Surface Wind Regionalization over Complex Terrain: Evaluation and Analysis of a High-Resolution WRF Simulation

被引:98
作者
Jimenez, Pedro A. [1 ]
Fidel Gonzalez-Rouco, J. [5 ]
Garcia-Bustamante, Elena [1 ]
Navarro, Jorge [1 ]
Montavez, Juan P. [2 ]
Vila-Guerau de Arellano, Jordi [3 ]
Dudhia, Jimy [4 ]
Munoz-Roldan, Antonio
机构
[1] CIEMAT, Div Energias Renovables, E-28040 Madrid, Spain
[2] UM, Dept Fis, Murcia, Spain
[3] Wageningen Univ, Meteorol & Air Qual Grp, Wageningen, Netherlands
[4] Mesoscale & Microscale Meteorol Div, Boulder, CO USA
[5] UCM, Fac Ciencias Fis, Dept Astrofis & Ciencias Atmosfera, Madrid 28040, Spain
基金
美国国家科学基金会;
关键词
OBJECTIVE ANALYSIS; DIAGNOSTIC MODEL; FLOW; FORECAST; CLIMATE; ENERGY; SPEED; VARIABILITY; FIELDS; POWER;
D O I
10.1175/2009JAMC2175.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study analyzes the daily-mean surface wind variability over an area characterized by complex topography through comparing observations and a 2-km-spatial-resolution simulation performed with the Weather Research and Forecasting (WRF) model for the period 1992-2005. The evaluation focuses on the performance of the simulation to reproduce the wind variability within subregions identified from observations over the 1999-2002 period in a previous study. By comparing with wind observations, the model results show the ability of the WRF dynamical downscaling over a region of complex terrain. The higher spatio-temporal resolution of the WRF simulation is used to evaluate the extent to which the length of the observational period and the limited spatial coverage of observations condition one's understanding of the wind variability over the area. The subregions identified with the simulation during the 1992-2005 period are similar to those identified with observations (1999-2002). In addition, the reduced number of stations reasonably represents the spatial wind variability over the area. However, the analysis of the full spatial dimension simulated by the model suggests that observational coverage could be improved in some subregions. The approach adopted here can have a direct application to the design of observational networks.
引用
收藏
页码:268 / 287
页数:20
相关论文
共 50 条
[41]   Study on the micro-scale simulation of wind field over complex terrain by RAMS/FLUENT modeling system [J].
Li, Lei ;
Zhang, Li-Jie ;
Zhang, Ning ;
Hu, Fei ;
Jiang, Yin ;
Xuan, Chun-Yi ;
Jiang, Wei-Mei .
WIND AND STRUCTURES, 2010, 13 (06) :519-528
[42]   A NEW HIGH-RESOLUTION SEA SURFACE TEMPERATURE BLENDED ANALYSIS [J].
Maturi, Eileen ;
Harris, Andy ;
Mittaz, Jonathan ;
Sapper, John ;
Wick, Gary ;
Zhu, Xiaofang ;
Dash, Prasanjit ;
Koner, Prabhat .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2017, 98 (05) :1015-1026
[43]   A Downscaling Approach Toward High-Resolution Surface Mass Balance Over Antarctica [J].
Gallee, Hubert ;
Agosta, Cecile ;
Gential, Luc ;
Favier, Vincent ;
Krinner, Gerhard .
SURVEYS IN GEOPHYSICS, 2011, 32 (4-5) :507-518
[44]   High-Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 1. Model Development and Evaluation [J].
Yuan, Xing ;
Ji, Peng ;
Wang, Linying ;
Liang, Xin-Zhong ;
Yang, Kun ;
Ye, Aizhong ;
Su, Zhongbo ;
Wen, Jun .
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2018, 10 (11) :2806-2828
[45]   A meteorological analysis interpolation scheme for high spatial-temporal resolution in complex terrain [J].
Casellas, Enric ;
Bech, Joan ;
Veciana, Roger ;
Ramon Miro, Josep ;
Sairouni, Abdel ;
Pineda, Nicolau .
ATMOSPHERIC RESEARCH, 2020, 246
[46]   An evaluation of high-resolution multisatellite rainfall products over the Indian monsoon region [J].
Prakash, Satya ;
Sathiyamoorthy, V. ;
Mahesh, C. ;
Gairola, R. M. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (09) :3018-3035
[47]   Empirical high-resolution wind field and gust model in mountainous and hilly terrain based on the dense WegenerNet station networks [J].
Schlager, Christoph ;
Kirchengast, Gottfried ;
Fuchsberger, Juergen .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (10) :5607-5627
[48]   Assessment of wind energy potential over India using high-resolution global reanalysis data [J].
Satyanarayana Gubbala, China ;
Dodla, Venkata Bhaskar Rao ;
Desamsetti, Srinivas .
JOURNAL OF EARTH SYSTEM SCIENCE, 2021, 130 (02)
[49]   Simulation of Acoustic Radiations Over an Open Cavity Using High-Resolution Numerical Scheme [J].
Khan, Ovais U. ;
Arshed, G. M. .
AIAA SCITECH 2020 FORUM, 2020,
[50]   A rapid method for computing 3-D high-resolution vegetative canopy winds in weakly complex terrain [J].
Renault, Matthieu Adrien ;
Bailey, Brian N. ;
Stoll, Rob ;
Pardyjak, Eric R. .
FRONTIERS IN EARTH SCIENCE, 2024, 11