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Title: How Do Microphysical Processes Influence Large-Scale Precipitation Variability and Extremes?

Abstract

Convection permitting simulations using the Model for Prediction Across Scales-Atmosphere (MPAS-A) are used to examine how microphysical processes affect large-scale precipitation variability and extremes. An episode of the Madden-Julian Oscillation is simulated using MPAS-A with a refined region at 4-km grid spacing over the Indian Ocean. It is shown that cloud microphysical processes regulate the precipitable water (PW) statistics. Because of the non-linear relationship between precipitation and PW, PW exceeding a certain critical value (PWcr) contributes disproportionately to precipitation variability. However, the frequency of PW exceeding PWcr decreases rapidly with PW, so changes in microphysical processes that shift the column PW statistics relative to PWcr even slightly have large impacts on precipitation variability. Furthermore, precipitation variance and extreme precipitation frequency are approximately linearly related to the difference between the mean and critical PW values. Thus observed precipitation statistics could be used to directly constrain model microphysical parameters as this study demonstrates using radar observations from DYNAMO field campaign.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Univ. of Science and Technology of China, Hefei (China). School of Earth and Space Sciences
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Science Foundation (NSF)
OSTI Identifier:
1422784
Grant/Contract Number:  
AGS-1442095; AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 45; Journal Issue: 3; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Hagos, Samson, Ruby Leung, L., Zhao, Chun, Feng, Zhe, and Sakaguchi, Koichi. How Do Microphysical Processes Influence Large-Scale Precipitation Variability and Extremes?. United States: N. p., 2018. Web. doi:10.1002/2017GL076375.
Hagos, Samson, Ruby Leung, L., Zhao, Chun, Feng, Zhe, & Sakaguchi, Koichi. How Do Microphysical Processes Influence Large-Scale Precipitation Variability and Extremes?. United States. doi:10.1002/2017GL076375.
Hagos, Samson, Ruby Leung, L., Zhao, Chun, Feng, Zhe, and Sakaguchi, Koichi. Sat . "How Do Microphysical Processes Influence Large-Scale Precipitation Variability and Extremes?". United States. doi:10.1002/2017GL076375. https://www.osti.gov/servlets/purl/1422784.
@article{osti_1422784,
title = {How Do Microphysical Processes Influence Large-Scale Precipitation Variability and Extremes?},
author = {Hagos, Samson and Ruby Leung, L. and Zhao, Chun and Feng, Zhe and Sakaguchi, Koichi},
abstractNote = {Convection permitting simulations using the Model for Prediction Across Scales-Atmosphere (MPAS-A) are used to examine how microphysical processes affect large-scale precipitation variability and extremes. An episode of the Madden-Julian Oscillation is simulated using MPAS-A with a refined region at 4-km grid spacing over the Indian Ocean. It is shown that cloud microphysical processes regulate the precipitable water (PW) statistics. Because of the non-linear relationship between precipitation and PW, PW exceeding a certain critical value (PWcr) contributes disproportionately to precipitation variability. However, the frequency of PW exceeding PWcr decreases rapidly with PW, so changes in microphysical processes that shift the column PW statistics relative to PWcr even slightly have large impacts on precipitation variability. Furthermore, precipitation variance and extreme precipitation frequency are approximately linearly related to the difference between the mean and critical PW values. Thus observed precipitation statistics could be used to directly constrain model microphysical parameters as this study demonstrates using radar observations from DYNAMO field campaign.},
doi = {10.1002/2017GL076375},
journal = {Geophysical Research Letters},
number = 3,
volume = 45,
place = {United States},
year = {2018},
month = {2}
}

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Works referenced in this record:

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

Tracking Pulses of the Madden–Julian Oscillation
journal, December 2013

  • Yoneyama, Kunio; Zhang, Chidong; Long, Charles N.
  • Bulletin of the American Meteorological Society, Vol. 94, Issue 12
  • DOI: 10.1175/BAMS-D-12-00157.1

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

Evaluation of cloud-resolving model intercomparison simulations using TWP-ICE observations: Precipitation and cloud structure
journal, January 2011

  • Varble, Adam; Fridlind, Ann M.; Zipser, Edward J.
  • Journal of Geophysical Research, Vol. 116, Issue D12
  • DOI: 10.1029/2010JD015180

Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations
journal, April 2011


Madden–Julian Oscillation prediction skill of a new-generation global model demonstrated using a supercomputer
journal, May 2014

  • Miyakawa, Tomoki; Satoh, Masaki; Miura, Hiroaki
  • Nature Communications, Vol. 5, Issue 1
  • DOI: 10.1038/ncomms4769

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


A Madden-Julian Oscillation Event Realistically Simulated by a Global Cloud-Resolving Model
journal, December 2007


Signature of microphysics on spatial rainfall statistics
journal, January 2011

  • Parodi, A.; Foufoula-Georgiou, E.; Emanuel, K.
  • Journal of Geophysical Research, Vol. 116, Issue D14
  • DOI: 10.1029/2010JD015124

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

Error Characteristics of Two Grid Refinement Approaches in Aquaplanet Simulations: MPAS-A and WRF
journal, September 2013


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


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

Sensitivity of Idealized Squall-Line Simulations to the Level of Complexity Used in Two-Moment Bulk Microphysics Schemes
journal, June 2012

  • Van Weverberg, Kwinten; Vogelmann, Andrew M.; Morrison, Hugh
  • Monthly Weather Review, Vol. 140, Issue 6
  • DOI: 10.1175/MWR-D-11-00120.1

Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations
journal, March 2008


A Theory for Buoyancy and Velocity Scales in Deep Moist Convection
journal, November 2009

  • Parodi, Antonio; Emanuel, Kerry
  • Journal of the Atmospheric Sciences, Vol. 66, Issue 11
  • DOI: 10.1175/2009JAS3103.1