气候变化领域集成服务门户(CCPortal): Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition

CCPortal

DOI	10.1029/2018MS001422
	Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition
	Campbell P.C.; Bash J.O.; Spero T.L.
发表日期	2019
ISSN	19422466
起始页码	231
结束页码	256
卷号	11 期号:1
英文摘要	Regional, state, and local environmental regulatory agencies often use Eulerian models to investigate the potential impacts on pollutant deposition and air quality from changes in land use, anthropogenic and natural emissions, and climate. The Noah land surface model (LSM) in the Weather Research and Forecasting (WRF) model is widely used with the Community Multiscale Air Quality (CMAQ) model for such investigations, but there are many inconsistencies that need to be changed so that they are consistent with dry deposition and emission processes. In this work, the Noah LSM in WRFv3.8.1 is improved in its linkage to CMAQv5.2 by adding important parameters to the WRF/Noah output, updating the WRF soil and vegetation reference tables that influence CMAQ wet and dry photochemical deposition processes, and decreasing WRF/Noah's top soil layer depth to be consistent with CMAQ processes (e.g., windblown dust and bidirectional ammonia exchange). The modified WRF/Noah-CMAQ system (both off-line and coupled) impacts meteorological predictions of 2-m temperature (T2; increases and decreases), 2-m mixing ratio (Q2; decreases), and 10-m wind speed (WSPD10; decreases) in the United States. These changes are mostly driven by leaf area index values and aerodynamic roughness lengths updated in the vegetation tables based on satellite data, with additional impacts from soil tables updated based on recent soil data. Improvements in the consistency in the treatment of land surface processes between CMAQ and WRF resulted in improvements in both estimated meteorological (e.g., T2, WSPD10, and latent heat fluxes) and chemical (e.g., ozone, sulfur dioxide, and windblown dust) model estimates. ©2018. The Authors.
英文关键词	Air Quality; Atmospheric Deposition; CMAQ; Meteorology; WRF
语种	英语
scopus关键词	Air quality; Ammonia; Climate models; Deposition; Dust; Land use; Meteorological problems; Meteorology; Soils; Sulfur dioxide; Surface measurement; Vegetation; Wind; Aerodynamic roughness length; Atmospheric depositions; CMAQ; Community multi-scale air qualities; Land surface modeling; Meteorological prediction; Photochemical deposition; Weather research and forecasting models; Weather forecasting; air quality; atmospheric deposition; dry deposition; land surface; meteorology; mixing ratio; model; satellite data; simulation; topsoil; United States
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156988
作者单位	National Academies/National Research Council (NRC) Fellowship Participant at National Exposure Research Laboratory, U.S. Environmental Protection Agency, Durham, NC, United States; Now at Department of Atmospheric and Oceanic Science/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, College Park, MD, United States; ARL/NOAA Affiliate, United States; National Exposure Research Laboratory, U.S. Environmental Protection Agency, Durham, NC, United States
推荐引用方式 GB/T 7714	Campbell P.C.,Bash J.O.,Spero T.L.. Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition[J],2019,11(1).
APA	Campbell P.C.,Bash J.O.,&Spero T.L..(2019).Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition.Journal of Advances in Modeling Earth Systems,11(1).
MLA	Campbell P.C.,et al."Updates to the Noah Land Surface Model in WRF-CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition".Journal of Advances in Modeling Earth Systems 11.1(2019).