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Towards a framework for sharing an
open set of data and tools for
ecosystem modellers
Brad Evans, Ben Evans and Colin Prentice
eMAST : Data assimilation
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
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?
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?
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
How we share data and tools
National Computing Infrastructure

World Wide Web

eMAST NCI &
Intersect Tools
ANUClimate

eMAST Tools
MODELS
Public Domain

tern.org.au
/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
TERN Data Discovery Portal
http://www.tern.org.au/e-MAST-Data-Products-pg26355.html
ANUClimate
A NEW approach to interpolating our national network
0.01 degree climate surfaces

Who? Professor Mike Hutchinson (ANU)
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

✔

✔
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…
Bioclimate data sets (1 km T, P and R)
http://episat-software.blogspot.com.au/
OzFlux
ePiSaT : Partitioning evaluation
Model data evaluation

from Gab Abramowitz (UNSW)
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
Plant trait surfaces
NEON & TERN
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
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.

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EcoTas13 BradEvans e-MAST framework

  • 1. Towards a framework for sharing an open set of data and tools for ecosystem modellers Brad Evans, Ben Evans and Colin Prentice
  • 2.
  • 3. eMAST : Data assimilation
  • 4. 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
  • 5. 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?
  • 6. 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?
  • 7. 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
  • 8. How we share data and tools National Computing Infrastructure World Wide Web eMAST NCI & Intersect Tools ANUClimate eMAST Tools MODELS Public Domain tern.org.au /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
  • 11.
  • 12. ANUClimate A NEW approach to interpolating our national network 0.01 degree climate surfaces Who? Professor Mike Hutchinson (ANU)
  • 13. 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 ✔ ✔
  • 14. 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…
  • 15. Bioclimate data sets (1 km T, P and R)
  • 18. ePiSaT : Partitioning evaluation
  • 19. Model data evaluation from Gab Abramowitz (UNSW)
  • 20. 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
  • 23. 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
  • 24. 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.