Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

EcoTas13 BradEvans e-MAST framework


Published on

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

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

EcoTas13 BradEvans e-MAST framework

  1. 1. Towards a framework for sharing an open set of data and tools for ecosystem modellers Brad Evans, Ben Evans and Colin Prentice
  2. 2. eMAST : Data assimilation
  3. 3. 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
  4. 4. 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?
  5. 5. 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?
  6. 6. What eMAST is delivering High-resolution data products: climate, canopy conductance, water use, primary production Tools for interpolation, downscaling, upscaling, hindcasting, forecasting A state-of-the-art data assimilation system for ecosystem model optimization Software for model evaluation (based on PALS) Top-level ecosystem drivers and targets for models
  7. 7. How we share data and tools National Computing Infrastructure World Wide Web eMAST NCI & Intersect Tools ANUClimate eMAST Tools MODELS Public Domain /eMAST /eMAST-data eMAST PORTAL World Wide Web eMAST eMAST Intersect RDSI OpeNDaP THREDDS Service SYDNEY NCI RDSI OpeNDaP THREDDS Service CANBERRA eMAST GEONETWORK NecTAR/ NCI Research Data Australia
  8. 8. TERN Data Discovery Portal
  9. 9.
  10. 10. ANUClimate A NEW approach to interpolating our national network 0.01 degree climate surfaces Who? Professor Mike Hutchinson (ANU)
  11. 11. 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 ✔ ✔
  12. 12. ANUClimate When? Delivery timeline… Complete set of Climate and Bioclimatic data available on RDSI RDSI opendap netCDF CF & Metadata store complete = public release Data starts propagating to RDSI* ADVANCED USER ACCESS DOI’s NOT YET AVAILABLE = NO PUBLISH 30 Nov 2013 24 Dec 2013 31 Jan 2013 *Currently experiencing delays in RDSI allocation – delays in the Raijin cloud roll out etc…
  13. 13. Bioclimate data sets (1 km T, P and R)
  14. 14.
  15. 15. OzFlux
  16. 16. ePiSaT : Partitioning evaluation
  17. 17. Model data evaluation from Gab Abramowitz (UNSW)
  18. 18. Plant trait surfaces • • • • • • • • Leaf nitrogen Leaf phosphorus Specific leaf area Leaf area Maximum plant height Photosynthesis per leaf area Photosynthesis per leaf dry mass Leaf stomatal conductance Dr. Rhys Whitley
  19. 19. Plant trait surfaces
  20. 20. NEON & TERN
  21. 21. Summary: Data-model fusion tools Data assimilation collaboration with NEON and NCAR, CSIRO, Macquarie University and the Australian National University - ACEAS workshop on data assimilation early 2014 eMAST : An R-Package ‘emast’ for the computation and visualization of bioclimatic indices ePiSaT : Collaboration with OzFlux and AusCover to model Gross Primary Production across the landscape, another R-Package ‘ePiSaT’ -ACEAS worskshop on SPEDDEXES Protocol for the Analysis of Land Surface Models (PALS) for evaluation of data and models
  22. 22. The future of eMAST Continue delivery of our key datasets through the RDSI, Data Discovery, Visualization & Exploitation… consolidation of our tools and porting them to Raijin.