Decadal application of WRF/Chem for regional air quality and climate modeling over the U.S. under the representative concentration pathways scenarios. Part 1: Model evaluation and impact of downscaling
Air quality
; Meteorology
; Quality control
; Weather forecasting
; CESM
; Decadal evaluation
; Meteorological variables
; North Carolina State University
; Temporal and spatial variation
; The continental U.S
; Weather research and forecasting models
; WRF/Chem
; Climate models
; aerosol
; air quality
; air temperature
; atmospheric chemistry
; climate modeling
; concentration (composition)
; downscaling
; future prospect
; parameterization
; performance assessment
; precipitation (climatology)
; spatiotemporal analysis
; aerosol
; air pollution
; air quality
; air temperature
; Article
; climate
; cloud
; concentration (parameters)
; downscaling
; environmental impact
; environmental radioactivity
; evaluation study
; futurology
; gas
; geochemistry
; meteorology
; precipitation
; prediction
; priority journal
; process development
; prognosis
; radiative forcing
; simulation
; United States
; North Carolina
; United States
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要:
An advanced online-coupled meteorology-chemistry model, i.e., the Weather Research and Forecasting Model with Chemistry (WRF/Chem), is applied for current (2001–2010) and future (2046–2055) decades under the representative concentration pathways (RCP) 4.5 and 8.5 scenarios to examine changes in future climate, air quality, and their interactions. In this Part I paper, a comprehensive model evaluation is carried out for current decade to assess the performance of WRF/Chem and WRF under both scenarios and the benefits of downscaling the North Carolina State University's (NCSU) version of the Community Earth System Model (CESM_NCSU) using WRF/Chem. The evaluation of WRF/Chem shows an overall good performance for most meteorological and chemical variables on a decadal scale. Temperature at 2-m is overpredicted by WRF (by ∼0.2–0.3��C) but underpredicted by WRF/Chem (by ∼0.3–0.4��C), due to higher radiation from WRF. Both WRF and WRF/Chem show large overpredictions for precipitation, indicating limitations in their microphysics or convective parameterizations. WRF/Chem with prognostic chemical concentrations, however, performs much better than WRF with prescribed chemical concentrations for radiation variables, illustrating the benefit of predicting gases and aerosols and representing their feedbacks into meteorology in WRF/Chem. WRF/Chem performs much better than CESM_NCSU for most surface meteorological variables and O3hourly mixing ratios. In addition, WRF/Chem better captures observed temporal and spatial variations than CESM_NCSU. CESM_NCSU performance for radiation variables is comparable to or better than WRF/Chem performance because of the model tuning in CESM_NCSU that is routinely made in global models. � 2016 Elsevier Ltd
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, United States
Recommended Citation:
Yahya K,, Wang K,, Campbell P,et al. Decadal application of WRF/Chem for regional air quality and climate modeling over the U.S. under the representative concentration pathways scenarios. Part 1: Model evaluation and impact of downscaling[J]. Atmospheric Environment,2017-01-01,152