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Xiachuan Fu, Zhongjie He, Yueqi Zhao, Xuyu Jiang and Mengyao Wang
Previous studies have pointed out that spectral nudging is still insufficient in improving the long-term simulation ability of numerical models. In response to this problem, this study started with the Luzon Strait and its adjacent areas and discussed th...
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Hans Von Storch, Leone Cavicchia, Frauke Feser and Delei Li
We review the state of dynamical downscaling with scale-constrained regional and global models. The methodology, in particular spectral nudging, has become a routine and well-researched tool for hindcasting climatologies of sub-synoptic atmospheric distu...
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Peng Liu, Xiaobin Qiu, Yi Yang, Yuanyuan Ma and Shuanglong Jin
This study aims to assess the performance of different dynamical downscaling methods using updated land surface information. Particular attention is given to obtaining high-resolution climate information over China by the combination of an appropriate dy...
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Katja Trachte
Atmospheric moisture pathways to the highlands of the tropical Andes Mountains were investigated using the Weather Research and Forecasting (WRF) model, as well as back-trajectory analysis. To assess model uncertainties according to the initial and later...
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Xingliang Guo and Wei Zhong
Sensitivity tests based on a spectral nudging (SN) technique are conducted to analyze the effect of large-scale environmental factors on the movement of typhoon Megi (2010). The error of simulated typhoon track is effectively reduced using SN and the imp...
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Peter Berg, Thomas Bosshard and Wei Yang
Lack of suitable observational data makes bias correction of high space and time resolution regional climate models (RCM) problematic. We present a method to construct pseudo-observational precipitation data by merging a large scale constrained RCM reana...
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