M.: Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis

high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets. The domain mirrors that of the Arctic System Reanalysis (ASR), an assimilation...

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Bibliographic Details
Main Authors: Aaron B. Wilson, David H. Bromwich, Keith M. Hines
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Arctic
Arctic Ocean
Byrd
albedo
Byrd Polar Research
Byrd Polar Research Center
Sea ice
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.8453
http://polarmet.osu.edu/PolarMet/PMGFulldocs/wilson_bromwich_jgr_2011.pdf
Description
Summary:high‐resolution regional scale model, is used to simulate conditions for the year December 2006 to November 2007. The goal is to compare model output of near‐surface and tropospheric variables to observational data sets. The domain mirrors that of the Arctic System Reanalysis (ASR), an assimilation of model fields with Arctic observations being conducted partly by the Polar Meteorology Group of the Byrd Polar Research Center at Ohio State University. A key development in this Polar WRF study is the extension of the seasonal progression of sea ice albedo to the entire Arctic Ocean. The boundary conditions are specified by the NCEP Final global gridded analysis archive (FNL), a 1 ° × 1 ° global grid updated every 6 h. The simulations are performed in 48 h increments initialized daily at 0000 UTC, with the first 24 h discarded for model spin‐up of the hydrologic cycle and boundary layer processes. Model large‐scale variables of atmospheric pressure and geopotential height show good agreement with observations. Spatial distribution of near‐surface air temperatures compares well with ERA‐Interim despite a small negative bias in the station analysis. Surface dewpoint temperatures and wind speeds show small biases, but model skill is modest for near‐surface winds. Tropospheric temperatures and wind speeds, however, agree well with radiosonde observations. This examination provides a benchmark from which to improve the model and guidance for further development of Polar WRF as ASR’s primary model.

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