A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode - Part I: Evaluation protocols, databases, and meteorological predictions

被引:138
作者
Zhang, Yang
Liu, Ping
Pun, Betty
Seigneur, Christian
机构
[1] N Carolina State Univ, Raleigh, NC 27695 USA
[2] Atmospher & Environm Res Inc, San Ramon, CA 94583 USA
基金
美国国家科学基金会;
关键词
model evaluation; CMAQ; MM5; SOS; statistical measures;
D O I
10.1016/j.atmosenv.2005.12.043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A comprehensive model evaluation has been conducted for MM5-CMAQ for the period of 1-10 July 1999 of the Southern Oxidants Study episode with a coarse-grid horizontal spacing of 32-km and a nested fine-grid spacing of 8-km. Meteorological and chemical predictions from simulations with both grids are compared with observations from both routine monitoring networks (e.g., CASTNet, IMPROVE, and AIRS-AQS) and special studies (e.g., SOS99/SOS99NASH, SEARCH, and ARIES). In this Part I paper, five simulated meteorological variables (i.e., temperature, relative humidity (RH), wind speed, wind direction, and planetary boundary layer (PBL) height) are evaluated. While MM5 reproduces well the diurnal variations for temperature and RH, and the minimum temperatures at all sites, it tends to overpredict maximum temperatures and underpredict both maximum and minimum RHs on most days at most sites. MM5 predictions agree reasonably well for wind speeds but poorly for wind direction and the maximum mixing depths. The significant overpredictions in the PBL heights can be attributed to the positive biases of the maximum 2-m temperatures and to the Medium Range Forecast (MRF) model PBL scheme and the Oregon State University (OSU)Land Surface Model used in the MM5 simulations. For wind speed/direction and the U- and V-component of the wind speed, the normalized mean bias (NMB) and the normalized mean bias factor (NMBF) are the most robust statistical measures because of the dominance of the extremely small observed values in the normalization for those variables. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4825 / 4838
页数:14
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