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Title: High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation

Abstract

A newly reprocessed, bias-corrected version of hourly satellite observations that provides global coverage of precipitation at high space-time resolution is evaluated and compared with climate model simulations. Irregular subdaily fluctuations are the dominant component around the world, greater than variance of daily mean precipitation, and much greater than variance associated with the mean diurnal cycle of precipitation. Irregular subdaily fluctuations of precipitation are severely underestimated by models, even after taking into account the observational “error bars” implied by different space-time resolutions. Variance of daily mean precipitation is less severely underestimated. Although mean diurnal cycle amplitudes vary among the models, this component is but a small part of total precipitation variance. Therefore, the total precipitation variance is significantly underestimated by models in general. Further exploration of model-data discrepancies in precipitation at high-time frequency may lead to new and useful climate model diagnostics.

Authors:
ORCiD logo [1];  [1];  [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]
  1. Program for Climate Model Diagnosis and IntercomparisonLawrence Livermore National Laboratory Livermore CA USA
  2. Climate Analysis Section/Climate and Global Dynamics LaboratoryNational Center for Atmospheric Research Boulder CO USA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1483348
Alternate Identifier(s):
OSTI ID: 1483349; OSTI ID: 1491644
Report Number(s):
LLNL-JRNL-751673
Journal ID: ISSN 0094-8276
Grant/Contract Number:  
DE‐ SC0012711; DE‐AC52‐07NA27344; AC52-07NA27344
Resource Type:
Journal Article: Published Article
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Name: Geophysical Research Letters Journal Volume: 45 Journal Issue: 22; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Covey, Curt, Doutriaux, Charles, Gleckler, Peter J., Taylor, Karl E., Trenberth, Kevin E., and Zhang, Yongxin. High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation. United States: N. p., 2018. Web. doi:10.1029/2018GL078926.
Covey, Curt, Doutriaux, Charles, Gleckler, Peter J., Taylor, Karl E., Trenberth, Kevin E., & Zhang, Yongxin. High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation. United States. doi:10.1029/2018GL078926.
Covey, Curt, Doutriaux, Charles, Gleckler, Peter J., Taylor, Karl E., Trenberth, Kevin E., and Zhang, Yongxin. Mon . "High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation". United States. doi:10.1029/2018GL078926.
@article{osti_1483348,
title = {High‐Frequency Intermittency in Observed and Model‐Simulated Precipitation},
author = {Covey, Curt and Doutriaux, Charles and Gleckler, Peter J. and Taylor, Karl E. and Trenberth, Kevin E. and Zhang, Yongxin},
abstractNote = {A newly reprocessed, bias-corrected version of hourly satellite observations that provides global coverage of precipitation at high space-time resolution is evaluated and compared with climate model simulations. Irregular subdaily fluctuations are the dominant component around the world, greater than variance of daily mean precipitation, and much greater than variance associated with the mean diurnal cycle of precipitation. Irregular subdaily fluctuations of precipitation are severely underestimated by models, even after taking into account the observational “error bars” implied by different space-time resolutions. Variance of daily mean precipitation is less severely underestimated. Although mean diurnal cycle amplitudes vary among the models, this component is but a small part of total precipitation variance. Therefore, the total precipitation variance is significantly underestimated by models in general. Further exploration of model-data discrepancies in precipitation at high-time frequency may lead to new and useful climate model diagnostics.},
doi = {10.1029/2018GL078926},
journal = {Geophysical Research Letters},
issn = {0094-8276},
number = 22,
volume = 45,
place = {United States},
year = {2018},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1029/2018GL078926

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: Orthogonal Components of Variance, Averaged over Ocean and Land Areas* (standard deviations in mm/day)

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Works referenced in this record:

Precipitation variability increases in a warmer climate
journal, December 2017


Near-Global Covariability of Hourly Precipitation in Space and Time
journal, April 2018


The diurnal temperature range in the CMIP5 models
journal, April 2014


Change in climate variability in the 21st century
journal, February 1989

  • Rind, D.; Goldberg, R.; Ruedy, R.
  • Climatic Change, Vol. 14, Issue 1
  • DOI: 10.1007/BF00140173

How Often Does It Really Rain?
journal, February 2018

  • Trenberth, Kevin E.; Zhang, Yongxin
  • Bulletin of the American Meteorological Society, Vol. 99, Issue 2
  • DOI: 10.1175/BAMS-D-17-0107.1

Hurricane Harvey Links to Ocean Heat Content and Climate Change Adaptation
journal, May 2018

  • Trenberth, Kevin E.; Cheng, Lijing; Jacobs, Peter
  • Earth's Future, Vol. 6, Issue 5
  • DOI: 10.1029/2018EF000825

XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
journal, January 1919


Evaluation of Historical Diurnal Temperature Range Trends in CMIP5 Models
journal, November 2013


Dreary state of precipitation in global models: MODEL AND OBSERVED PRECIPITATION
journal, December 2010

  • Stephens, Graeme L.; L'Ecuyer, Tristan; Forbes, Richard
  • Journal of Geophysical Research: Atmospheres, Vol. 115, Issue D24
  • DOI: 10.1029/2010JD014532

How Often Does It Rain?
journal, March 2006

  • Sun, Ying; Solomon, Susan; Dai, Aiguo
  • Journal of Climate, Vol. 19, Issue 6
  • DOI: 10.1175/JCLI3672.1

An Overview of CMIP5 and the Experiment Design
journal, April 2012

  • Taylor, Karl E.; Stouffer, Ronald J.; Meehl, Gerald A.
  • Bulletin of the American Meteorological Society, Vol. 93, Issue 4
  • DOI: 10.1175/BAMS-D-11-00094.1

Comparison of Global Precipitation Estimates across a Range of Temporal and Spatial Scales
journal, November 2016

  • Gehne, Maria; Hamill, Thomas M.; Kiladis, George N.
  • Journal of Climate, Vol. 29, Issue 21
  • DOI: 10.1175/JCLI-D-15-0618.1

MIROC4h^|^mdash;A New High-Resolution Atmosphere-Ocean Coupled General Circulation Model
journal, January 2012

  • T. Sakamoto, Takashi; Komuro, Yoshiki; Nishimura, Teruyuki
  • Journal of the Meteorological Society of Japan. Ser. II, Vol. 90, Issue 3
  • DOI: 10.2151/jmsj.2012-301

Do Convection-Permitting Regional Climate Models Improve Projections of Future Precipitation Change?
journal, January 2017

  • Kendon, Elizabeth J.; Ban, Nikolina; Roberts, Nigel M.
  • Bulletin of the American Meteorological Society, Vol. 98, Issue 1
  • DOI: 10.1175/BAMS-D-15-0004.1

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges
journal, May 2015

  • Prein, Andreas F.; Langhans, Wolfgang; Fosser, Giorgia
  • Reviews of Geophysics, Vol. 53, Issue 2
  • DOI: 10.1002/2014RG000475

Intermittency in Precipitation: Duration, Frequency, Intensity, and Amounts Using Hourly Data
journal, May 2017

  • Trenberth, Kevin E.; Zhang, Yongxin; Gehne, Maria
  • Journal of Hydrometeorology, Vol. 18, Issue 5
  • DOI: 10.1175/JHM-D-16-0263.1

Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications
journal, December 2007

  • Tian, Yudong; Peters-Lidard, Christa D.; Choudhury, Bhaskar J.
  • Journal of Hydrometeorology, Vol. 8, Issue 6
  • DOI: 10.1175/2007JHM859.1

Atmospheric Tides in the Latest Generation of Climate Models*
journal, June 2014

  • Covey, Curt; Dai, Aiguo; Lindzen, Richard S.
  • Journal of the Atmospheric Sciences, Vol. 71, Issue 6
  • DOI: 10.1175/JAS-D-13-0358.1

The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
journal, August 2015

  • Kay, J. E.; Deser, C.; Phillips, A.
  • Bulletin of the American Meteorological Society, Vol. 96, Issue 8
  • DOI: 10.1175/BAMS-D-13-00255.1

Reprocessed, Bias-Corrected CMORPH Global High-Resolution Precipitation Estimates from 1998
journal, June 2017

  • Xie, Pingping; Joyce, Robert; Wu, Shaorong
  • Journal of Hydrometeorology, Vol. 18, Issue 6
  • DOI: 10.1175/JHM-D-16-0168.1

Metrics for the Diurnal Cycle of Precipitation: Toward Routine Benchmarks for Climate Models
journal, June 2016

  • Covey, Curt; Gleckler, Peter J.; Doutriaux, Charles
  • Journal of Climate, Vol. 29, Issue 12
  • DOI: 10.1175/JCLI-D-15-0664.1

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

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      Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.