High-resolution dynamical downscaling products for the North Slope of Alaska and surrounding areas, links to model result files ...
Climatic changes are most pronounced in northern high latitude regions. Yet, there is a paucity of observational data, both spatially and temporally, such that regional-scale dynamics are not fully captured, limiting our ability to make reliable projections. In this study, a group of dynamical downs...
| Main Authors: | , , , , , |
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
PANGAEA
2016
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.1594/pangaea.863625 https://doi.pangaea.de/10.1594/PANGAEA.863625 |
| Summary: | Climatic changes are most pronounced in northern high latitude regions. Yet, there is a paucity of observational data, both spatially and temporally, such that regional-scale dynamics are not fully captured, limiting our ability to make reliable projections. In this study, a group of dynamical downscaling products were created for the period 1950 to 2100 to better understand climate change and its impacts on hydrology, permafrost, and ecosystems at a resolution suitable for northern Alaska. An ERA-interim reanalysis dataset and the Community Earth System Model (CESM) served as the forcing mechanisms in this dynamical downscaling framework, and the Weather Research & Forecast (WRF) model, embedded with an optimization for the Arctic (Polar WRF), served as the Regional Climate Model (RCM). This downscaled output consists of multiple climatic variables (precipitation, temperature, wind speed, dew point temperature, and surface air pressure) for a 10 km grid spacing at three-hour intervals. The modeling ... : This is the data set created by polar WRF version 3.5.1 forced by multiple forcings including a reanalysis data set (ERA-interim) and an Earth System Model (CESM1) over the domain of the Alaskan North Slope, with 10 km grid spacing and 3-hourly output interval. The available variables in this data set are temperature, precipitation, wind speed/direction, and humidity. This data set has been bias-corrected using linear scaling method. More surface or upper layer variables or completed WRF output can be obtained by contacting Lei Cai (mailto:lcai4@alaska.edu). ... |
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