Application of
This presentation is the property of its rightful owner.
Sponsored Links
1 / 21

Application of MJO simulation diagnostics to climate model simulations PowerPoint PPT Presentation


  • 44 Views
  • Uploaded on
  • Presentation posted in: General

Application of MJO simulation diagnostics to climate model simulations. Authors.

Download Presentation

Application of MJO simulation diagnostics to climate model simulations

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Application of mjo simulation diagnostics to climate model simulations

Application of

MJO simulation diagnostics

to climate model simulations

Authors

Daehyun Kim1 , D. E. Waliser2, K. R. Sperber3 , L Donner4, J. Gottschalck5, H. H. Hendon6, W. Higgins5, I.-S. Kang1, E. D. Maloney7, M. W. Moncrieff8, S. Schubert9, W. Stern4, F. Vitart10 , B. Wang11, W. Wang5, K. M. Weickmann12, M. C. Wheeler6, S. Woolnough13,C. Zhang14, M. Khairoutdinov15, M.-I. Lee9, R. Neale8, D. Randall7, M. Suarez9, and G. Zhang16

Affiliations

1SEES/Seoul National University, Korea, 2JPL/California Institute of Technology, USA, 3PCMDI/Lawrence Livermore National Laboratory, USA, 4 GFDL/NOAA, USA, 5Climate Prediction Center/NCEP/NOAA, USA, 6Bureau of Meteorology Research Center, Australia, 7Colorado State University, USA 8National Center for Atmospheric Research, USA, 9Goddard Space Flight Center/NASA, USA 10European Centre for Medium-Range Weather Forecasts, UK, 11IPRC/University of Hawaii, USA, 12Climate Diagnostics Center/NOAA, USA, 13Univertisy of Reading, UK, 14RSMAS/University of Miami, USA, 15Stony Brook University, USA, 16Scripps Institution of Oceanography, USA


Application of mjo simulation diagnostics to climate model simulations

Motivation

31Dec92

VP200, ECMWF forecast

01Feb93

Vitart et al. (2007)


Application of mjo simulation diagnostics to climate model simulations

MJO Variance(eastward wavenumber 1-6, periods 30-70days)

(Lin et al. 2006)

* Only 2 models have comparable amplitude to OBS

(IPCC AR4 14 models)

Motivation


Application of mjo simulation diagnostics to climate model simulations

MJO Simulation Diagnostics - Web site

MJO Simulation Diagnostics: http://climate.snu.ac.kr/mjo_diagnostics/index.htm

General

Strategy

&

Description

Calculation codes and example data

- Needs feedback


Application of mjo simulation diagnostics to climate model simulations

Questions & Points

1. How well the current climate models simulate MJO?

Large-scale circulation vs. Convection

(850hPa zonal wind) (Precipitation)

2. What are the shortcomings of the models (models’ convection)?

PBL convergence - PRCP

Relative Humidity – PRCP (Trigger function)

Questions


Application of mjo simulation diagnostics to climate model simulations

US CLIVAR MJO WG models

Climate models

*: flux adjustment for heat and fresh water


Application of mjo simulation diagnostics to climate model simulations

Results: 20-100 day filtered variance

U850

Mass flux

AGCM

Super param.

AGCM

Mass flux

CGCM


Application of mjo simulation diagnostics to climate model simulations

Results: 20-100 day filtered variance

PRCP

Mass flux

AGCM

Super param.

AGCM

CGCM


Application of mjo simulation diagnostics to climate model simulations

Results: Space -Time power spectrum

Nov-Apr

Shading: PRCP

Contour: U850


Application of mjo simulation diagnostics to climate model simulations

Results: Space -Time power spectrum

Nov-Apr

Shading: PRCP

Contour: U850


Application of mjo simulation diagnostics to climate model simulations

1996 : AMIP models

Wavenumber 1 power spectra for 200hPa velocity potential

OBS

(Slingo et al. 1996)

* Spectral peak in 30-70 day period is NOT appeared in models


Application of mjo simulation diagnostics to climate model simulations

Results: EOF 1st mode (20-100day filtered)

Nov-Apr

Shading: PRCP

Contour: U850


Application of mjo simulation diagnostics to climate model simulations

Results: EOF 1st mode (20-100day filtered)

Nov-Apr

Shading: PRCP

Contour: U850


Application of mjo simulation diagnostics to climate model simulations

Interpretation

MJO signal in large-scale circulation

(850hPa zonal wind)

MJO signal in convection

(precipitation)

Improper relationship between them?

Are they maintained in different way from observation?


Application of mjo simulation diagnostics to climate model simulations

PRCP - PBL convergence

Mass flux

CGCM

Correlation map between PRCP and 925hPa convergence

(20-100day filtered): initiation and strength


Application of mjo simulation diagnostics to climate model simulations

Lag Correlation between PRCP and convergence

Wavenumber-frequency spectrum

CCM3.6 control

CMAP

Observation

CCM3.6 with McRAS

CCM3.6+Hack

CCM3.6+McRAS

MJO signal

Maloney (2002)

Maloney and Hartmann (2001)

PRCP - PBL convergence

Unrealistic phase relationship instead of improved MJO variability


Application of mjo simulation diagnostics to climate model simulations

Composite RH based on PRCP

Pressure

ERA40/GPCP

SPCAM

PRCP intensity

Warm Pool region

(50E-180E, 15S-15N)

from Prof. David A. Randall’s

presentation at MJO Workshop (Nov. 2007)

CAM


Application of mjo simulation diagnostics to climate model simulations

Composite RHbased on PRCP

Pressure

PRCP intensity

Warm Pool region

(50E-180E, 15S-15N)


Application of mjo simulation diagnostics to climate model simulations

Conclusion & Discussions

  • 1. Standardized diagnostics are objectively developed by MJO working group for MJO simulation of climate model simulations(J. Climate, to be submitted).

  • website: http://www.usclivar.org/Organization/MJO_WG.html

  • 2. As a baseline of future studies, developed diagnostics are applied to 3 coupled and 5 uncoupled climate model simulations.

  • 3. The applied diagnostics reasonably captured models characteristics related with MJO simulation.

    • Model’s sub-seasonal variability strongly depends on the detail implementation of convection scheme

    • The current state-of-the-art climate models can reproduce eastward propagation of lower level zonal wind


Application of mjo simulation diagnostics to climate model simulations

Conclusion & Discussions

  • 3. Overall comparisons reveal that ECHAM4/OPYC and SPCAM have relatively better skill among the models. ECHAM4/OPYC produces very reasonable mean state with flux adjustment process. Convection is represented in more explicit manner in SPCAM (superparameterization).

  • 4. MJO signal in 850hPa zonal wind is generally better than that of precipitation in terms of i) variance ii) peaks in spectra and iii) eastward propagation.

  • 5. Diabatic heating (rainfall) is more difficult variable to simulate than large scale circulation field although heating and circulation are closely linked together. It will be tracked from this study what change or development can overcome this paradox.


Application of mjo simulation diagnostics to climate model simulations

Thank you!


  • Login