipboard


                    
@article{osti_1395203,

  title        = {Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM)},

  author       = {Wang, Fuyao and Yu, Yan and Notaro, Michael and Mao, Jiafu and Shi, Xiaoying and Wei, Yaxing},

  abstractNote = {},

  doi          = {10.1175/JCLI-D-17-0219.1},

  journal      = {Journal of Climate},

  number       = 21,

  volume       = 30,

  place        = {United States},

  year         = {Wed Nov 01 00:00:00 EDT 2017},

  month        = {Wed Nov 01 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Publisher's Version of Record
https://doi.org/10.1175/JCLI-D-17-0219.1

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 9 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Works referencing / citing this record:

Elucidating observed land surface feedbacks across sub-Saharan Africa
journal, March 2019

Notaro, Michael; Wang, Fuyao; Yu, Yan
Climate Dynamics, Vol. 53, Issue 3-4
DOI: 10.1007/s00382-019-04730-3

Observed land surface feedbacks on the Australian monsoon system
journal, February 2020

Yu, Yan; Notaro, Michael
Climate Dynamics, Vol. 54, Issue 5-6
DOI: 10.1007/s00382-020-05154-0

Similar Records in DOE PAGES and OSTI.GOV collections:

Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model

Journal Article Yu, Yan ; Notaro, Michael ; Wang, Fuyao ; ... - Journal of Climate

Generalized equilibrium feedback assessment (GEFA) is a potentially valuable multivariate statistical tool for extracting vegetation feedbacks to the atmosphere in either observations or coupled Earth system models. The reliability of GEFA at capturing the terrestrial impacts on regional climate is demonstrated in this paper using the National Center for Atmospheric Research Community Earth System Model (CESM), with focus on North Africa. The feedback is assessed statistically by applying GEFA to output from a fully coupled control run. To reduce the sampling error caused by short data records, the traditional or full GEFA is refined through stepwise GEFA by dropping unimportantmore »« less
Cited by 12
https://doi.org/10.1175/JCLI-D-17-0220.1
Global Climate Impacts of Fixing the Southern Ocean Shortwave Radiation Bias in the Community Earth System Model (CESM)

Journal Article Kay, Jennifer E. ; Wall, Casey ; Yettella, Vineel ; ... - Journal of Climate

Here, a large, long-standing, and pervasive climate model bias is excessive absorbed shortwave radiation (ASR) over the midlatitude oceans, especially the Southern Ocean. This study investigates both the underlying mechanisms for and climate impacts of this bias within the Community Earth System Model, version 1, with the Community Atmosphere Model, version 5 [CESM1(CAM5)]. Excessive Southern Ocean ASR in CESM1(CAM5) results in part because low-level clouds contain insufficient amounts of supercooled liquid. In a present-day atmosphere-only run, an observationally motivated modification to the shallow convection detrainment increases supercooled cloud liquid, brightens low-level clouds, and substantially reduces the Southern Ocean ASR bias.more »« less
Cited by 223
https://doi.org/10.1175/JCLI-D-15-0358.1

Full Text Available
Diagnosis of the Marine Low Cloud Simulation in the NCAR Community Earth System Model (CESM) and the NCEP Global Forecast System (GFS)-Modular Ocean Model v4 (MOM4) coupled model

Journal Article Xiao, Heng ; Mechoso, C. R. ; Sun, Rui ; ... - Climate Dynamics, 43(3-4):737-752

We present a diagnostic analysis of the marine low cloud climatology simulated by two state-of-the-art coupled atmosphere-ocean models: the NCAR Community Earth System Model (CESM) and the NCEP Global Forecasting System (GFS). In both models, the shallow convection and boundary layer turbulence parameterizations have been recently updated: both models now use a mass-flux scheme for the parameterization of shallow convection, and a turbulence parameterization capable of handling Stratocumulus (Sc)-topped Planetary Boundary Layers (PBLs). For shallow convection, both models employ a convective trigger function based on the concept of convective inhibition and both include explicit convective overshooting/penetrative entrainment formulation. For Sc-toppedmore »« less
https://doi.org/10.1007/s00382-014-2067-y
Running climate model on a commercial cloud computing environment: A case study using Community Earth System Model (CESM) on Amazon AWS

Journal Article Chen, Xiuhong ; Huang, Xianglei ; Jiao, Chaoyi ; ... - Computers and Geosciences

Not provided.
https://doi.org/10.1016/j.cageo.2016.09.014
Running climate model on a commercial cloud computing environment: A case study using Community Earth System Model (CESM) on Amazon AWS

Journal Article Chen, Xiuhong ; Huang, Xianglei ; Jiao, Chaoyi ; ... - Computers and Geosciences
Cited by 12
https://doi.org/10.1016/j.cageo.2016.09.014

Similar Records

Title: Advancing a Model-Validated Statistical Method for Decomposing the Key Oceanic Drivers of Regional Climate: Focus on Northern and Tropical African Climate Variability in the Community Earth System Model (CESM)

Citation Formats

Elucidating observed land surface feedbacks across sub-Saharan Africa journal, March 2019

Observed land surface feedbacks on the Australian monsoon system journal, February 2020

Elucidating observed land surface feedbacks across sub-Saharan Africa
journal, March 2019

Observed land surface feedbacks on the Australian monsoon system
journal, February 2020