Schneider von Deimling, Thomas; Jacobi, Stephan; Langer, Moritz (2020): GFDL-based climate forcing data (1979-2095) in the region of Deadhorse (Alaska) for driving the CryoGrid landsurface model [dataset]. Alfred Wegener Institute - Research Unit Potsdam, PANGAEA, https://doi.org/10.1594/PANGAEA.921753
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Abstract:
This is a timeseries dataset of 7 climatological parameters (air temperature (2m), rainfall, snowfall, specific humidity (2m), air pressure (2m), wind speed (10m), downward shortwave and longwave fluxes) that are required input forcing data for tha landsurface model CryoGrid. The data are an preprocessed composition of historical (1970-2005) and projected (2006-2095) climate data from the Coupled model 3.0 (CM3) from the NOAA Geophysical Fluid Dynamics Laboratory (GFDL). Data are dynamically downscaled to an spatial resolution of 20km and hourly temporal resolution by the Weather Research and Forecasting model 3.5 (WRF). The projection data are based on RCP8.5 scenario. Finally the data were bias-corrected for consistency with Deadhorse climatic conditions. The dataset is provided as MatLab-matrice.
Supplement to:
Schneider von Deimling, Thomas; Lee, Hanna; Ingeman-Nielsen, Thomas; Westermann, Sebastian; Romanovsky, Vladimir E; Lamoureux, Scott F; Walker, Donald A; Chadburn, Sarah; Cai, Lei; Trochim, Erin; Nitzbon, Jan; Jacobi, Stephan; Langer, Moritz (in review): Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales. The Cryosphere Discussions, https://doi.org/10.5194/tc-2020-192
Further details:
Project(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 01LN1709A: Simulating erosion processes in permafrost landscapes under a warming climate – a risk assessment for ecosystems and infrastructure within the Arctic
Coverage:
Latitude: 70.160000 * Longitude: -148.430000
Event(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
44.4 MBytes