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Title: GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales

Abstract

Representations of strongly precipitating deep-convective systems in climate models are among the most important factors in their simulation. Parameterizations of these motions face the dual challenge of unclear pathways to including mesoscale organization and high sensitivity of convection to approximations of turbulent entrainment of environmental air. Ill-constrained entrainment processes can even affect global average climate sensitivity under global warming. Multiinstrument observations from the Department of Energy GoAmazon2014/5 field campaign suggest that an alternative formulation from radar-derived dominant updraft structure yields a strong relationship of precipitation to buoyancy in both mesoscale and smaller-scale convective systems. This simultaneously provides a key step toward representing the influence of mesoscale convection in climate models and sidesteps a problematic dependence on traditional entrainment rates. A substantial fraction of precipitation is associated with mesoscale convective systems (MCSs), which are currently poorly represented in climate models. Convective parameterizations are highly sensitive to the assumptions of an entraining plume model, in which high equivalent potential temperature air from the boundary layer is modified via turbulent entrainment. Here we show, using multiinstrument evidence from the Green Ocean Amazon field campaign (2014–2015; GoAmazon2014/5), that an empirically constrained weighting for inflow of environmental air based on radar wind profiler estimates ofmore » vertical velocity and mass flux yields a strong relationship between resulting buoyancy measures and precipitation statistics. This deep-inflow weighting has no free parameter for entrainment in the conventional sense, but to a leading approximation is simply a statement of the geometry of the inflow. The structure further suggests the weighting could consistently apply even for coherent inflow structures noted in field campaign studies for MCSs over tropical oceans. For radar precipitation retrievals averaged over climate model grid scales at the GoAmazon2014/5 site, the use of deep-inflow mixing yields a sharp increase in the probability and magnitude of precipitation with increasing buoyancy. Furthermore, this applies for both mesoscale and smaller-scale convection. Results from reanalysis and satellite data show that this holds more generally: Deep-inflow mixing yields a strong precipitation–buoyancy relation across the tropics. Lastly, deep-inflow mixing may thus circumvent inadequacies of current parameterizations while helping to bridge the gap toward representing mesoscale convection in climate models.« less

Authors:
; ; ; ORCiD logo
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1433405
Alternate Identifier(s):
OSTI ID: 1454817
Report Number(s):
BNL-205762-2018-JAAM
Journal ID: ISSN 0027-8424; /pnas/115/18/4577.atom
Grant/Contract Number:  
SC0011074; SC0012704
Resource Type:
Published Article
Journal Name:
Proceedings of the National Academy of Sciences of the United States of America
Additional Journal Information:
Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 115 Journal Issue: 18; Journal ID: ISSN 0027-8424
Publisher:
Proceedings of the National Academy of Sciences
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; tropical precipitation; moist convection; mesoscale convective system; convective parameterization; entrainment

Citation Formats

Schiro, Kathleen A., Ahmed, Fiaz, Giangrande, Scott E., and Neelin, J. David. GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales. United States: N. p., 2018. Web. doi:10.1073/pnas.1719842115.
Schiro, Kathleen A., Ahmed, Fiaz, Giangrande, Scott E., & Neelin, J. David. GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales. United States. doi:10.1073/pnas.1719842115.
Schiro, Kathleen A., Ahmed, Fiaz, Giangrande, Scott E., and Neelin, J. David. Tue . "GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales". United States. doi:10.1073/pnas.1719842115.
@article{osti_1433405,
title = {GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales},
author = {Schiro, Kathleen A. and Ahmed, Fiaz and Giangrande, Scott E. and Neelin, J. David},
abstractNote = {Representations of strongly precipitating deep-convective systems in climate models are among the most important factors in their simulation. Parameterizations of these motions face the dual challenge of unclear pathways to including mesoscale organization and high sensitivity of convection to approximations of turbulent entrainment of environmental air. Ill-constrained entrainment processes can even affect global average climate sensitivity under global warming. Multiinstrument observations from the Department of Energy GoAmazon2014/5 field campaign suggest that an alternative formulation from radar-derived dominant updraft structure yields a strong relationship of precipitation to buoyancy in both mesoscale and smaller-scale convective systems. This simultaneously provides a key step toward representing the influence of mesoscale convection in climate models and sidesteps a problematic dependence on traditional entrainment rates. A substantial fraction of precipitation is associated with mesoscale convective systems (MCSs), which are currently poorly represented in climate models. Convective parameterizations are highly sensitive to the assumptions of an entraining plume model, in which high equivalent potential temperature air from the boundary layer is modified via turbulent entrainment. Here we show, using multiinstrument evidence from the Green Ocean Amazon field campaign (2014–2015; GoAmazon2014/5), that an empirically constrained weighting for inflow of environmental air based on radar wind profiler estimates of vertical velocity and mass flux yields a strong relationship between resulting buoyancy measures and precipitation statistics. This deep-inflow weighting has no free parameter for entrainment in the conventional sense, but to a leading approximation is simply a statement of the geometry of the inflow. The structure further suggests the weighting could consistently apply even for coherent inflow structures noted in field campaign studies for MCSs over tropical oceans. For radar precipitation retrievals averaged over climate model grid scales at the GoAmazon2014/5 site, the use of deep-inflow mixing yields a sharp increase in the probability and magnitude of precipitation with increasing buoyancy. Furthermore, this applies for both mesoscale and smaller-scale convection. Results from reanalysis and satellite data show that this holds more generally: Deep-inflow mixing yields a strong precipitation–buoyancy relation across the tropics. Lastly, deep-inflow mixing may thus circumvent inadequacies of current parameterizations while helping to bridge the gap toward representing mesoscale convection in climate models.},
doi = {10.1073/pnas.1719842115},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 18,
volume = 115,
place = {United States},
year = {2018},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
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DOI: 10.1073/pnas.1719842115

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Works referenced in this record:

Convective cloud vertical velocity and mass-flux characteristics from radar wind profiler observations during GoAmazon2014/5
journal, November 2016

  • Giangrande, Scott E.; Toto, Tami; Jensen, Michael P.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 21, p. 12,891-12,913
  • DOI: 10.1002/2016JD025303

One-Dimensional Time-Dependent Modeling of GATE Cumulonimbus Convection
journal, February 1989


Deep Convection and Column Water Vapor over Tropical Land versus Tropical Ocean: A Comparison between the Amazon and the Tropical Western Pacific
journal, October 2016

  • Schiro, Kathleen A.; Neelin, J. David; Adams, David K.
  • Journal of the Atmospheric Sciences, Vol. 73, Issue 10, p. 4043-4063
  • DOI: 10.1175/JAS-D-16-0119.1

A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization
journal, December 1990


Effective Buoyancy, Inertial Pressure, and the Mechanical Generation of Boundary Layer Mass Flux by Cold Pools
journal, August 2015

  • Jeevanjee, Nadir; Romps, David M.
  • Journal of the Atmospheric Sciences, Vol. 72, Issue 8
  • DOI: 10.1175/JAS-D-14-0349.1

Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment
journal, January 2017

  • Giangrande, Scott E.; Feng, Zhe; Jensen, Michael P.
  • Atmospheric Chemistry and Physics, Vol. 17, Issue 23
  • DOI: 10.5194/acp-17-14519-2017

Relationships between Water Vapor Path and Precipitation over the Tropical Oceans
journal, April 2004


Tropical continental downdraft characteristics: mesoscale systems versus unorganized convection
journal, January 2018

  • Schiro, Kathleen A.; Neelin, J. David
  • Atmospheric Chemistry and Physics, Vol. 18, Issue 3
  • DOI: 10.5194/acp-18-1997-2018

Breaking the Cloud Parameterization Deadlock
journal, November 2003

  • Randall, David; Khairoutdinov, Marat; Arakawa, Akio
  • Bulletin of the American Meteorological Society, Vol. 84, Issue 11
  • DOI: 10.1175/BAMS-84-11-1547

Layer inflow into precipitating convection over the western tropical Pacific
journal, July 2002

  • Mechem, David B.; Houze Jr, Robert A.; Chen, Shuyi S.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 128, Issue 584
  • DOI: 10.1256/003590002320603502

Convective and stratiform components of the precipitation-moisture relationship: PRECIPITATION AND COLUMN MOISTURE
journal, December 2015

  • Ahmed, Fiaz; Schumacher, Courtney
  • Geophysical Research Letters, Vol. 42, Issue 23
  • DOI: 10.1002/2015GL066957

Cumulonimbus Vertical Velocity Events in GATE. Part I: Diameter, Intensity and Mass Flux
journal, November 1980


Organized Convection Parameterization for the ITCZ*
journal, August 2015

  • Khouider, Boualem; Moncrieff, Mitchell W.
  • Journal of the Atmospheric Sciences, Vol. 72, Issue 8
  • DOI: 10.1175/JAS-D-15-0006.1

Characteristics of Deep Tropical and Subtropical Convection from Nadir-Viewing High-Altitude Airborne Doppler Radar
journal, February 2010

  • Heymsfield, Gerald M.; Tian, Lin; Heymsfield, Andrew J.
  • Journal of the Atmospheric Sciences, Vol. 67, Issue 2
  • DOI: 10.1175/2009JAS3132.1

A Summary of Convective-Core Vertical Velocity Properties Using ARM UHF Wind Profilers in Oklahoma
journal, October 2013

  • Giangrande, Scott E.; Collis, Scott; Straka, Jerry
  • Journal of Applied Meteorology and Climatology, Vol. 52, Issue 10
  • DOI: 10.1175/JAMC-D-12-0185.1

Mass-Flux Characteristics of Tropical Cumulus Clouds from Wind Profiler Observations at Darwin, Australia
journal, May 2015

  • Kumar, Vickal V.; Jakob, Christian; Protat, Alain
  • Journal of the Atmospheric Sciences, Vol. 72, Issue 5
  • DOI: 10.1175/JAS-D-14-0259.1

Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I
journal, April 1974


The Equatorial 30-60 day Oscillation and the Arakawa-Schubert Penetrative Cumulus Parameterization [赤道域30-60日振動と荒川•Shubert積雲対流モデル]
journal, January 1988

  • Tokioka, Tatsushi; Yamazaki, Koji; Kitoh, Akio
  • Journal of the Meteorological Society of Japan. Ser. II, Vol. 66, Issue 6
  • DOI: 10.2151/jmsj1965.66.6_883

Kinematic characteristics of air flowing into and out of precipitating convection over the west Pacific warm pool: An airborne Doppler radar survey
journal, April 1999

  • Kingsmill, David E.; Houze, Robert A.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 125, Issue 556
  • DOI: 10.1002/qj.1999.49712555605

Temperature–Moisture Dependence of the Deep Convective Transition as a Constraint on Entrainment in Climate Models
journal, April 2012

  • Sahany, Sandeep; Neelin, J. David; Hales, Katrina
  • Journal of the Atmospheric Sciences, Vol. 69, Issue 4
  • DOI: 10.1175/JAS-D-11-0164.1

The global population of mesoscale convective complexes
journal, January 1997

  • Laing, Arlene G.; Michael Fritsch, J.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 123, Issue 538
  • DOI: 10.1002/qj.49712353807

Measurement of Convective Entrainment Using Lagrangian Particles
journal, January 2013

  • Yeo, Kyongmin; Romps, David M.
  • Journal of the Atmospheric Sciences, Vol. 70, Issue 1
  • DOI: 10.1175/JAS-D-12-0144.1

The mesoscale convection life cycle: Building block or prototype for large-scale tropical waves?
journal, December 2006


Mesoscale convective systems
journal, January 2004


Geographical differences in the tropical precipitation-moisture relationship and rain intensity onset: REGIONALITY AND INTENSITY IN P-
journal, January 2017

  • Ahmed, Fiaz; Schumacher, Courtney
  • Geophysical Research Letters, Vol. 44, Issue 2
  • DOI: 10.1002/2016GL071980

Variability of Midtropospheric Moisture and Its Effect on Cloud-Top Height Distribution during TOGA COARE*
journal, December 1997


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

Moisture Vertical Structure, Column Water Vapor, and Tropical Deep Convection
journal, June 2009

  • Holloway, Christopher E.; Neelin, J. David
  • Journal of the Atmospheric Sciences, Vol. 66, Issue 6
  • DOI: 10.1175/2008JAS2806.1

Substantial convection and precipitation enhancements by ultrafine aerosol particles
journal, January 2018


Introduction: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5)
journal, January 2016

  • Martin, S. T.; Artaxo, P.; Machado, L. A. T.
  • Atmospheric Chemistry and Physics, Vol. 16, Issue 8
  • DOI: 10.5194/acp-16-4785-2016

Stratiform Precipitation in Regions of Convection: A Meteorological Paradox?
journal, October 1997


Process-Oriented MJO Simulation Diagnostic: Moisture Sensitivity of Simulated Convection
journal, July 2014


Storm Morphology and Rainfall Characteristics of TRMM Precipitation Features
journal, October 2006

  • Nesbitt, Stephen W.; Cifelli, Robert; Rutledge, Steven A.
  • Monthly Weather Review, Vol. 134, Issue 10
  • DOI: 10.1175/MWR3200.1

The Transition to Strong Convection
journal, August 2009

  • Neelin, J. David; Peters, Ole; Hales, Katrina
  • Journal of the Atmospheric Sciences, Vol. 66, Issue 8
  • DOI: 10.1175/2009JAS2962.1

Sensitivity of moist convection to environmental humidity
journal, October 2004

  • Derbyshire, S. H.; Beau, I.; Bechtold, P.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 130, Issue 604
  • DOI: 10.1256/qj.03.130

Association of parameter, software, and hardware variation with large-scale behavior across 57,000 climate models
journal, July 2007

  • Knight, C. G.; Knight, S. H. E.; Massey, N.
  • Proceedings of the National Academy of Sciences, Vol. 104, Issue 30
  • DOI: 10.1073/pnas.0608144104

Spread in model climate sensitivity traced to atmospheric convective mixing
journal, January 2014

  • Sherwood, Steven C.; Bony, Sandrine; Dufresne, Jean-Louis
  • Nature, Vol. 505, Issue 7481
  • DOI: 10.1038/nature12829

Latent Heating and Mixing due to Entrainment in Tropical Deep Convection
journal, February 2014

  • McGee, Clayton J.; van den Heever, Susan C.
  • Journal of the Atmospheric Sciences, Vol. 71, Issue 2
  • DOI: 10.1175/JAS-D-13-0140.1

Parameterizing Convective Organization to Escape the Entrainment Dilemma: PARAMETERIZING CONVECTIVE ORGANIZATION
journal, February 2011

  • Mapes, Brian; Neale, Richard
  • Journal of Advances in Modeling Earth Systems, Vol. 3, Issue 2
  • DOI: 10.1029/2011MS000042

A Transilient Matrix for Moist Convection
journal, September 2011

  • Romps, David M.; Kuang, Zhiming
  • Journal of the Atmospheric Sciences, Vol. 68, Issue 9
  • DOI: 10.1175/2011JAS3712.1

Critical phenomena in atmospheric precipitation
journal, May 2006

  • Peters, Ole; Neelin, J. David
  • Nature Physics, Vol. 2, Issue 6
  • DOI: 10.1038/nphys314

Identifying sensitive ranges in global warming precipitation change dependence on convective parameters
journal, June 2016

  • Bernstein, Diana N.; Neelin, J. David
  • Geophysical Research Letters, Vol. 43, Issue 11
  • DOI: 10.1002/2016GL069022

Diabatic Divergence Profiles in Western Pacific Mesoscale Convective Systems
journal, May 1995


A Direct Measure of Entrainment
journal, June 2010


Entrainment and detrainment in cumulus convection: an overview
journal, June 2012

  • de Rooy, Wim C.; Bechtold, Peter; Fröhlich, Kristina
  • Quarterly Journal of the Royal Meteorological Society, Vol. 139, Issue 670
  • DOI: 10.1002/qj.1959

Simulation, Modeling, and Dynamically Based Parameterization of Organized Tropical Convection for Global Climate Models
journal, May 2017

  • Moncrieff, Mitchell W.; Liu, Changhai; Bogenschutz, Peter
  • Journal of the Atmospheric Sciences, Vol. 74, Issue 5
  • DOI: 10.1175/JAS-D-16-0166.1

The Genesis of Hurricane Guillermo: TEXMEX Analyses and a Modeling Study
journal, October 1997


Stratiform Rain in the Tropics as Seen by the TRMM Precipitation Radar*
journal, June 2003


Analytic Representation of the Large-Scale Organization of Tropical Convection
journal, July 2004


Vertical Velocity Characteristics of Deep Convection over Darwin, Australia
journal, June 1999


Organized Convective Systems: Archetypal Dynamical Models, Mass and Momentum Flux Theory, and Parametrization
journal, July 1992

  • Moncrieff, Mitchell W.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 118, Issue 507
  • DOI: 10.1002/qj.49711850703

The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales
journal, February 2007

  • Huffman, George J.; Bolvin, David T.; Nelkin, Eric J.
  • Journal of Hydrometeorology, Vol. 8, Issue 1
  • DOI: 10.1175/JHM560.1

Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales
journal, July 2008

  • Bechtold, Peter; Köhler, Martin; Jung, Thomas
  • Quarterly Journal of the Royal Meteorological Society, Vol. 134, Issue 634
  • DOI: 10.1002/qj.289