FLUXNET: MTE (Multi-Tree Ensemble)

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Climate Data Guide
Main content

Global, spatially and temporally explicit estimates of carbon and water fluxes derived from empirical up-scaling eddy covariance measurements would constitute a new and possibly powerful data stream to study the variability of the global terrestrial carbon and water cycle. Jung et al (2009)

Key Strengths

Key Strengths

Global coverage at spatial resolution comparable to global climate models. Includes uncertainty estimates.

Key Limitations

Key Limitations

Upscaling is still hampered by a variety of challenges such as limited ability to account for effects of disturbance and/or site history, and lagged environmental effects (Jung et al. 2011)

Please cite data sources, following the data providers' instructions
Suggested Data Citation
None
Dataset DOIs
None
Hosted Climate Index Files
None
Data Access
None
Usage Restrictions
None

Other Information

Earth system components and main variables
Type of data product

Years of record
to
Data time period extended
None
Timestep
Monthly
Domain
Formats:
Input Data
None
Vertical Levels:
Missing Data Flag
Missing data present
Ocean or Land
Land Only
Spatial Resolution

0.5x0.5

Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None