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http://dx.doi.org/10.14191/Atmos.2021.31.5.473

Development of a High-Resolution Near-Surface Air Temperature Downscale Model  

Lee, Doo-Il (Department of Atmospheric Science, Kongju National University)
Lee, Sang-Hyun (Department of Atmospheric Science, Kongju National University)
Jeong, Hyeong-Se (National Institute of Meteorological Sciences)
Kim, Yeon-Hee (National Institute of Meteorological Sciences)
Publication Information
Atmosphere / v.31, no.5, 2021 , pp. 473-488 More about this Journal
Abstract
A new physical/statistical diagnostic downscale model has been developed for use to improve near-surface air temperature forecasts. The model includes a series of physical and statistical correction methods that account for un-resolved topographic and land-use effects as well as statistical bias errors in a low-resolution atmospheric model. Operational temperature forecasts of the Local Data Assimilation and Prediction System (LDAPS) were downscaled at 100 m resolution for three months, which were used to validate the model's physical and statistical correction methods and to compare its performance with the forecasts of the Korea Meteorological Administration Post-processing (KMAP) system. The validation results showed positive impacts of the un-resolved topographic and urban effects (topographic height correction, valley cold air pool effect, mountain internal boundary layer formation effect, urban land-use effect) in complex terrain areas. In addition, the statistical bias correction of the LDAPS model were efficient in reducing forecast errors of the near-surface temperatures. The new high-resolution downscale model showed better agreement against Korean 584 meteorological monitoring stations than the KMAP, supporting the importance of the new physical and statistical correction methods. The new physical/statistical diagnostic downscale model can be a useful tool in improving near-surface temperature forecasts and diagnostics over complex terrain areas.
Keywords
2-m temperature; downscale model; physical correction; statistical correction; KMAP;
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