1. The PEcAn Project: Carbon-Cycle Reanalysis Facilitated by Model-Data Ecoinformatics
Michael C. Dietze, D. LeBauer, C. Davidson, A. R. Desai,
R. Kooper, K. McHenry, S. Serbin , T. Viskari, D. Wang

2. Barriers to Modeling Accessibility Relevance Flow of information
Too complicated?
Requires expert training to use?
Relevance
How does this help me understand MY system?
Can models help me in the field?
Flow of information
Too much information?
One way (field → model)
Dietze et al. PC&E 2013

3. Ecoinformatics Workflows allow Transparency Repeatability
Provenance tracking

4. Accessibility

5. Relevance Ask non-trivial hypotheses
Models as working hypotheses
Ensembles as significance test
Var Decomp to identify drivers, design experiments
“[my favorite process/most recent finding] should be incorporated in global change models”
Confront models with data
Thousands of study sites, experiments, data sets

6. Predictive Ecosystem Analyzer
Manage flow info in/out of models
Scientific workflows
Automate analysis
Accessibility
Repeatability
Data Assimilation
LeBauer et al 2013

7. Other Projects EcoPad (Y. Luo, UO) DART (NCAR) CLM+DART (A. Fox, NEON)
“Model Farm” (J. Fisher, JPL)
General Ensemble Biogeochemical Modeling System (USGS)
Microsoft Research, Computational Ecology

8. Meta-Analysis Posteriors
Prior from Wright et al 2004, Graminoids

9. Ensemble Estimate

10. Sensitivity Analysis
NPP (Mg/ha)
Prior
Posterior

11. Variance Decomposition
Prior
Posterior *
*can easily be extended to driver and IC uncertainties

12. Across Biomes....
Proportion of Variance

13. Sampling Optimization

14. Data Assimilation
Updated State
Data
Model

15. If this is easy to use? Would you use it? Would you contribute? Data
Models
Code / time

16. Much to be done... http://pecanproject.org