INGV How the dynamics of the Indian Ocean influences the...
Transcript of INGV How the dynamics of the Indian Ocean influences the...
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How the dynamics of theIndian Ocean influences the
evolution of the Indian summer monsoon
Indian Ocean Modeling Workshop, 29 November - 3 December, Honolulu, HI
Annalisa Cherchi(1), S. Gualdi(1), S. Behera(2), J.-J. Luo(2),S. Masson(2), T. Yamagata(2) and A. Navarra(1)
(1) National Institute of Geophysics and Volcanology, Bologna, Italy(2) Frontier Research System for Global Change, Yokohama, Japan
INGV
FRSGC
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Main themes
Seasonal variability of temperature and wind over the Indian Ocean and over India: the growth of the Indian summer monsoon
The interannual variability of SST over the Indian Ocean and interannualvariability of the Indian summer monsoon: connections ?
The analyses have been made comparing amip-type and coupled model experiments at high resolution
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Models used & Experimentsperformed
Atmosphere: Echam4Developed at MPI in Hamburg
Spectral model Horizontal resolution: T106
Vertical resolution: 19 sigma layersMessage Passing Interface version
(Roeckner et al., 1996)
Ocean: OPA 8.2 Developed at LODYC in Paris
Free surfaceVertical resolution: 31 levels
(10 in the first 100m)Horizontal resolution: 2x1.5deg (0.5 deg around the Equator)
(Madec et al., 1998)
Coupler: OASIS 2.4 Developed at CERFACS in Toulouse
Message passing based on MPI2(Valcke et al., 2000)
AGCM: exp at T106 with observed SST (1956-2001)
CGCM: exp at T106 for 100 yrs
SST Wind & Fluxes
SINTEX-F CGCM(Luo et al., 2004)
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Datasets for comparison
SST (Sea Surface Temperature) from HadSST1.1 1955-2002 (Rayner et al., 1997)
Surface land T from CRU 1955-2000 (Mitchell et al., 2004)
Total precipitation from CMAP dataset 1979-2002 (Xie and Arkin, 1996)
Winds (850 and 200 mb) from ERA40 reanalysis 1958-2001 (http://www.ecmwf.int)
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Seasonal mean surf T (deg C)
CRU (1955-2000) Amip exp (1956-2001) Coupled exp
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Seasonal mean SST (deg C)
HadISST (1955-2002) Amip exp (1956-2001) Coupled exp
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Seasonal 1000 mb wind (m/sec)Coupled expAmip exp (1956-2001)ERA40 (1958-2001)
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JJA 850mb moisture transport (m/sec) & water flux (mm/day, E-P)
ERA40 (1958-2002)
Amip exp (1956-2001)
Coupled exp
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XieArkin (1979-2002)
Amip exp (1956-2001)
Coupled exp (52 yrs)
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JJA total precipitation (mm/day)
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Mean JJA 850 mbwind (m/sec)
-5
-4
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(1)
(2)
Monsoon index: Seasonal mean (typically summer) of a field
(circulation-based and precipitation-based indices)
averaged over a particular area
IMI:Mean JJA U850(1)-U850(2)
Wang et al., 2001
Linear correlation: IMI vs JJA TPREP
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Strong minus weak JJA 850 mb wind (m/sec)
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Strong minus weak JJA SST (C deg)
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JJA tprep anom (mm/day) regressed to JJA SSTA averaged over 55-75E, 10-25N
Amip exp
Coupled exp
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Coupled Manifold tecnique
A new method to detect the portion of variability connected between two climatic fields following the Procrustes formulation, that is a method to analyze covariation between fields.
min||Z-AS||²= 0 A=(ZS‘)(SS‘) -1Z = AS the atmospheric field is some linear combination of the SST field
Zfor = AS Forced Manifold is the subspace where variation of one field are connected to variations of the other field
Zfree = Z-AS Free Manifold is the subspace where variations are indipendent
Mathematical formulation:
SimilarlyS = BZ
Using the operators A and B each field can be separated into 2 parts:
The “Coupled Manifold” is the ratio of forced manifold to the total, it represents thepercentage of variance of an atmospheric field explained by the SST field
From Navarra and Tribbia, 2004(in press on JAS)
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% of variance of tprep anom explained by Indian Ocean SST(Coupled Manifold)
Amip exp
Coupled exp
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Conclusions
A coupled model experiment is able to reproduce the Indian summer monsoon precipitation in a more realistic way respect to an atmospheric model experiment forced with observed SST.
The Indian monsoon index defined by Wang et al.,2001 as the difference of the low-level zonalwind over two specific regions over India has been found to be good to represent the sequence between strong and weak Indian monsoon years.
The variability of the Indian monsoon affect the precipitation and circulation also far from the zone of interest. These spatial teleconnections are well reproduced by the model experiments.
A statistic method (coupled manifold) have been used to measure the variance of precipitation anomalies over India explained by SST over the Indian Ocean.
In an amip-type exp the explained variance is more than 60% over the western continent and in the Bay of Bengal. In a coupled model experiments the variance is more than 60% only over the eastern Indian Ocean.
Typically over the Indian continent the variance of precipitation explained by SST over the Indian Ocean is around 30-40%.