PILPS Update Proposal - PowerPoint

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							PILPS Update & Proposal

    Ann Henderson-Sellers
    ANSTO Environment
    and Andy Pitman
    Macquarie University
    Sydney, Australia

                            ENVIRONMENT
   PILPS Update August 2003
• Arctic basin: ACSYS/PILPS
  – completed with 17 papers in Special Issue of
    Global & Planetary Change (August 2003)
• Tropical forests: PILPS1(c)
  – still contributing to publs. (e.g. H-S & Pitman, 2002, BAMS)
• Frozen soil and snow: PILPS 2(d)
  – generating publications & prompting questions
     • Luo et al. 2003, J Hydromet. (Valdai analysis)
• Coupled PILPS/AMIP II DSP12
  – LSS clusters and importance of LSSs in
    coupled models now demonstrated
                                                      ENVIRONMENT
PILPS - still learning from off-line
• Carbon fluxes: PILPS C1
  – going very well; possible introduction to
    carbon isotopes
• Arid environments: PILPS San Pedro
  – workshop this week (Bastidas & Gupta)
• Isotopes in GLASS: IPILPS
  – proposal to be tabled today focuses on:
     • Stable water isotopes
     • Carbon isotopes
• When do these updates go on the
  GLASS web page?                               ENVIRONMENT
     PILPS Update - Highlights

• Chronological sequence in LSSs
  – ‘simple’ schemes; SiBlings; current generation
• Classes of carbon parameterisation
  – Rapid equilibrium of NPP & early CO2 sinks
  – Gradual NPP increase & net CO2 sink zero early
• LSSs behave differently with different GCMs
  – Choice of LSS matters to climate prediction
• VIC is a better surrogate for ‘truth’ than re-
  analyses for evaporation at least
                                             ENVIRONMENT
PILPS - still learning from off-line

• Chronological sequence in LSSs
  – ‘simple’ schemes; SiBlings; current generation


           Which group is ‘best’????




                                             ENVIRONMENT
    Land-surface Energy Partition
• Energy budgets of 20 models (A-T) & 3 reanalyses
                                    Scatter along
                                    diagonal shows
                                    differences in
                                    partitioning
                                    surface
                                    available
                                    energy

                                    Scatter around
                                    diagonal due to
                                    predictions of
                                    different values
                                    of surface
                                    available energy


        Latent Heat Flux W m-2           ENVIRONMENT
                             LSS Clusters in All Climates
SEBs normalised by ensemble                                      SiBlings
of 3 re-analyses – 3 clusters
Scaled sensible heat W m-2




                                        SiBlings
                                                                     Buckets



                                                                  SiBlings


                                             Buckets

                                                                     Buckets

                             Scaled latent heat W m-2 SiBlings; latest ENVIRONMENT
                                            Buckets;                    LSS
 PILPS - Off-line Links to GLACE

• Chronological sequence in LSSs
  – ‘simple’ schemes; SiBlings; current generation
• LSSs behave differently with different GCMs
  – Choice of LSS matters to climate prediction


Coupling does not eliminate characteristics or
              impacts of LSSs



                                             ENVIRONMENT
     Spatio-temporal Correlation
• Climate trajectories differ for SiBlings &
  buckets
• LH improves
                               Bucket
  from Arid
  (worst) to E.
  Humid (best)
• SH flows the
  other way                                SiBling
                                   SiBling
• Bucket (O) SH
  v. small & low              Bucket
  variability

                                              ENVIRONMENT
                                      Pseudo Land-surface Schemes
                                                               • Derived a PLSS for every
Atmospheric forcing from AMIP AGCMs




                                                                 AMIP II model (A-T): columns
                                                               • Apply in 3 basins: Amazon,
                                                Amazon
                                                                 Mississippi, Mackenzie
                                                               • Forced by all AGCMs: rows

                                         }   Mississippi
                                                               • Find:
                                                                 – Agreement on main diagonal
                                                                    • PLSSs do a good job

                                                           }     – Range for different forcings
                                                                    • LSSs respond to different AGCMs
                                                                 – „avg‟ forcing is close to
                                                                   reported values
                                             Mackenzie              • mean = good estmt.
LH                                                                                         ENVIRONMENT
                                      Pseudo Land-surface Schemes

                                                          • Ranking predicted LHs
Atmospheric forcing from AMIP AGCMs




                                              Amazon
                                                          • Stripes show LSSs
                                                            often dominate over
                                                            atmospheric forcing
                                                             – in three diverse
                                                               regimes: Amazon,
                                                               Mississippi, Mackenzie
                                            Mississippi
                                                             – for 20 different AMIP II
                                                               models and land-surface
                                                               schemes

                                            Mackenzie     Irannejad et al., GRL 2003
Rank                                                                                   ENVIRONMENT
     PILPS Update - Highlights

• Chronological sequence in LSSs
  – ‘simple’ schemes; SiBlings; current generation
• LSSs behave differently with different GCMs
  – Choice of LSS matters to climate prediction
• VIC is a better surrogate for ‘truth’ than re-
  analyses
  Generally, all known data have been (over)
     used for parameterisation – need new!

                                             ENVIRONMENT
VIC Best “Truth” for E/P Ratios


                              AMIP models
          VIC                 major basins
    Obs
                               BALTEX




                               VIC closes
                               water budgets
                               & best at E/P
                Obs
    VIC     Mississippi
                          Murray Darling

                                   ENVIRONMENT
      Evaluating LSS Performance

SiBlings best
cf. VIC

Intermediate
climates -
reanalyses
and current
LSSs closely
grouped
Irannejad et
al. 2003 find
VIC is best                        VIC
surrogate for
truth
                                   ENVIRONMENT
       Isotopes in PILPS : IPILPS
• Stable and radioactive isotopes are
  valuable for both tracing and dating
• Stable water isotope measurements
  – Demonstrated that the Amazon recycles
    its water (3 or 4 times)
  – Prompted early GCM deforestation
    experiments (e.g. Henderson-Sellers & Gornitz, 1984)
• Carbon isotopes differentiate C3 and C4
  photosynthesis
• Off-line (PILPS) inter-comparison is timely e.g.
  – “Heavy” water (HD16O & H218O) at the land surface
  – River routing schemes tested against GNIR – the
    Global Network for Isotopes in Rivers
                Gibson et al., EOS December 2002   ENVIRONMENT
Recycling         Small d18O Gradient

  1980s



                    1960s         GNIP

                                                                    Belem
                                               Sao Gabriel Manaus


                                                Porto Velo

                                    Izobamba
 Gradient ~ 1.5‰ per 103 km cf. 2.0‰ for Europe


                    H-S, McGuffie & Zhang,
                    J. Clim., 2002, 15, 2664                  ENVIRONMENT
         Basin Isotope Modelling
• Isotopes provide an independent climate and
  water resource validation tool
• Weakened signal in central Amazon (Manaus)
  indicates increased water recycling
• Logarithmic enhancement in Darling reveals
  irrigation impacts
                              Enhanced
                              D/H ratio



                    Darling

Manaus

                  H-S, Stone, McGuffie etc
                  GRL, 2003,
                                             ENVIRONMENT
Darling River 2002-3 Drought
                                                              d18O and d D
                                                              measured in
                                                  Brisbane
                                                              2002-3 drought
           Bourke
                                                              Walgett
   Wilcannia

  Menindie                                                   Collarenabri


Burtundy                                                 Gunnedah
                                      Sydney

                                                  60                                Jan 2003
                                                  50

                                                  40



                                        delta D
                     Melbourne                    30
                                                                           Jul 2002
                                                  20

                                                  10

                    Tracing a non-                 0
                                                  Jan 2002
                                                    1    3     5       7        9      11   13
                    linear relation                                delta O-18
                                                                     ENVIRONMENT
   IPILPS: New Data & Results
d18O        Belem, Amazon
                                                            Belem




dD         Precip                                     New isotopic
                                                      data from Belem
       Vapour

                            Simulated d18O

                                             Precip



  Simulations with ISOLSM                                 ENVIRONMENT
  IPILPS Science & Timeline
• QUESTION: Are the stores and fluxes of two
  different “heavy” water isotopes (HD16O & H218O)
  correctly characterised at the land surface?
• TIMELINE:
  – August 2003: Approval by GLASS Panel
  – September/October 2003:
     • Quality control of the available isotopic & met./hydro. data
  – November/December 2003:
     • Experimental framework described and agreed
     • Water isotopes only or plus carbon isotopes?
  – January/February 2004: Call for participation to all
    current & past PILPS & AMIP II DSP 12
  – April/May 2004: First workshop (possibly in Vienna)
  – December 2004: Publication of results       ENVIRONMENT

						
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