Guimberteau m 20150708_1730_upmc_jussieu_-_room_207

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Transcript of Guimberteau m 20150708_1730_upmc_jussieu_-_room_207

matthieu.guimberteau@lsce.ipsl.fr

Future changes in extreme streamflow

over the Amazonian sub-basins

1119 (b) - Extreme hydrological events: deciphering

changes in hazard and risk at different time-scales

Matthieu Guimberteau (LSCE) J. Ronchail, J. C. Espinoza, M. Lengaigne, B. Sultan,

J. Polcher, G. Drapeau, J.-L. Guyot, A. Ducharne and P. Ciais

matthieu.guimberteau@lsce.ipsl.fr

Recent increase in discharge amplitude at Óbidos

High flows

Low flows

Mean flows

Update of Figure 2 from Callède et al. (2004, Hydrol. Sci. J.)

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Ronchail et al. (2014, Env. Géomatique)

Are present-time extreme discharges

precursors of future conditions in the Amazon basin?

Recent increase in discharge amplitude at Óbidos

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ORCHIDEE

Protocol

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Historical

meteorological

forcing

ORCHIDEE

Control simulation (1980-2000)

(Guimberteau et al., 2012,

Hydrol. Earth Syst. Sc.)

Protocol

matthieu.guimberteau@lsce.ipsl.fr

Future climate

change forcing

Historical

meteorological

forcing

ORCHIDEE

Climate

change

simulations

Control simulation (1980-2000)

(Guimberteau et al., 2012,

Hydrol. Earth Syst. Sc.)

Protocol

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8 GCMs

3 emission scenarios

Middle and end of the century

Future climate

change forcing

Historical

meteorological

forcing

ORCHIDEE

Climate

change

simulations

Control simulation (1980-2000)

(Guimberteau et al., 2012,

Hydrol. Earth Syst. Sc.)

Climatology of

GCMs outputs

anomalies

Delta downscaling method

Protocol

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8 GCMs

3 emission scenarios

Middle and end of the century

Future climate

change forcing

Historical

meteorological

forcing

ORCHIDEE

Climate

change

simulations

Control simulation (1980-2000)

(Guimberteau et al., 2012,

Hydrol. Earth Syst. Sc.) Impact of

climate

change on

discharge

Comparison

Climatology of

GCMs outputs

anomalies

Delta downscaling method

Protocol

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Sub-basin scale study

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Sub-basin scale study

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Present time Future time Relative difference (%)

Runoff coefficient change

P

QRcoeff

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Number of GCMs that project a P increase (2046–2065), SRESA1B scenario

Little change in average P

(+1.1%) but spatial variation !

Annual P change

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Number of GCMs that project a P increase in JJA (2046–2065), SRESA1B scenario

Most of the GCMs simulate a P

decrease in the southern regions

during the dry season

JJA P change

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Low-flow changes

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High-flow changes

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Streamflow elasticity to P changes

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No change in high flow of the Amazon

Systematic discharge decrease during the recession period,

leading to a 10% low-flow decrease

Conclusion

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No change in high flow of the Amazon

Systematic discharge decrease during the recession period,

leading to a 10% low-flow decrease

A high-flow increase is simulated in the western regions (+7%)

but with low confidence

In the north, the low-flow decrease becomes higher towards the

east (up to -55%)

Conclusion

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No change in high flow of the Amazon

Systematic discharge decrease during the recession period,

leading to a 10% low-flow decrease

A high-flow increase is simulated in the western regions (+7%)

but with low confidence

In the north, the low-flow decrease becomes higher towards the

east (up to -55%)

In the southern regions where the dry season would be longer

and more severe (Boisier et al, 2015, Nature Clim. Change), the

low flows would decrease by up to -50% in the south-east

Southern sub-basins with low runoff coefficient become more

responsive to P change

Deforestation is not taken into account in our study

Conclusion

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Thank you for your attention

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The ORCHIDEE model

Land surface model

LE, H, albedo, LAI ...

Meteorological dataset

P, Q, T,

radiation...

matthieu.guimberteau@lsce.ipsl.fr

The ORCHIDEE model

Energy model

+

Physically based soil hydrology scheme

Routing scheme

Surface runoff + deep drainage

Prescribed

distribution of the

vegetation

Floodplains

and swamps

River discharge

LE, H, albedo, LAI ...

Meteorological dataset

P, Q, T,

radiation...