impact of large-scale climate extremes on biospheric ...2 4 6 8 10 12 14 16 2 4 6 8 10 12 14 16...

20
Impact of Large-Scale Climate Extremes on Biospheric Carbon Fluxes: An Intercomparison Based on MsTMIP Data AGU 2013 Jakob Zscheischler, Anna Michalak, Miguel Mahecha, Markus Reichstein, Christopher Schwalm, Yaxing Wei, MsTMIP team and data providers Carnegie Institution for Science, Department of Global Ecology Max Planck Institute for Biogeochemistry December 12, 2013 Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 1 / 17

Upload: others

Post on 10-Feb-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • Impact of Large-Scale Climate Extremes on BiosphericCarbon Fluxes:

    An Intercomparison Based on MsTMIP DataAGU 2013

    Jakob Zscheischler, Anna Michalak, Miguel Mahecha,Markus Reichstein, Christopher Schwalm, Yaxing Wei,

    MsTMIP team and data providers

    Carnegie Institution for Science, Department of Global EcologyMax Planck Institute for Biogeochemistry

    December 12, 2013

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 1 / 17

  • A Multi-scale Synthesis and Terrestrial ModelIntercomparison Project

    common experimental protocol for running > 20 Terrestrial BiosphereModels (TBMs)

    same set of driver data

    evaluate how structural differences in model design impact estimatesof carbon uptake and release

    [Huntzinger et al., GMDD 2013; Wei et al., GMDD, 2013]

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 2 / 17

  • A Multi-scale Synthesis and Terrestrial ModelIntercomparison Project

    common experimental protocol for running > 20 Terrestrial BiosphereModels (TBMs)

    same set of driver data

    evaluate how structural differences in model design impact estimatesof carbon uptake and release

    [Huntzinger et al., GMDD 2013; Wei et al., GMDD, 2013]

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 2 / 17

  • A Multi-scale Synthesis and Terrestrial ModelIntercomparison Project

    common experimental protocol for running > 20 Terrestrial BiosphereModels (TBMs)

    same set of driver data

    evaluate how structural differences in model design impact estimatesof carbon uptake and release

    [Huntzinger et al., GMDD 2013; Wei et al., GMDD, 2013]

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 2 / 17

  • Models, variables and resolution

    version: Global MsTMIP v1.0

    models used in this study (PI)

    biome-bgc (Weile Wang, [Thornton et al., 2002])clm (Dan Hayes, [Mao et al., 2011, 2012])clm4vic (Maoyi Huang, [Li et al., 2011])dlem (Hanqin Tian, [Tian et al., 2011, 2012])gtec (Daniel Riccuito)isam (Atul Jain)lpj (Benjamin Poulter, [Sitch et al., 2003])orchidee-lsce (Shushi Peng, [Krinner et al., 2005])vegas (Ning Zeng, [Zeng et al., 2005])visit (Akihiko Ito, [Ito, 2010])

    Gross Primary Production (GPP), Total Respiration (TR), NetEcosystem Exchange (NEE)

    0.5 degree spatial resolution, monthly temporal resolution, 1981-2010

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 3 / 17

  • Two perspectives: drivers and responses

    “Forward assessment”:identify climate extremes and analyze their impacts

    “Backward assessment”:identify extreme changes in carbon fluxes and analyze their causes

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 4 / 17

  • Definition of extreme events in climate drivers

    compute standardized precipitation index (SPI) at each pixel (timescale 3 months)

    compute standardized temperature index (STI, in the spirit of SPI) ateach pixel (time scale 1 month)

    define a value as extreme if it exceeds ±2

    4 categories of climate extremes:1 drought: SPI < −2 (-P),2 extremely wet period: SPI > 2 (+P),

    3 cold spell: STI < −2 (-T), and4 heat extreme: STI > 2 (+T).

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 5 / 17

  • Definition of extreme events in climate drivers

    compute standardized precipitation index (SPI) at each pixel (timescale 3 months)

    compute standardized temperature index (STI, in the spirit of SPI) ateach pixel (time scale 1 month)

    define a value as extreme if it exceeds ±2

    4 categories of climate extremes:1 drought: SPI < −2 (-P),2 extremely wet period: SPI > 2 (+P),

    3 cold spell: STI < −2 (-T), and4 heat extreme: STI > 2 (+T).

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 5 / 17

  • Definition of extreme events in carbon fluxes

    Let x denote the carbon flux of a certain month. Then define x as extremeif

    |x − x̄ | > 2σ(x)

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 6 / 17

  • Search for large spatiotemporally contiguous extremes

    For each variable, combine extremes that are contiguous in time or spaceto extreme events.

    lat

    lon

    Extreme events are sorted according to their size= integral of STI/SPI/C flux anomalies over spatiotemporal domain of theevent. [Zscheischler et al., Ecol. Inf., 2013; Zscheischler et al., ERL., 2013]

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 7 / 17

  • Forward analysis

    Impact of climate extremes on carbon fluxes averaged across models.

    −0.6

    −0.4

    −0.2

    0

    0.2

    0.4

    0.6

    −P ("drought")ch

    ange

    in fl

    ux in

    Pg

    C

    0 20 40 60 80 100

    −0.6

    −0.4

    −0.2

    0

    0.2

    0.4

    0.6

    −T ("cold spell")

    chan

    ge in

    flux

    in P

    g C

    climate event rank

    +P ("wet period")

    GPPTRNEE

    0 20 40 60 80 100

    +T ("heat wave")

    climate event rank

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 8 / 17

  • Forward analysis

    Cumulative impact of 1000 largest climate extremes.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 9 / 17

  • C flux sensitivity to extreme events

    C flux response to SPI and STI values.

    1 2 3 4 5 6 7 8 9 10−5

    0

    5

    lpj

    dlem

    orchidee−lsce

    clm4vic

    clm

    gtec

    isam

    visit

    biome−bgc

    vegas

    −4

    −3

    −2

    −10

    1

    2

    3

    4

    ch

    an

    ge

    in

    g C

    / m

    −2 p

    er

    un

    it S

    PI

    pe

    r u

    nit S

    TI

    −4

    −3

    −2

    −10

    1

    2

    3

    4

    NEE

    i) hot & dry j) hot & wet

    k) cold & dry l) cold & wet

    TR

    e) hot & dry f) hot & wet

    g) cold & dry h) cold & wet

    GPP

    a) hot & dry b) hot & wet

    c) cold & dry d) cold & wet

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 10 / 17

  • Backward analysis – all models – globe

    −GPP

    28.5 % 10 %

    59.4 % 2.1 %

    T

    cold

    −2

    −1

    0

    1

    2

    hot

    +GPP

    2.3 % 43.7 %

    20 % 34 %

    T

    Pdry −2 −1 0 1 2 wet

    cold

    −2

    −1

    0

    1

    2

    hot

    −TR

    45.6 % 13.8 %

    38.9 % 1.7 %

    +TR

    1.1 % 24.1 %

    24.4 % 50.4 %

    Pdry −2 −1 0 1 2 wet

    −NEE

    13.5 % 51.8 %

    20.1 % 14.6 %

    +NEE

    12.8 % 8.4 %

    68.5 % 10.3 %

    Pdry −2 −1 0 1 2 wet

    −GPP

    28.5 % 10 %

    59.4 % 2.1 %

    T

    cold

    −2

    −1

    0

    1

    2

    hot

    +GPP

    2.3 % 43.7 %

    20 % 34 %

    T

    Pdry −2 −1 0 1 2 wet

    cold

    −2

    −1

    0

    1

    2

    hot

    biome−bgc

    clm

    clm4vic

    dlem

    gtec

    isam

    lpj

    orchidee−lsce

    vegas

    visit

    Range of mean SPI and STI values during the 100 largest C flux extremes.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 11 / 17

  • Compound versus additive impact – NEE

    I = Impact

    heatwave ⇒ IHdrought ⇒ ID

    heatw .&dr .⇒ IHDIHD = IH + ID?

    2 4 6 8 10 12 14 16

    2

    4

    6

    8

    10

    12

    14

    16

    additive impact (gC m−2

    month−1

    )

    com

    pound im

    pact (g

    C m

    −2 m

    onth

    −1)

    NEE | hot & dry

    biome−bgc

    clm

    clm4vic

    dlem

    gtec

    isam

    lpj

    orchidee−lsce

    vegas

    visit

    The compound impact of heat waves and droughts is larger than theiradded impact.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 12 / 17

  • Compound versus additive impact – NEE

    I = Impact

    heatwave ⇒ IHdrought ⇒ ID

    heatw .&dr .⇒ IHDIHD = IH + ID?

    2 4 6 8 10 12 14 16

    2

    4

    6

    8

    10

    12

    14

    16

    additive impact (gC m−2

    month−1

    )

    com

    pound im

    pact (g

    C m

    −2 m

    onth

    −1)

    NEE | hot & dry

    biome−bgc

    clm

    clm4vic

    dlem

    gtec

    isam

    lpj

    orchidee−lsce

    vegas

    visit

    The compound impact of heat waves and droughts is larger than theiradded impact.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 12 / 17

  • Compound versus additive impact – TR

    I = Impact

    heatwave ⇒ IHdrought ⇒ ID

    heatw .&dr .⇒ IHDIHD = IH + ID?

    −18 −16 −14 −12 −10 −8 −6 −4

    −18

    −16

    −14

    −12

    −10

    −8

    −6

    −4

    additive impact (gC m−2

    month−1

    )

    co

    mp

    ou

    nd

    im

    pa

    ct

    (gC

    m−

    2 m

    on

    th−

    1)

    TR | cold & dry

    biome−bgc

    clm

    clm4vic

    dlem

    gtec

    isam

    lpj

    orchidee−lsce

    vegas

    visit

    The compound impact of cold spells and droughts is equal to their addedimpact.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 13 / 17

  • Forward: NEE response to heat waves in regions

    global tropical temperate boreal

    −2

    −1

    0

    1

    2

    3

    4

    5

    6

    7

    change in g

    C m

    −2 m

    onth

    −1 p

    er

    unit S

    TI

    NEE | heat waves

    Large uncertainties in the response to heat waves in boreal forests.

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 14 / 17

  • Backward analysis – biome dependent

    −GPP

    T

    cold

    −2

    −1

    0

    1

    2

    hot

    +GPP

    T

    Pdry −2 −1 0 1 2 wet

    cold

    −2

    −1

    0

    1

    2

    hot

    −TR

    +TR

    Pdry −2 −1 0 1 2 wet

    −NEE

    +NEE

    Pdry −2 −1 0 1 2 wet

    −GPPT

    cold

    −2

    −1

    0

    1

    2

    hot

    +GPP

    T

    Pdry −2 −1 0 1 2 wet

    cold

    −2

    −1

    0

    1

    2

    hot

    tropical

    temperate

    boreal

    global

    Extremes in GPP and TR are P driven in tropical forests but T driven inboreal forests.Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 15 / 17

  • Conclusions

    1 at global scale droughts and heat waves lead to large net carbonrelease or decrease in carbon C sink

    2 models agree on direction of response but magnitude of impactlargely differs across models

    3 hot and dry conditions compound each other

    4 disagreement between models for NEE response to climate extremesin boreal forests

    Zscheischler et al. (DGE | MPI BGC) Extremes in MsTMIP December 12, 2013 16 / 17

    Introduction into MsTMIPExtreme eventsForward analysisBackward analysisCompound events

    Conclusions