Impact of a Dense Surface Network on High-Resolution Dynamical Downscaling via Observation Nudging
Impact of a Dense Surface Network on High-Resolution Dynamical Downscaling via Observation Nudging
复制标题
密集表面网络对通过观察微移进行高分辨率动态缩小的影响
DOI：
10.1175/jamc-d-20-0071.1
复制
发表时间：
2020-10
影响因子：
3
通讯作者：
Zhou Xiaoyu
中科院分区：
文献类型：
--
作者：
Yi Xue;Li Deqin;Zhao Chunyu;Shen Lidu;Zhou Xiaoyu
近年来，全世界许多区域都有了高密度地面网络，但它们在高分辨率动态缩小尺度方面的效用尚未得到审查。为了填补这一空白，本文利用WRF模式和辽宁地区的观测资料，建立了一套高分辨率（4 km）的动力降尺度模拟。利用WRF模式对2015年的CFSv2再分析进行了三次降尺度试验，包括无轻推（CTL）、分析轻推（AN）和分析轻推与地面观测相结合（AON）。将三个1年区域气候模拟与独立的地面观测进行了比较。结果表明，观测轻推可以改善模拟的表面变量，包括温度，风速，湿度和压力，比轻推大规模的驱动数据与AN单独。这两种模拟都能改善WRF模式的温度冷偏。对于降水，无论是模拟与AN和观测轻推可以捕捉到的模式的降水，但是，在地面小尺度信息的引入，AON不能进一步提高降水的模拟。
High-density surface networks have become available in recent years in a number of regions throughout the world, but their utility in high-resolution dynamic downscaling has not been examined. As an attempt to fill such a gap, a suite of high-resolution (4 km) dynamical downscaling simulations is developed in this study with the Weather Research and Forecasting (WRF) Model and observation nudging over Liaoning in northeastern China. Three experiments, including no nudging (CTL), analysis nudging (AN), and combined analysis nudging and observation nudging with surface observations (AON), are conducted to downscale the CFSv2 reanalysis with the WRF Model for the year 2015. The three 1-yr regional climate simulations were compared with the independent surface observations. The results show that observational nudging can improve the simulation of surface variables, including temperature, wind speed, humidity, and pressure, more than nudging large-scale driving data with AN alone. The two nudging simulations can improve the cold bias for the temperature of the WRF Model. For precipitation, both the simulations with AN and observation nudging can capture the pattern of precipitation; however, with the introduction of small-scale information at the surface, AON cannot further improve the simulation of precipitation.
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影响因子：
6.3
作者：
X. Li;Yunsoo Choi;B. Czader;Hyun Cheol Kim;B. Lefer;S. Pan
通讯作者：
X. Li;Yunsoo Choi;B. Czader;Hyun Cheol Kim;B. Lefer;S. Pan
DOI：
10.1002/2013jd019945
发表时间：
2014-04
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
--
作者：
R. Laprise
通讯作者：
R. Laprise
影响因子：
4.9
作者：
E. Salathe;Richard C. Steed;C. Mass;P. H. Zahn
通讯作者：
E. Salathe;Richard C. Steed;C. Mass;P. H. Zahn
影响因子：
4.6
作者：
P. Lucas‐Picher;J. Cattiaux;Alexandre Bougie;R. Laprise
通讯作者：
P. Lucas‐Picher;J. Cattiaux;Alexandre Bougie;R. Laprise
影响因子：
3
作者：
T. Spero;C. Nolte;Megan S. Mallard;J. Bowden
通讯作者：
T. Spero;C. Nolte;Megan S. Mallard;J. Bowden