3 - CAMILLONI La Plata Basin 2019 - abc.org.br · Title: Microsoft PowerPoint - 3 - CAMILLONI_La...

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10/06/2019 1 Hydrological Impacts of Solar Radiation Management in La Plata Basin Inés Camilloni International Symposium on Climate Geoengineering, ACB Rio de Janeiro, 10-11 June 2019 Centro de Investigaciones del Mar y la Atmósfera (CIMA) University of Buenos Aires - (CONICET) Buenos Aires, Argentina La Plata Basin (LPB) Climate Change in LPB LPB DECIMALS Project: Motivation 01 02 03 04 05 LPB DECIMALS Project: Goals LPB DECIMALS Project: Preliminary results 1 2

Transcript of 3 - CAMILLONI La Plata Basin 2019 - abc.org.br · Title: Microsoft PowerPoint - 3 - CAMILLONI_La...

Page 1: 3 - CAMILLONI La Plata Basin 2019 - abc.org.br · Title: Microsoft PowerPoint - 3 - CAMILLONI_La Plata Basin_2019 Author: ferna Created Date: 6/10/2019 4:00:37 PM

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Hydrological Impacts of Solar Radiation Management in La Plata Basin

Inés Camilloni

International Symposium on Climate Geoengineering, ACBRio de Janeiro, 10-11 June 2019

Cent

ro d

e In

vest

igac

ione

s de

l Mar

y la

Atm

ósfe

ra (C

IMA)

Uni

vers

ityof

Buen

os A

ires

-(C

ON

ICET

)Bu

enos

Aire

s, A

rgen

tina

La Plata Basin (LPB)

Climate Change in LPB

LPB DECIMALS Project: Motivation

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02

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LPB DECIMALS Project: Goals

LPB DECIMALS Project: Preliminary results

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Climate Change in La Plata Basin La Plata Basin01

5 CountriesEconomic activities rely on

water availability: agriculture,

river navigability and hydroelectric production

MAIN RIVERSParaná 17,000 m3/s Uruguay 5,500 m3/s Paraguay 4,300 m3/s

• 3.1 million km2

• +150 million inhabitants• 75 dams• +30 large hydropower plants• varied ecosystems

FEATURES

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Climate Change in La Plata Basin

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Precipitation Change (mm/day) 1981-2010 - 1901-1950

wetter conditions

Zhang et al. (2016)

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Zhang et al. (2016)

Precipitation Change (mm/day) 1981-2010 - 1901-1950 - FORCINGS

The positive trend is attributed to radiative forcing changes associated with increasing concentrations of well-mixed GHG

Also positive trends in many other variables relevant for socio-economic activities: river flows and floods as well as extreme temperatures.

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Precipitation Change (mm/day) 2070-2100 - 1901-1950 - RCP8.5

Zhang et al. (2016)

IPCC (2018)

Precipitation (%) and Temperature (C) Change 1.5C & 2C global warming worlds

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Betts et al. (2018)

Changes in mean flows under 1.5C and 2 C global warming scenarios

Researchers: Carla Gulizia, Natalia Montroull, Ramiro Saurral, Inés Camilloni (PI) (UBA/CONICET)Research collaborators: Simone Tilmes (NCAR), Pete Irvine (Harvard University)

http://www.srmgi.org/decimals-fund/the-projects/argentina/

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LPB DECIMALS Project: Motivation

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C

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NDCsCurrent pathway 1.5C-2C

3.3C4.2C

Projected global warming by the end of 21st century above thepreindustrial period

Target

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Conceptual pathways to limit global warming to 1.5C

IPCC (2018)

Projected regional hydrology impacts over LPB for 1.5°C global warming above the preindustrial level (no overshoot)

Montroull et al. (2018)

RCP4.5

RCP8.5

climate modelsX median

climate modelsX median

Projected streamflow changes (%)

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Conceptual pathways to limit global warming to 1.5C

IPCC (2018)

Conceptual pathways to limit global warming to 1.5C

SRM?

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GEOMIP1 – G4 Stratospheric SO2 injection

Changes in Precipitation (P), Evaporation (E), (P-E) and runoff betweenG4 and RCP4.5 for 2030-2069

Wei et al. (2018)

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Wei et al. (2018)

Annual mean flow

Changes in streamflow indicators between G4 and RCP4.5 for 2030-2069

Extreme high flow

Extreme low flow

04 LPB DECIMALS Project: Goals

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The objective of this project is to assess the possible effects of SRM in the hydroclimate of LPB:

- temperature- precipitation- evapotranspiration - runoff - river discharges

Also,- extreme temperatures and precipitation - extreme streamflow (flood frequency & duration)

CLIMATE

SimulationsGLENS and GeoMIP G4

ObservationsCLARIS and WATCH

VariablesDaily Precip, Tmax,

Tmin

Bias correctionISIMIP method

HYDROLOGICAL IMPACTS (i.e. RCPs vs. GeoEng, Feedback vs. Control)

CLIMATE IMPACTS (i.e. RCPs vs. GeoEng, Feedback vs. Control)

VIC hydrologic modelAnalysis of runoff, ET,

streamflow, floods

Mean and Extremes T & Precip, ETCCDI Indices

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Large-scale, semi-distributed hydrological model(University of Washington)

Resolution:0.125 x 0.125

Time step:Land-atmosphere fluxes, and the water and energy balances at the land surface, are simulated at a daily time step

• Grid cells are simulated independently of each other

• Routing of streamflow is performed separately from the land surface simulation, using a separate model

Hydrologic Impacts: Variable Infiltration Capacity (VIC) Hydrologic Model

Paraguay River• Ladario• Asunción

Paraná River• Jupiá• Itaipú• Posadas• Corrientes

Uruguay River• Paso de los Libres• Salto Grande

Iguazú River• Salto Caxias

Corrientes

Jupiá

Ladario

Meteorological data Daily gridded precipitation Daily gridded Tmax and Tmin

Soil data 5-min Global Soil Data Task

dataset from the Distributed Active Archive Center (2000)

Vegetation data University of Maryland`s 1-km Global Land Cover product (Hansen et al. 2000)

INPUT

Daily/monthly streamflow at closing points

Daily/monthly gridded runoff, evapotranspiration, etc.

OUTPUT

CLOSING POINTS

Posadas

Paso de los Libres

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05 LPB DECIMALS Project: Preliminary results

Annual precipitation(mm/day)

1981-1990 calibration period1991-2000 validation period

OBS.

Raw

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Annual precipitation(mm/day)

1981-1990 calibration period1991-2000 validation period

OBS.

Bias

corr

ecte

dRa

w

-60

-40

-20

0

20

40

60

2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Uruguay River @Salto Grande

RCP4.5 G4

CSIRO Mk3L-1-2

-60

-40

-20

0

20

40

60

2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Uruguay River @Salto Grande

RCP4.5 G4

MIROC-ESM

Uruguay River - Streamflow change (%) – Reference period: 1991-2000

Paso de los Libres

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-60

-40

-20

0

20

40

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2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

CSIRO Mk3L-1-2

-60

-40

-20

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20

40

60

2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

MIROC-ESM

Paraná River - Streamflow change (%) – Reference period: 1991-2000

Paso de los Libres

-60

-40

-20

0

20

40

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2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Uruguay River @Salto Grande

RCP4.5 G4

CSIRO Mk3L-1-2

-60

-40

-20

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20

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2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

CSIRO Mk3L-1-2

G4

Expe

rmie

ntvs

. 199

1-20

00

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-60

-40

-20

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20

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2021-2045 2046-2070

Stre

amflo

w c

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Uruguay River @Salto Grande

RCP4.5 G4

CSIRO Mk3L-1-2

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2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

CSIRO Mk3L-1-2

RCP4

.5 v

s. 1

991-

2000

-60

-40

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2021-2045 2046-2070

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amflo

w c

hang

e (%

)

Uruguay River @Salto Grande

RCP4.5 G4

CSIRO Mk3L-1-2

G4

Expe

rimen

tvs.

RCP

4.5

-60

-40

-20

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20

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2021-2045 2046-2070

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w c

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e (%

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Paraná River @Itaipú

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CSIRO Mk3L-1-2

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-60

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Uruguay River @Salto Grande

RCP4.5 G4

MIROC-ESM

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amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

MIROC-ESM

G4

Expe

rmie

ntvs

. 199

1-20

00

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2021-2045 2046-2070

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e (%

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Uruguay River @Salto Grande

RCP4.5 G4

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2021-2045 2046-2070

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amflo

w c

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Paraná River @Itaipú

RCP4.5 G4

MIROC-ESM

RCP4

.5 v

s. 1

991-

2000

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-60

-40

-20

0

20

40

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Stre

amflo

w c

hang

e (%

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Uruguay River @Salto Grande

RCP4.5 G4

MIROC-ESM

G4

Expe

rimen

tvs.

RCP

4.5

-60

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2021-2045 2046-2070

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amflo

w c

hang

e (%

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Paraná River @Itaipú

RCP4.5 G4

MIROC-ESM

-60

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-20

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20

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amflo

w c

hang

e (%

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Uruguay River @Salto Grande

RCP4.5 G4

CSIRO Mk3L-1-2

-60

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2021-2045 2046-2070

Stre

amflo

w c

hang

e (%

)

Paraná River @Itaipú

RCP4.5 G4

CSIRO Mk3L-1-2

CSIR

O M

k3L-

1-2

vs. M

IRO

C ES

M

-60

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amflo

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hang

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Uruguay River @Salto Grande

RCP4.5 G4

MIROC-ESM

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amflo

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Paraná River @Itaipú

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MIROC-ESM

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Thank you!

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