DANIEL ALLASIA and CINTIA BERTACCHI UVO

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CLIMATIC INFLUENCE ON RIVER VARIABILITY DANIEL ALLASIA and CINTIA BERTACCHI UVO F R O M INSTITUTE FOR HYDRAULICS RESEARCH AND L U N D U N I V E R S I T Y

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CLIMATIC INFLUENCE ON RIVER VARIABILITY DANIEL ALLASIA and CINTIA BERTACCHI UVO F R O M INSTITUTE FOR HYDRAULICS RESEARCH AND L U N D U N I V E R S I T Y. DANIEL ALLASIA and CINTIA BERTACCHI UVO. - PowerPoint PPT Presentation

Transcript of DANIEL ALLASIA and CINTIA BERTACCHI UVO

Page 1: DANIEL ALLASIA and CINTIA BERTACCHI UVO

CLIMATIC INFLUENCE ON RIVER VARIABILITY

DANIEL ALLASIA and CINTIA BERTACCHI UVO

F R O M INSTITUTE FOR HYDRAULICS RESEARCH

AND L U N D U N I V E R S I T Y

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L U N D U N I V E R S I T Y

DANIEL ALLASIA and CINTIA BERTACCHI UVO

CLIMATIC INFLUENCE ON RIVER VARIABILITY

INSTITUTE FOR HYDRAULICS RESEARCH AND L U N D U N I V E R S I T Y

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L U N D U N I V E R S I T Y

River Basin

• Upper Paraguay River basin

• Memory

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L U N D U N I V E R S I T Y

River Data – standardized annual average

• River level at Ladário - green• Mean Annual Discharge

– Porto Murtinho– Cuiabá

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L U N D U N I V E R S I T Y

Climate indicators

• SAM – Southern Annular Mode (Thompson and Solomon, 2002)

• PDO – Pacific Decadal Oscillation (Mantua et al., 1997)

• NAO – North Atlantic Oscillation (Hurrell et al., 2002)

• ENSO – El Niño – Southern Oscillation (NINO3.4)

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L U N D U N I V E R S I T Y

Indices

SA

M

SAM

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

SAM

PD

O

PDO

-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

PDO

NA

O

NÃO

-1.5

-1

-0.5

0

0.5

1

1.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

NÃO

PD

O+

NA

O NÃO+PDO

-3

-2

-1

0

1

2

3

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

NÃO+PDO

NIN

O 3

.4

Nino3.4

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

Nino3.4

Ladá

rio

Ladario

0

50

100

150

200

250

300

350

400

450

500

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

Ladario

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L U N D U N I V E R S I T Y

Principal Components

First Component

Seco

nd C

om

ponent

0.60.50.40.30.20.10.0

0.75

0.50

0.25

0.00

-0.25

-0.50Nino3.4

NAO+PDO

Ladario

NAO

SAM

PDO

Loading Plot of PDO; ...; Nino3.4

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L U N D U N I V E R S I T Y

Monthly level forecast: Ladário

Forecast from

Equation E R2

Oct LJANt=0.55 LOUT

t-1+25.3 SAMAUGt-1+48.7 0.05 0.71

Sept LJANt=0.48 LSET

t-1+22.6 SAMAUGt-1+32.8 0.29 0.72

Oct LJUNt= -0.03LOUT

t-1+12.7SAMAugt-1 +

0.81LJUNt-1+86,673

0.10 0.74

Set - Aug LJUNt= -0.79 LJUN

t-1+13.03SAMAugt-1 +88.1 0.12 0.74

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L U N D U N I V E R S I T Y

Monthly level forecast: Ladário

0

100

200

300

400

500

600

1949 1959 1969 1979 1989 1999

ano

co

ta (

cm

)

Vazão prevista com indices climáticos

Vazão observada em Janeiro

Vazão prevista sem indices climáticos

o forecast level with climate index

+ forecast level without climate index

---- observed level

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L U N D U N I V E R S I T Y

Composites

• Monthly anomalous composites for circulation and precipitable water from NCEP Reanalysis

• SAM – ENSO effect extracted.• NAO• ENSO• PDO

-1std > SAM -1std < SAM < 1std SAM > 1std

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L U N D U N I V E R S I T Y

Composite – January SAM > 1 std

Precipitable Water Wind at 200hPa Wind at 850hPa

Janu

ary

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L U N D U N I V E R S I T Y

Composites – February SAM < -1std

Precipitable Water Wind at 200hPa Wind at 850hPa

Febr

uary

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L U N D U N I V E R S I T Y

Composites - February

• SAM < -1std SAM > 1std

Feb

ruar

y

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L U N D U N I V E R S I T Y

Anomalous composite: precipitable water

a) b)

• December NAO>1std January

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L U N D U N I V E R S I T Y

Anomalous composite: precipitable water

• February• NAO < -1std

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L U N D U N I V E R S I T Y

Standardize levels at Ladário and PDO

-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

Ano

1925 1947 1977 1999

_+ +

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L U N D U N I V E R S I T Y

Effect of climate phenomena on river level at Ladário

North Atlantic SST SALLJ Level Ladário Summer Winter ENSO + + + – ENSO - – + NAO + – o – NAO - + – – SAM + – + SAM - + – PDO + – PDO - + NAtl SST + – – NAtl SST - + +

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L U N D U N I V E R S I T Y

Relation to North Atlantic SST N

AO

NÃO

-1.5

-1

-0.5

0

0.5

1

1.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

NÃO

NIN

O 3

.4

Nino3.4

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

2.5

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

Nino3.4

Ladá

rio

Ladario

0

50

100

150

200

250

300

350

400

450

500

1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000

Ladario

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L U N D U N I V E R S I T Y

Conclusions: Climate Phenomena

• ENSO and NAO affects the Ladário level by monitoring the North Atlantic SST

• SAM affects Ladário level by monitoring the circulation

• PDO – long term signal influenced by the other phenomena.

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L U N D U N I V E R S I T Y

Conclusions: Statistical Modelling

• Linear regression capture the relationship with SAM

• Non-linear methods could better represent the non-linear relations among the other climate phenomena.