WP3 WP6 USE CASEDATA MODEL FUSIONUSING PHENOLOGICAL DATA TO INFORM PRODUCTIVITY MODEL
Andy Fox, David Moore, Jesus Marco de Lucas, Jeff Taylor, and many others.
Hank Loescher | National Ecological Observatory Network (NEON)
Director Strategic Projects | CEO Office
Earth System Models
2
• Uncertainty in carbon cycle feedbacks stems from structural, parameter, initial conditions and boundary conditions uncertainties
• Data provide both detailed site-based process information and spatial measures of pattern and process that can be integrated into an earth system model
• What would be the essential components of such a system?
– Datasets for evaluation – common measurements, post-processed and saved in common formats served from a CI optimized for interaction with ESMs
– Data products commensurate with model grid cell scales (i.e. FLUXNET GPP product)
– Long-term and accurate to observe trends beyond inter-annual variation
– A interoperable (and common?) model capable of simulating coupled land, ocean, river and atmospheric processes
– A data assimilation system capable of ingesting observations (in real time) to improve model performance
Poor Performance related to Spring and Autumn
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Approximately 25 different land surface / ecosystem models
Spring
Autumn
Bias in Gross PrimaryProductivity gC m-2 yr-1
Richardson et al 2012 Global Change Biology
Standardized protocols … limited by the availability of data in appropriate formats
Planned Activities
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Formal Partnership with National Phenological NetworkLifewatch Visiting Scientist(s) – NPN HQ (U Arizona)
– NEON HQ
Planned DeliverablesSurvey and integrate – Observations (notebooks), Spatially explicit
– Hemispherical Photographs, Spatially explicit– Phenological Camera, Temporally explicit
Data fusion (assimilation) – Community Land Model
Proof of concept – Sites with contrasting phenology– Daily estimates– Annual Time series (?)– Validation activities (?)
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