RSMAS MPO Student Seminar 2011

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RSMAS student seminar 2011

Transcript of RSMAS MPO Student Seminar 2011

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Chapter 1: Defining the Mid-Summer Drought Chapter 2: Mid-Summer Drought Forcings Chapter 3: Predictability for mid-summer rainfall Chapter 4: The Sequel

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Mr. Joseph Occupation: cabbage farmer Location: Flagaman, Jamaica

Martin Hilton Occupation: tomato farmer Location: Potsdam, Jamaica

Leroy Dixon Occupation: tomato / cassava farmer Location: Potsdam, Jamaica

Earl Bent Occupation: melon farmer Location: Top Hill, Jamaica

Donovan Campbell Occupation: PhD student Location: UWI Mona

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Intra-Americas Sea “Mid-Summer Drought”

The early and late summer is wet, but the middle of my

summer is usually hot and dry. What do you call this?

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This is what we think, but can you tell us what causes our mid-summer

drought?

* Courtesy of Donovan Campbell from The University of The West Indies at Mona

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El Nino composite precipitation time series

Some people tell me that the Pacific can influence our rainfall. Is this true?

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Sea level pressure (dry MSD composite)

Sea level pressure (wet MSD composite)

spring NAO pattern

Well, then does the Atlantic play a role

too?

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North Atlantic Subtropical High

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Allen et al. 2010

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Observed

A) Observed simultaneous and lagged covariance statistics are used to predict the future state of a dynamical system.

B) The state system described by the LIM is constructed based on physical mechanisms that govern the system.

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� �

*Alexander et al., 2008, Journal of Climate

( represents the best “forecast” for 𝑥(𝑡 + 𝜏 given 𝑥(𝑡 )

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2.

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STATE SYSTEM

Simultaneous and lagged covariance matrix

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5 x 5

matrix

SST SST

SLP SLPd

NAO NAOdt

precip precip

zonal wind zonal wind

( the observed simultaneous and lagged covariance statistics matrix )

( these are the state variables that describe the physical system )

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• Investigate MSD “regionality”

within the IAS with farmer

interviews in the eastern

Caribbean (hopefully this

summer)

• Improve our MSD conceptual

model

• Exploit the LIM method to

forecast mid summer rainfall

anomalies within the IAS

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