ecosystem Modelling And Scaling infrasTructure (eMAST)

Data user perspective: Ecosystem data and tool requirements for modelling applications

Presentation by Brad Evans based on contributions by Colin Prentice, Michael Hutchinson, Gab Abramowitz, Ben Evans, Rhys Whitley, Julie Pauwels

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?

Data: Climate data sets (1 km)Tmin Tmax vp P pan

evap.wet days

solar rad.

wind speed

daily1970-2011

✔ ✔ ✔ ✔

monthly 1970-2011

✔ ✔ ✔ ✔ ✔ ✔

mean monthly

✔ ✔ ✔ ✔ ✔ ✔ ✔

Bioclimate data sets (1 km T, P and R)

ToolsData 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 indicesePiSaT 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

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?

User workflow: ePiSaT GPP

Choose the ePiSaT model from the TERN

portal

Obtain OzFlux data via the TERN/ OzFlux

portals

Run the ePiSaT model – generate estimates of

ecosystem parameters, evaluate them

Obtain climate (eMAST) and satellite data

(AusCover) to scale the ePiSaT parameters

Produce continental scale estimates of GPP

and evaluate them

OzFlux

ePiSaT: Flux partitioning

Data filtering: Removal of outliers etc.. Gap filling of PAR (PPFD) for GPP

1

3

1R =

Assimilation

Amax = - 2

Efficiency

Φ =

2

2

3Amax *FC =

Rectangular Hyperbole

3 parameter

1 2 3

Respiration

Quantum

R -Φ I

Amax +Φ I

ePiSaT : Flux tower scaling

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.

ePiSaT : Partitioning evaluation

from Gab Abramowitz (UNSW)

Model data evaluation

eMAST in 2014Delivery of our key datasets through the RDSI, Data Discovery, Visualization & Exploitation… consolidation of our tools and porting them to Raijin.