Goldstream Valley Permafrost hydrology model data 1930-2019
The research project was active from 2015 till 2020. These datasets are related to the hydrological modeling component of the Goldstream Valley permafrost, groundwater, carbon study. The goal of the modeling is to reconstruct the current permafrost distribution and simulate its future response. The...
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| Format: | Dataset |
| Language: | English |
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NSF Arctic Data Center
2020
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| Online Access: | https://dx.doi.org/10.18739/a2d50fz4g https://arcticdata.io/catalog/view/doi:10.18739/A2D50FZ4G |
| Summary: | The research project was active from 2015 till 2020. These datasets are related to the hydrological modeling component of the Goldstream Valley permafrost, groundwater, carbon study. The goal of the modeling is to reconstruct the current permafrost distribution and simulate its future response. The datasets in this submission are input variables for the Water Balance Simulation Model (WaSiM) model and they can be used to simulated the current soil temperature and hydrological flows. This particular dataset is related to hydrological simulations of the watershed. We are deploying the Water Balance Simulation Model and the submitted datasets are input files needed to run the model. We are not entirely finished with these simulations at this point. The grid representing land surface cover is created from the Alaska Vegetation map (https://www.mrlc.gov/downloads/sciweb1/shared/mrlc/data/MRLC-CurrentViewer-Layers/NLCD-2011-ALASKA-LAND-COVER/ak_nlcd_2011_landcover_1_15_15.faq.html). The soils grid was created from the Alaska Soils map (https://www.nrcs.usda.gov/Internet/FSE_MANUSCRIPTS/alaska/AK642/0/NorthStar_Manu.pdf). The initial temperature grid stack was simulated with WaSiM through a spin-up procedure of 500 years driven by the air temperatures between 1930 and 1940 and a fixed geothermal heat flow as the bottom boundary condition of 0.045 watts per square meter (W/m2). All the time series of weather data are collected from the Fairbanks International Airport weather station. |
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