Assessment of Dynamical Climate Downscaling Methods Using Analysis Nudging for Liaoning Area
First author:Yi Xue (1984-), female,Tieling City, Liaoning Province, Engineer. Research areas include land surface processes, data assimilation and climate simulation.E-mail:yi11xue@163.com
Received date: 2017-09-08
Revised date: 2017-12-25
Online published: 2018-06-13
Supported by
Project supported by the Climatic Change Research Item of the China Meteorological Administration “Study on the construction and evaluation of high resolution climate field in Northeast China” (No.CCSF201608);The National Natural Science Foundation of China “Study on the construction of high spatiotemporal resolution climate field with dynamic underlying surface information and Nudging method”(No.41675098).
Copyright
Analysis Nudging in different resolution domains was adopted for dynamic downscaling, and the result of two typical months of July and October, 2015, which represented summer and autumn, was evaluated in Liaoning Province of China. Results showed that significant improvement was present in large-scale background with AN in WRF, such as geopotential height at 500 hPa and relative humidity at 925 hPa. According to the characteristics of error between simulated and observation of surface variables, including temperature and relative humidity at 2 m, wind speed at 10 m and precipitation, it also showed that analysis nudging at 12 km and 4 km resolution was more effective than at 36 km. However, after using analysis nudging at 4 km, there was no improvement of the precision of surface variables anymore, and the surface temperature and precipitation were even worse than using nudging at 12 km grid. This suggested that, according to the resolution of background filed, nudging in high resolution grid was ineffective after using analysis nudging at the relatively coarse model grid.
Xue Yi , Deqin Li , Chunyu Zhao , Lidu Shen , Xue Ao , Mingyan Liu . Assessment of Dynamical Climate Downscaling Methods Using Analysis Nudging for Liaoning Area[J]. Advances in Earth Science, 2018 , 33(5) : 517 -531 . DOI: 10.11867/j.issn.1001-8166.2018.05.0517
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