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Title: Resolution Dependence and Rossby Wave Modulation of Atmospheric Rivers in an Aquaplanet Model

Abstract

Abstract Atmospheric rivers (ARs) are examined in a set of aquaplanet simulations using the Model for Prediction Across Scales dynamical core run at multiple horizontal resolutions, namely, 240, 120, and 60 km. As the resolution is increased, there is an increase in the occurrence of long‐lasting ARs. At the same time there is also an increase in the local finite‐amplitude wave activity (LWA) of upper‐tropospheric absolute vorticity, a measure for Rossby wave phase and amplitude that is closely linked with wave breaking. Consistent with the notion that changes in ARs are driven by midlatitude dynamics, a strong relationship is identified between ARs and the equatorward component of LWA. A logistic regression model is used to quantify the probability of AR occurrence based solely on LWA and explains most of the change in AR frequency with resolution. LWA is a diagnostic that may be easily applied to the broadly available output of phase 6 of the Coupled Model Intercomparison project and other model simulations, thus enabling scientists to infer AR and Rossby wave characteristics. AR characteristics, in particular, require higher‐resolution moisture and winds at multiple levels that are not always easily available.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]
  1. George Mason Univ., Fairfax, VA (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1544262
Alternate Identifier(s):
OSTI ID: 1454625
Grant/Contract Number:  
SC0012599; AGS-1338427; NA14OAR4310160; NNX14AM19G
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 12; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; atmospheric rivers; resolution; Rossby waves

Citation Formats

Swenson, Erik T., Lu, Jian, and Straus, David M. Resolution Dependence and Rossby Wave Modulation of Atmospheric Rivers in an Aquaplanet Model. United States: N. p., 2018. Web. doi:10.1029/2017JD027899.
Swenson, Erik T., Lu, Jian, & Straus, David M. Resolution Dependence and Rossby Wave Modulation of Atmospheric Rivers in an Aquaplanet Model. United States. https://doi.org/10.1029/2017JD027899
Swenson, Erik T., Lu, Jian, and Straus, David M. Wed . "Resolution Dependence and Rossby Wave Modulation of Atmospheric Rivers in an Aquaplanet Model". United States. https://doi.org/10.1029/2017JD027899. https://www.osti.gov/servlets/purl/1544262.
@article{osti_1544262,
title = {Resolution Dependence and Rossby Wave Modulation of Atmospheric Rivers in an Aquaplanet Model},
author = {Swenson, Erik T. and Lu, Jian and Straus, David M.},
abstractNote = {Abstract Atmospheric rivers (ARs) are examined in a set of aquaplanet simulations using the Model for Prediction Across Scales dynamical core run at multiple horizontal resolutions, namely, 240, 120, and 60 km. As the resolution is increased, there is an increase in the occurrence of long‐lasting ARs. At the same time there is also an increase in the local finite‐amplitude wave activity (LWA) of upper‐tropospheric absolute vorticity, a measure for Rossby wave phase and amplitude that is closely linked with wave breaking. Consistent with the notion that changes in ARs are driven by midlatitude dynamics, a strong relationship is identified between ARs and the equatorward component of LWA. A logistic regression model is used to quantify the probability of AR occurrence based solely on LWA and explains most of the change in AR frequency with resolution. LWA is a diagnostic that may be easily applied to the broadly available output of phase 6 of the Coupled Model Intercomparison project and other model simulations, thus enabling scientists to infer AR and Rossby wave characteristics. AR characteristics, in particular, require higher‐resolution moisture and winds at multiple levels that are not always easily available.},
doi = {10.1029/2017JD027899},
journal = {Journal of Geophysical Research: Atmospheres},
number = 12,
volume = 123,
place = {United States},
year = {Wed May 16 00:00:00 EDT 2018},
month = {Wed May 16 00:00:00 EDT 2018}
}

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Works referenced in this record:

A Multiscale Nonhydrostatic Atmospheric Model Using Centroidal Voronoi Tesselations and C-Grid Staggering
journal, September 2012

  • Skamarock, William C.; Klemp, Joseph B.; Duda, Michael G.
  • Monthly Weather Review, Vol. 140, Issue 9
  • DOI: 10.1175/MWR-D-11-00215.1

Satellite and CALJET Aircraft Observations of Atmospheric Rivers over the Eastern North Pacific Ocean during the Winter of 1997/98
journal, July 2004


The Community Climate System Model Version 4
journal, October 2011

  • Gent, Peter R.; Danabasoglu, Gokhan; Donner, Leo J.
  • Journal of Climate, Vol. 24, Issue 19
  • DOI: 10.1175/2011JCLI4083.1

Flooding in Western Washington: The Connection to Atmospheric Rivers
journal, December 2011

  • Neiman, Paul J.; Schick, Lawrence J.; Ralph, F. Martin
  • Journal of Hydrometeorology, Vol. 12, Issue 6
  • DOI: 10.1175/2011JHM1358.1

Dynamics of Landfalling Atmospheric Rivers over the North Pacific in 30 Years of MERRA Reanalysis
journal, September 2014


Toward the Dynamical Convergence on the Jet Stream in Aquaplanet AGCMs
journal, September 2015


Local finite-amplitude wave activity as an objective diagnostic of midlatitude extreme weather: WAVE ACTIVITY AND EXTREME WEATHER
journal, December 2015

  • Chen, Gang; Lu, Jian; Burrows, D. Alex
  • Geophysical Research Letters, Vol. 42, Issue 24
  • DOI: 10.1002/2015GL066959

Changes in Winter Atmospheric Rivers along the North American West Coast in CMIP5 Climate Models
journal, February 2015

  • Warner, Michael D.; Mass, Clifford F.; Salathé, Eric P.
  • Journal of Hydrometeorology, Vol. 16, Issue 1
  • DOI: 10.1175/JHM-D-14-0080.1

Future changes in atmospheric rivers and their implications for winter flooding in Britain
journal, July 2013

  • Lavers, David A.; Allan, Richard P.; Villarini, Gabriele
  • Environmental Research Letters, Vol. 8, Issue 3
  • DOI: 10.1088/1748-9326/8/3/034010

Resolution and Dynamical Core Dependence of Atmospheric River Frequency in Global Model Simulations
journal, April 2015


Moisture Origin and Meridional Transport in Atmospheric Rivers and Their Association with Multiple Cyclones*
journal, August 2013


A standard test for AGCMs including their physical parametrizations: I: The proposal
journal, July 2000


Interpretation of Enhanced Integrated Water Vapor Bands Associated with Extratropical Cyclones: Their Formation and Connection to Tropical Moisture
journal, April 2006

  • Bao, J-W.; Michelson, S. A.; Neiman, P. J.
  • Monthly Weather Review, Vol. 134, Issue 4
  • DOI: 10.1175/MWR3123.1

Uncertainties in Projecting Future Changes in Atmospheric Rivers and Their Impacts on Heavy Precipitation over Europe
journal, September 2016


Examining the Hydrological Variations in an Aquaplanet World Using Wave Activity Transformation
journal, April 2017


Evaluation of Nonhydrostatic Simulations of Northeast Pacific Atmospheric Rivers and Comparison to in Situ Observations
journal, September 2015

  • Swain, Daniel L.; Lebassi-Habtezion, Bereket; Diffenbaugh, Noah S.
  • Monthly Weather Review, Vol. 143, Issue 9
  • DOI: 10.1175/MWR-D-15-0079.1

A Proposed Algorithm for Moisture Fluxes from Atmospheric Rivers
journal, March 1998


How Do Atmospheric Rivers Form?
journal, August 2015

  • Dacre, H. F.; Clark, P. A.; Martinez-Alvarado, O.
  • Bulletin of the American Meteorological Society, Vol. 96, Issue 8
  • DOI: 10.1175/BAMS-D-14-00031.1

Exploring the impacts of physics and resolution on aqua-planet simulations from a nonhydrostatic global variable-resolution modeling framework: IMPACTS OF PHYSICS AND RESOLUTION
journal, November 2016

  • Zhao, Chun; Leung, L. Ruby; Park, Sang-Hun
  • Journal of Advances in Modeling Earth Systems, Vol. 8, Issue 4
  • DOI: 10.1002/2016MS000727

Local Finite-Amplitude Wave Activity as a Diagnostic of Anomalous Weather Events
journal, January 2016

  • Huang, Clare S. Y.; Nakamura, Noboru
  • Journal of the Atmospheric Sciences, Vol. 73, Issue 1
  • DOI: 10.1175/JAS-D-15-0194.1

Storms, floods, and the science of atmospheric rivers
journal, August 2011

  • Ralph, F. M.; Dettinger, M. D.
  • Eos, Transactions American Geophysical Union, Vol. 92, Issue 32
  • DOI: 10.1029/2011EO320001

The ERA-Interim reanalysis: configuration and performance of the data assimilation system
journal, April 2011

  • Dee, D. P.; Uppala, S. M.; Simmons, A. J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 137, Issue 656
  • DOI: 10.1002/qj.828

The detection of atmospheric rivers in atmospheric reanalyses and their links to British winter floods and the large-scale climatic circulation: ARS AND BRITISH WINTER FLOODS
journal, October 2012

  • Lavers, David A.; Villarini, Gabriele; Allan, Richard P.
  • Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D20
  • DOI: 10.1029/2012JD018027

Extreme winds and precipitation during landfall of atmospheric rivers
journal, February 2017

  • Waliser, Duane; Guan, Bin
  • Nature Geoscience, Vol. 10, Issue 3
  • DOI: 10.1038/ngeo2894

Flooding on California's Russian River: Role of atmospheric rivers
journal, January 2006

  • Ralph, F. Martin; Neiman, Paul J.; Wick, Gary A.
  • Geophysical Research Letters, Vol. 33, Issue 13
  • DOI: 10.1029/2006GL026689

Finite-Amplitude Wave Activity and Diffusive Flux of Potential Vorticity in Eddy–Mean Flow Interaction
journal, September 2010

  • Nakamura, Noboru; Zhu, Da
  • Journal of the Atmospheric Sciences, Vol. 67, Issue 9
  • DOI: 10.1175/2010JAS3432.1

Detection of atmospheric rivers: Evaluation and application of an algorithm for global studies: Detection of Atmospheric Rivers
journal, December 2015

  • Guan, Bin; Waliser, Duane E.
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 24
  • DOI: 10.1002/2015JD024257

Atmospheric rivers in 20 year weather and climate simulations: A multimodel, global evaluation: Atmospheric River Simulations
journal, June 2017

  • Guan, Bin; Waliser, Duane E.
  • Journal of Geophysical Research: Atmospheres, Vol. 122, Issue 11
  • DOI: 10.1002/2016JD026174

Extreme moisture transport into the Arctic linked to Rossby wave breaking: EXTREME MOISTURE FLUX AND WAVE BREAKING
journal, May 2015

  • Liu, Chengji; Barnes, Elizabeth A.
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 9
  • DOI: 10.1002/2014JD022796

An evaluation of atmospheric rivers over the North Pacific in CMIP5 and their response to warming under RCP 8.5: NORTH PACIFIC ATMOSPHERIC RIVERS IN CMIP5
journal, November 2015

  • Payne, Ashley E.; Magnusdottir, Gudrun
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 21
  • DOI: 10.1002/2015JD023586

Classification of atmospheric river events on the U.S. West Coast using a trajectory model: Classification of ARs in the western US
journal, April 2015

  • Ryoo, Ju-Mee; Waliser, Duane E.; Waugh, Darryn W.
  • Journal of Geophysical Research: Atmospheres, Vol. 120, Issue 8
  • DOI: 10.1002/2014JD022023

Forecast Verification
book, January 2011


Works referencing / citing this record:

Sensitivity of Atmospheric Rivers to Damping of Midlatitude Subseasonal Variability
journal, September 2019

  • Swenson, Erik T.; Stan, Cristiana
  • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 17-18
  • DOI: 10.1029/2018jd029934