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USGS Data Release: Land change and carbon balance scenario projections for the State of California - model output

Dates

Publication Date
Start Date
2001
End Date
2100

Citation

Sleeter, B.M., 2019, Land change and carbon balance scenario projections for the State of California: U.S. Geological Survey data release, https://doi.org/10.5066/P9KVF795.

Summary

This data series provides tabular output from a series of modeling simulations for the State of California. The methods and results of this research are described in detail in Sleeter et al. (2019). We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use and land use change, climate change, and ecosystem disturbances such as wildfire and drought. The model was run at a 1-km spatial resolution on an annual timestep. We simulated 32 unique scenarios, consisting of 4 land-use scenarios and 2 radiative forcing scenarios as simulated by 4 global climate models. For each scenario, we ran 100 Monte Carlo realizations of the model. Additional details describing the modeling effort can be found in the [...]

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Attached Files

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CAModelOutputMetadata.xml
Original FGDC Metadata

View
56.08 KB application/fgdc+xml
sf-netfluxes.zip
“Net Fluxes”
768.31 MB application/zip
sf_flows.zip
“Flows”
990.49 MB application/zip
sf_stocks.zip
“Stocks”
397.58 MB application/zip
stsm-lucc.zip
“LUCC”
109.5 MB application/zip
stsm-transitions.zip
“Transitions”
592.7 MB application/zip

Purpose

Terrestrial ecosystems are an important sink for atmospheric carbon dioxide (CO2), sequestering ~30% of annual anthropogenic emissions and slowing the rise of atmospheric CO2. However, the future direction and magnitude of the land sink is highly uncertain. We examined how historical and projected changes in climate, land use, and ecosystem disturbances affect the carbon balance of terrestrial ecosystems in California over the period 2001-2100. We modeled 32 unique scenarios, spanning four land-use and two radiative forcing scenarios as simulated by four global climate models.

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