Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer

McGibbon, J.; Bretherton, C. S.

doi:10.1029/2019gl083646

Title: Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer

Abstract

An artificial neural network is trained to reproduce thermodynamic tendencies and boundary layer properties from European Center for Medium-Range Weather Forecasts Reanalysis 5th Generation high resolution realization reanalysis data over the summertime northeast Pacific stratocumulus to trade cumulus transition region. The network is trained prognostically using 7-day forecasts rather than using diagnosed instantaneous tendencies alone. The resulting model, Machine-Assisted Reanalysis Boundary Layer Emulation, skillfully reproduces the boundary layer structure and cloud properties of the reanalysis data in 7-day single-column prognostic simulations over withheld testing periods. Radiative heating profiles are well simulated, and the mean climatology and variability of the stratocumulus to cumulus transition are accurately reproduced. Lastly, Machine-Assisted Reanalysis Boundary Layer Emulation more closely tracks the reanalysis than does a comparable configuration of the underlying forecast model.

Authors:

^[1];

^[1]

Univ. of Washington, Seattle, WA (United States)

Publication Date:: 2019-08-20

Research Org.:: Univ. of Washington, Seattle, WA (United States)

Sponsoring Org.:: USDOE Office of Science (SC)

OSTI Identifier:: 1612550

Alternate Identifier(s):: OSTI ID: 1558117

Grant/Contract Number:: SC0016433

Resource Type:: Accepted Manuscript

Journal Name:: Geophysical Research Letters

Additional Journal Information:: Journal Volume: 46; Journal Issue: 16; Journal ID: ISSN 0094-8276

Publisher:: American Geophysical Union

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES; boundary layer; machine learning; neural network; reanalysis; emulation

Citation Formats


                    McGibbon, J., and Bretherton, C. S. Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer.  United States: N. p., 2019. 
Web.  doi:10.1029/2019gl083646.

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                    McGibbon, J., & Bretherton, C. S. Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer.  United States.  https://doi.org/10.1029/2019gl083646

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                    McGibbon, J., and Bretherton, C. S. Tue .  
"Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer".  United States.  https://doi.org/10.1029/2019gl083646.  https://www.osti.gov/servlets/purl/1612550.

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@article{osti_1612550,

  title        = {Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer},

  author       = {McGibbon, J. and Bretherton, C. S.},

  abstractNote = {An artificial neural network is trained to reproduce thermodynamic tendencies and boundary layer properties from European Center for Medium-Range Weather Forecasts Reanalysis 5th Generation high resolution realization reanalysis data over the summertime northeast Pacific stratocumulus to trade cumulus transition region. The network is trained prognostically using 7-day forecasts rather than using diagnosed instantaneous tendencies alone. The resulting model, Machine-Assisted Reanalysis Boundary Layer Emulation, skillfully reproduces the boundary layer structure and cloud properties of the reanalysis data in 7-day single-column prognostic simulations over withheld testing periods. Radiative heating profiles are well simulated, and the mean climatology and variability of the stratocumulus to cumulus transition are accurately reproduced. Lastly, Machine-Assisted Reanalysis Boundary Layer Emulation more closely tracks the reanalysis than does a comparable configuration of the underlying forecast model.},

  doi          = {10.1029/2019gl083646},

  journal      = {Geophysical Research Letters},

  number       = 16,

  volume       = 46,

  place        = {United States},

  year         = {2019},

  month        = {8}

}

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Title: Single-Column Emulation of Reanalysis of the Northeast Pacific Marine Boundary Layer

Abstract

Citation Formats

Prognostic Validation of a Neural Network Unified Physics Parameterization journal, June 2018

Stratocumulus Clouds in Southeastern Pacific Simulated by Eight CMIP5–CFMIP Global Climate Models journal, April 2014

Clouds, Precipitation, and Marine Boundary Layer Structure during the MAGIC Field Campaign journal, March 2015

Deep learning to represent subgrid processes in climate models journal, September 2018

Radiative Effects of Cloud-Type Variations journal, January 2000

Cloud System Evolution in the Trades (CSET): Following the Evolution of Boundary Layer Cloud Systems with the NSF–NCAR GV journal, January 2019

Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model journal, January 2013

A single-column model intercomparison on the stratocumulus representation in present-day and future climate journal, April 2015

New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model journal, May 2005

Southeast Pacific Stratocumulus in the Community Atmosphere Model journal, September 2012

Stratocumulus Clouds journal, August 2012

Slow Manifolds and Multiple Equilibria in Stratocumulus-Capped Boundary Layers: SLOW MANIFOLDS AND STRATOCUMULUS journal, April 2010

Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL, and ECMWF Models journal, June 2009

Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence: LOW-CLOUD ULTRAPARAMETERIZATION journal, July 2017

Sensitivity of the Earth's radiation budget to changes in low clouds journal, January 1990

Dynamics and Chemistry of Marine Stratocumulus—DYCOMS-II journal, May 2003

Deep learning to represent subgrid processes in climate models text, January 2018

Prognostic validation of a neural network unified physics parameterization text, January 2018

Prognostic Validation of a Neural Network Unified Physics Parameterization
journal, June 2018

Stratocumulus Clouds in Southeastern Pacific Simulated by Eight CMIP5–CFMIP Global Climate Models
journal, April 2014

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journal, March 2015

Deep learning to represent subgrid processes in climate models
journal, September 2018

Radiative Effects of Cloud-Type Variations
journal, January 2000

Cloud System Evolution in the Trades (CSET): Following the Evolution of Boundary Layer Cloud Systems with the NSF–NCAR GV
journal, January 2019

Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model
journal, January 2013

A single-column model intercomparison on the stratocumulus representation in present-day and future climate
journal, April 2015

New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model
journal, May 2005

Southeast Pacific Stratocumulus in the Community Atmosphere Model
journal, September 2012

Stratocumulus Clouds
journal, August 2012

Slow Manifolds and Multiple Equilibria in Stratocumulus-Capped Boundary Layers: SLOW MANIFOLDS AND STRATOCUMULUS
journal, April 2010

Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL, and ECMWF Models
journal, June 2009

Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence: LOW-CLOUD ULTRAPARAMETERIZATION
journal, July 2017

Sensitivity of the Earth's radiation budget to changes in low clouds
journal, January 1990

Dynamics and Chemistry of Marine Stratocumulus—DYCOMS-II
journal, May 2003

Deep learning to represent subgrid processes in climate models
text, January 2018

Prognostic validation of a neural network unified physics parameterization
text, January 2018