skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

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:
ORCiD logo [1]; ORCiD logo [1]
+ Show Author Affiliations
  1. Univ. of Washington, Seattle, WA (United States)
Publication Date:
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. https://doi.org/10.1029/2019gl083646.
Copy to clipboard
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
Copy to clipboard
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.
Copy to clipboard
@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}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1029/2019gl083646
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

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

  • Brenowitz, N. D.; Bretherton, C. S.
  • Geophysical Research Letters, Vol. 45, Issue 12
  • DOI: 10.1029/2018GL078510

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

  • Rasp, Stephan; Pritchard, Michael S.; Gentine, Pierre
  • Proceedings of the National Academy of Sciences, Vol. 115, Issue 39
  • DOI: 10.1073/pnas.1810286115

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

  • Albrecht, Bruce; Ghate, Virendra; Mohrmann, Johannes
  • Bulletin of the American Meteorological Society, Vol. 100, Issue 1
  • DOI: 10.1175/BAMS-D-17-0180.1

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

  • Krasnopolsky, Vladimir M.; Fox-Rabinovitz, Michael S.; Belochitski, Alexei A.
  • Advances in Artificial Neural Systems, Vol. 2013
  • DOI: 10.1155/2013/485913

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

  • Dal Gesso, S.; van der Dussen, J. J.; Siebesma, A. P.
  • Journal of Advances in Modeling Earth Systems, Vol. 7, Issue 2
  • DOI: 10.1002/2014MS000377

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

  • Krasnopolsky, Vladimir M.; Fox-Rabinovitz, Michael S.; Chalikov, Dmitry V.
  • Monthly Weather Review, Vol. 133, Issue 5
  • DOI: 10.1175/MWR2923.1

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

  • Medeiros, Brian; Williamson, David L.; Hannay, Cécile
  • Journal of Climate, Vol. 25, Issue 18
  • DOI: 10.1175/JCLI-D-11-00503.1

Stratocumulus Clouds
journal, August 2012

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

  • Bretherton, Christopher S.; Uchida, Junya; Blossey, Peter N.
  • Journal of Advances in Modeling Earth Systems, Vol. 2, Issue 4
  • DOI: 10.3894/JAMES.2010.2.14

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

  • Hannay, Cécile; Williamson, David L.; Hack, James J.
  • Journal of Climate, Vol. 22, Issue 11
  • DOI: 10.1175/2008JCLI2479.1

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

  • Parishani, Hossein; Pritchard, Michael S.; Bretherton, Christopher S.
  • Journal of Advances in Modeling Earth Systems, Vol. 9, Issue 3
  • DOI: 10.1002/2017MS000968

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

  • Stevens, Bjorn; Lenschow, Donald H.; Vali, Gabor
  • Bulletin of the American Meteorological Society, Vol. 84, Issue 5
  • DOI: 10.1175/BAMS-84-5-579
    [ × clear filter / sort ]

    Similar Records in DOE PAGES and OSTI.GOV collections: