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Impact of Grid Nudging Parameters on Dynamical Downscaling during Summer over Mainland China

Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Shenyang Atmospheric Environment Research Institute, China Meteorological Administration, Shenyang 110016, China
Tianjin Institute of Meteorological Science, Tianjin 300074, China
Author to whom correspondence should be addressed.
Atmosphere 2017, 8(10), 184;
Received: 18 July 2017 / Revised: 15 September 2017 / Accepted: 19 September 2017 / Published: 25 September 2017
(This article belongs to the Special Issue WRF Simulations at the Mesoscale: From the Microscale to Macroscale)
PDF [3978 KB, uploaded 25 September 2017]


The grid nudging technique is often used in regional climate dynamical downscaling to make the simulated large-scale fields consistent with the driving fields. In this study, we focused on two specific questions about grid nudging: (1) which nudged variable has a larger impact on the downscaling results; and (2) what is the “optimal” grid nudging strategy for each nudged variable to achieve better downscaling result during summer over the mainland China. To solve these queries, 41 three-month-long simulations for the summer of 2009 and 2010 were performed using the Weather Research and Forecasting model (WRF) to downscale National Centers for Environmental Prediction (NCEP) Final Operational Global Analysis (FNL) data to a 30-km horizontal resolution. The results showed that nudging horizontal wind or temperature had significant influence on the simulation of almost all conventional meteorological elements, while nudging water vapor mainly affected the precipitation, humidity, and 500 hPa temperature. As a whole, the optimal nudging time was one hour or three hours for nudging wind, three hours for nudging temperature, and one hour for nudging water vapor. The optimal nudged level was above the planetary boundary layer for almost every nudged variable. Despite these findings, it should be noted that the optimum nudging scheme varied with simulated regions and layers, and dedicated research for different regions, seasons, and model configuration is advisable. View Full-Text
Keywords: grid nudging; downscaling; WRF; nudged variable; nudging time; nudged level grid nudging; downscaling; WRF; nudged variable; nudging time; nudged level

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Mai, X.; Ma, Y.; Yang, Y.; Li, D.; Qiu, X. Impact of Grid Nudging Parameters on Dynamical Downscaling during Summer over Mainland China. Atmosphere 2017, 8, 184.

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