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Stephen W. Bieda III ATMO 529: OBJ ANALY/ATMO+REL SCI 5 December 2007

Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

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Stephen W. Bieda III ATMO 529: OBJ ANALY/ATMO+REL SCI 5 December 2007. Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode. Motivation for Research. - PowerPoint PPT Presentation

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Page 1: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Stephen W. Bieda IIIATMO 529: OBJ ANALY/ATMO+REL SCI

5 December 2007

Page 2: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

The Combined Pacific Variability Mode (henceforth CPVM) has a known relationship with NAMS variability at onset. (referenced in Castro et al. 2007, J. Climate)

Further research by Bieda et al. 2007 suggests that the CPVM has a known relationship with transient inverted troughs during the North American Monsoon Season (NAMS). Negative (positive) CPVM provides more (less) of these transient features during the season, with more (less) precipitation falling over a northward (southward) deviated track.

A predictive seasonal parameter for the NAMS still has yet to be found.

Page 3: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Source: NAME Science Plan 2004

Page 4: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

CPVM – Combined Pacific Variability Mode: uses the two (2) rotated EOFs of global SSTs which are associated with interannual and interdecadal variability in the tropical Pacific Ocean. (referenced in Castro et al. 2007, J. Climate)

Page 5: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Source: Castro et al. (2007)

Page 6: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

CPVM Positive – CPVM Negative Years showing the basic principle

of onset relationship.

Page 7: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Time Frame: All year for ocean, JJA for Precipitation

Years covered: 1979 - 2006 Datasets Used:

International Comprehensive Ocean-Atmosphere Data Set (1979-2007): 1°x1° dataset of monthly Ocean SSTs

North American Regional Reanalysis (1979- 2006): 0.3°x0.3° dataset of monthly precipitation

Region covered: NARR - boundaries were 10N – 42N, 122W –

90W (NAME Tier II).

Page 8: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Convert the summer precipitation totals to SPI over the Tier II domain.

Perform the REOF analysis of global SSTs by the methods of Castro et al. (2007a,b).

Lag the dominant modes of SSTs (i.e. JFM, FMA, etc.), to perform a “hindcast” of an averaged monsoon season.

Page 9: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode
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I’m not convinced that I personally calculated the CPVM correctly, due to the results that were generated.

The reason is that the correlation should be increasing over the area as we approach the NAM season, rather than remaining steady.

Page 16: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Work will continue to correct the mistakes made, and generate composites that will hopefully be more convincing.

Page 17: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Castro, C.L. R.A. Pielke Sr., J.O. Adegoke, 2007: Investigation of the Summer Climate of the Contiguous U.S. and Mexico Using the Regional Atmospheric Modeling System (RAMS). Part A: Model Climatology (1950-2002). J. Clim., 20, 3844-3865.  

Castro, C.L., R.A. Pielke Sr., J.O. Adegoke, S.D. Schubert, P.J. Pegion, 2007: Investigation of the Summer Climate of the Contiguous U.S. and Mexico Using the Regional Atmospheric Modeling System (RAMS). Part B: Model Climate Variability. J. Clim., 20, 3866-3887.

Mesinger, F., G. DiMego, E. Kalnay, K. Mitchell, P.C. Shafran, W. Ebisuzaki, D. Jovic, J. Woollen, E. Rogers, E.H. Berbery, M.B. Ek, Y. Fan, R. Grumbine, W. Higgins, H. Li, Y. Lin G. Manikin, D. Parrish, W. Shi, 2006: North American Regional Reanalysis. Bull. AMS, 87, 343-360.

North American Monsoon Experiment: Science and Implementation Plan 2004: NAME Science Working Group [Available on line at http://www.cpc.ncep.noaa.gov/products/precip/monsoon/NAME.html].

Worley, S.J., S.D. Woodruff, R.W. Reynolds, S.J. Lubker, and N. Lott, 2005: ICOADS Release 2.1 data and products. Int. J. Climatol. (CLIMAR-II Special Issue), 25, 823-842 (DOI: 10.1002/joc.1166).

Page 18: Seasonal Predictability of the North American Monsoon using the Combined Pacific Variability Mode

Thank you for your time.