model-observation handshake

5
Model-observation handshake • Research increasingly in the context of improving representation of coupled Earth system models – Improved process representation – Reduced uncertainty • Supporting model-data fusion – Benefits of multiple data constraints – INFUSION model-data fusion activity • Large number of participating sites/models • Treatment of data for data assimilation (e.g. energy balance correction) • Dealing with “dark data” (formats, units, accessibility) • Data formats for BADM data (biological, ancillar, disturbance, metadata) • List of priority variables needed for models, remote sensing calibration, and synthesis studies

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Model-observation handshake. Research increasingly in the context of improving representation of coupled Earth system models Improved process representation Reduced uncertainty Supporting model-data fusion Benefits of multiple data constraints INFUSION model-data fusion activity - PowerPoint PPT Presentation

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Page 1: Model-observation  handshake

Model-observation handshake• Research increasingly in the context of improving representation of

coupled Earth system models– Improved process representation– Reduced uncertainty

• Supporting model-data fusion– Benefits of multiple data constraints– INFUSION model-data fusion activity

• Large number of participating sites/models• Treatment of data for data assimilation (e.g. energy balance correction)

• Dealing with “dark data” (formats, units, accessibility)

• Data formats for BADM data (biological, ancillar, disturbance, metadata)• List of priority variables needed for models, remote sensing calibration,

and synthesis studies

Page 2: Model-observation  handshake

Model-data fusion: More attention needed• Needs to be more integral part of

model development– Process complexity ≠ accuracy

• Many models have serious problems representing key carbon cycle variables

• Task is daunting, modelers need to start with simple methods– Component model calibration– Limit pre-processing– Easy for model to ingest

• Efforts needed (working group?) on refining assimilation-ready data products for global models– Bringing in “dark” data– Multi-scale, multi-variable– Integrated uncertainty estimates

Courtesy Sasha Hararuk, Yiqi Luo

Page 3: Model-observation  handshake

Variables of interest to modelers

• Vcmax – slope of light use efficiency curve• Soil moisture profile• Soil turn-over • Soil heterogeneity• Leaf to canopy scaling factor• Characterization of light penetration inside

canopy• Soil carbon, biomass

Page 4: Model-observation  handshake

Challenge: Translating Between Model Need <-> Observation Capabilities

VcmaxGPP

LAI and Leaf nitrogen???

Canopy Leaf

ScalingModel-data fusion

Page 5: Model-observation  handshake

Ideas

• Uncertainties should be provided where possible• Add requirement that data be submitted in

standard formats to funding calls• Identify ways to make BADM easier for sites to

provide• AmeriFlux information request– Send top two data variables most needed from sites

– send to [email protected] along with an explanation of why they are critical