EcoTas13 BradEvans e-MAST data

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TERN's e-MAST Director Brad Evans's presentation on e_MAST data at EcoTas13 in November 2013.

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EcoTas13 BradEvans e-MAST data

  1. 1. Data user perspective: Ecosystem data and tool requirements for modelling applications ecosystem Modelling And Scaling infrasTructure (eMAST) Presentation by Brad Evans based on contributions by Colin Prentice, Michael Hutchinson, Gab Abramowitz, Ben Evans, Rhys Whitley, Julie Pauwels
  2. 2. eMAST’s objectives 2013-2015 DELIVER research data infrastructure to integrate TERN (and other) data streams on the National Computing Infrastructure ENABLE data assimilation, model evaluation and accreditation and ecosystem model optimization DRIVE advances in ecosystem science, impact assessment and land management
  3. 3. Driving science questions CARBON: How much CO2 is exchanged? How much carbon can be stored and where? WATER: What drives water use by ecosystems, and runoff in rivers? CLIMATE CHANGE: How does it change the rules? LAND MANAGEMENT: What will work, in a changing climate?
  4. 4. More driving science questions FIRE: What are the risks? How can they be mitigated? CLIMATE FEEDBACKS: How will ecosystem changes influence the exchanges of carbon, water and energy with the atmosphere? BIODIVERSITY: What species are threatened? Where are likely refugia? Is there a tipping point?
  5. 5. Data: Climate data sets (1 km) Tmin Tmax vp P daily ✔ 1970-2011 ✔ ✔ ✔ monthly ✔ 1970-2011 ✔ ✔ ✔ ✔ mean monthly pan evap. wet days ✔ ✔ ✔ ✔ ✔ ✔ solar rad. wind speed ✔ ✔
  6. 6. Bioclimate data sets (1 km T, P and R)
  7. 7. Tools Data assimilation collaboration with NEON and NCAR, CSIRO, Macquarie University and the Australian National University : DART (NCAR) eMAST : An R-Package ‘emast’ for the computation and visualization of bioclimatic indices ePiSaT 2.0 : Use of eMAST, OzFlux and AusCover data to model Gross Primary Production across the landscape, an R-Package ‘ePiSaT’. Protocol for the Analysis of Land Surface Models (PALS) for evaluation of data and models
  8. 8. User example: ePiSaT How does gross primary productivity (GPP) vary in space and time across Australia? How can we ‘simply’ estimate GPP across Australia? What data does TERN provide that might be useful for addressing this research question?
  9. 9. User workflow: ePiSaT GPP Choose the ePiSaT model from the TERN portal Produce continental scale estimates of GPP and evaluate them Obtain OzFlux data via the TERN/ OzFlux portals Obtain climate (eMAST) and satellite data (AusCover) to scale the ePiSaT parameters Run the ePiSaT model – generate estimates of ecosystem parameters, evaluate them
  10. 10. OzFlux
  11. 11. ePiSaT: Flux partitioning 1 Respiration R= 1 Data filtering: Removal of outliers etc.. Gap filling of PAR (PPFD) for GPP Amax = - 2 Quantum 3 Rectangular Hyperbole 3 parameter 1 Assimilation 2 2 Efficiency 2 Φ= 3 3 FC = R - Amax * Φ I Amax +Φ I
  12. 12. ePiSaT : Flux tower scaling
  13. 13. http://episat-software.blogspot.com.au/ This project is supported by the Australian National Data Service (ANDS). ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative. For more information visit the ANDS website ands.org.au and Research Data Australia services.ands.org.au.
  14. 14. ePiSaT : Partitioning evaluation
  15. 15. Model data evaluation from Gab Abramowitz (UNSW)
  16. 16. eMAST in 2014 Delivery of our key datasets through the RDSI, Data Discovery, Visualization & Exploitation… consolidation of our tools and porting them to Raijin.

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