Data for the manuscript: The effect of spatial and temporal variability in plant functional traits on ecohydrological processes in a desert shrubland: a model-data fusion approach
2019-07-23
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Data for the manuscript: The effect of spatial and temporal variability in plant functional traits on ecohydrological processes in a desert shrubland: a model-data fusion approach
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2019-07-23
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The data contains the meteorological observation (including radiation, rainfall, specific humidity, wind speed, air pressure) at Kelmet and Globe site in Kelso Valley, CA from 2005 to 2010 as well as the reconstructed climate forcing from 1961 to 2005. The meteorological data were used to drive the model CLM 4.5. In addition, the MODIS leaf area index observation and in-site soil moisture at the two sites are included here, which were used for model-data fusion to constrain CLM model related vegetation trait parameters. The data also contains the downscaled climate model dataset (MACAv2-METDATA) at the two sites for the RCP 8.5 scenario simulation.
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This study was supported by funding from NSF (NSF-1724781)
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https://doi.org/10.13020/mc6r-kv62
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Liu, Shaoqing; Ng, Gene-Hua. (2019). Data for the manuscript: The effect of spatial and temporal variability in plant functional traits on ecohydrological processes in a desert shrubland: a model-data fusion approach. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/mc6r-kv62.
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