Historical and future forcing data for the Community Land Model 4.0 used in two study sites in Hawai'i, 2005-2100
Dates
Publication Date
2016-11-16
Start Date
2010
End Date
2086
Citation
Thomas W. Giambelluca, Maoyi Huang, and Yi Xu. 2016. Historical and future forcing data for the Community Land Model 4.0 used in two study sites in Hawai'i, 2005-2100. USGS ScienceBase.
Summary
Serially complete forcing data for historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites. The historical (2005-2015) data are derived from measured time series at each site. All gaps were filled to create serially complete time series of each forcing variable. Gap filling was based on the best available information at each time step and made use of statistical relationships with available data, historical analogues and other methods. Future (2071-2100) forcing data sets were contructed by shifting values in the historical data set 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, [...]
Summary
Serially complete forcing data for historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites. The historical (2005-2015) data are derived from measured time series at each site. All gaps were filled to create serially complete time series of each forcing variable. Gap filling was based on the best available information at each time step and made use of statistical relationships with available data, historical analogues and other methods. Future (2071-2100) forcing data sets were contructed by shifting values in the historical data set 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).
Forcing data are required for the CLM runs at the Thurston and Olaa sites. Historical and future runs of CLM were conducted using these forcing data sets to estimate the effects of projected future changes in climate on ecosystem fluxes of water vapor and carbon dioxide.
