G= · 2020-04-24 · 1950 1970 1990 2010 9 9.2 9.4 9.6 9.8 10 0° 60°E 120°E 180° 120°W 60°W...

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Introduction into Dynamic mode Decomposition CD MD ) × time series Xj & & , 0 @ I I I I I I I I I I in st t trajectory - wise picture : Jc = fax ) Kool - - Sco 1- finite dimensional . . - nonlinear Koopman - operator : observable ICI ) X-p c) = . if exit ) ) - infinite dimensional Kt : Koopman operator t linear Dynamic Mode Decomposition X = ( Tifton Tigh . . . .ie , ¥ m ) K' " is a good approximate of the Koopman opoofokg if X ! ( . . . , at , .si - - - - Fine . . , ) i ) data sufficiently spare ii ) data suffices the rich E eigenfunctions of Khem X ' . X - s Ko 's X' Xt span of ITH it ) is hardly ever satisfied and also not a priori verifiable Reconstruction of dynamics outwit . II of . ewikstb ; + c. c . K' " ol ; = A . w ; - - lnhilst good for short times C " linear " ) needs good truncation v St needs to be adapted to characters - hi timescale

Transcript of G= · 2020-04-24 · 1950 1970 1990 2010 9 9.2 9.4 9.6 9.8 10 0° 60°E 120°E 180° 120°W 60°W...

Page 1: G= · 2020-04-24 · 1950 1970 1990 2010 9 9.2 9.4 9.6 9.8 10 0° 60°E 120°E 180° 120°W 60°W 0° 80°S 40°S 0° 40°N 80°N -300-250-200-150-100-50 0 50 100 150. Created Date:

Introduction intoDynamic

modeDecomposition CD MD )

×

time series Xj

&

&

,

0

@

I I I I I I I I I I

in

stt

trajectory- wise picture

: Jc = fax ) Kool -

-

Sco

1- finitedimensional

..

-nonlinear

Koopman-

operator: observable ICI ) X-p c) =

. if exit ) )

- infinite dimensionalKt

:

Koopman operatort linear

DynamicMode Decomposition

X = (Tifton Tigh . ..

.

.ie

,

¥m)

K'"

is a good approximate

ofthe

Koopmanopoofokg if

X!

( 9¥. .

.,

at,.si

- - --

- Fine. .

, )i) data sufficiently spare

ii ) datasufficesthe

rich

E eigenfunctions ofKhem

X

'

. X - s Ko's X' Xt span of

ITH

it) is hardlyever satisfied

and

also not a priori verifiable

Reconstruction of dynamics

outwit . II of.

ewikstb;

+ c. c.

K'"

ol;

= A ;¢.

w

;-

- lnhilst

good forshort times C

"

linear"

)

• needsgood

truncation v

• St needs to be adapted to characters-

hi timescale

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MainMenage

:

fast transitory dynamics

* aan

Transitionstypically

occur on timescales faster

than the timescaleof

the equilibrium dynamics .

A samplingSt chosen to

compute K'M

maynot

be sufficient to resolve the transientdynamics

and hence DMD - reconstructionmay

be

bad .

( Gottwald &Gugole , y

stat Phys .

2019 )

tested for artificialdata

frantee Kurama to - Siu shu's

ly

equation ,and fer

NCE P re

analytesdata

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60°W

35°W 10°W 1

5°E

40°E

36°N

48°N

60°N

72°N

84°N

60°W

35°W 10°W

15°E

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36°N

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84°N

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-50

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60°W

35°W 10°W 1

5°E

40°E

36°N

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60°N

72°N

84°N

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35°W 10°W

15°E

40°E

36°N

48°N

60°N

72°N

84°N

-200

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-50

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NCEP reanalysis data: Northern Hemisphere

E(tk, r) =1

m

m�1X

l=0

kx(tk+l)� � exp(⌦l�t)bk � c.ckReconstruction error:

1950 1970 1990 20104

5

6

7

8

9

reanalysis DMD reconstruction

large-scale regime change in the 1970s

transition from a predominantly negative NAO phase to a predominantly positive NAO phase

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1950 1970 1990 20109

9.2

9.4

9.6

9.8

10

0° 60°E 120°E 180° 120°W 60°W 0°

80°S

40°S

40°N

80°N

-300

-250

-200

-150

-100

-50

0

50

100

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0° 60°E 120°E 180° 120°W 60°W 0°

80°S

40°S

40°N

80°N

-250

-200

-150

-100

-50

0

50

100

150

200

250

NCEP reanalysis data: Southern Hemisphere

E(tk, r) =1

m

m�1X

l=0

kx(tk+l)� � exp(⌦l�t)bk � c.ckReconstruction error:

reanalysis DMD reconstruction

large-scale regime change in the 1970sSignificant decrease of frequency of blocking events around the mid 1970s and more

zonal flow