Ecosystem fluxes and Community Land Model outputs for Thurston and Olaa study sites, Hawaiʻi
Dates
Publication Date
2016-11-16
Start Date
2004
End Date
2086
Citation
Thomas W. Giambelluca, Maoyi Huang, and Yi Xu. 2016. Ecosystem fluxes and Community Land Model outputs for Thurston and Olaa study sites, Hawai'i. USGS ScienceBase.
Summary
These files contain two datasets. First are vertical fluxes of energy, water vapor and carbon dioxide calculated by the eddy covariance technique using measurements taken at Olaa tower (Flux Data). Second are results of historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites (CLM Output Data). Output includes time series of energy, water vapor, and carbon dioxide exchanges at each site. The historical runs are forced by gap-filled measured time series at each site. Future data sets were contructed by shifting values in the historical run by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate by Elison Timm et [...]
Summary
These files contain two datasets. First are vertical fluxes of energy, water vapor and carbon dioxide calculated by the eddy covariance technique using measurements taken at Olaa tower (Flux Data). Second are results of historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites (CLM Output Data). Output includes time series of energy, water vapor, and carbon dioxide exchanges at each site. The historical runs are forced by gap-filled measured time series at each site. Future data sets were contructed by shifting values in the historical run by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate by Elison Timm et al. (2015, Statistical downscaling of rainfall changes in Hawai‘i based on the CMIP5 global model projections, Journal of Geophysical Research-Atmospheres 120: 92-112, doi: 10.1002/2014JD022059) and Elison Timm and Fortini (2016, Statistical estimation of future temperature anomalies, data product, http://www.atmos.albany.edu/facstaff/timm/products_data.html).
The principal purpose of flux data is the characterize the exchanges of energy and mass between the ecosystem and the atmosphere and the responses of those exchanges to variations in environmental conditions. For the CLM output data, historical and future runs of CLM were conducted using forcing data sets to estimate the effects of projected future changes in climate on ecosystem fluxes of water vapor and carbon dioxide.
