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Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF-CMAQ: model description, development, evaluation and regional analysis

机译:双向耦合WRF-CMAQ中气溶胶对网格尺度云的间接影响:模型描述,开发,评估和区域分析

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This study implemented first, second and glaciation aerosol indirect effects (AIE) on resolved clouds in the two-way coupled Weather Research and Forecasting Community Multiscale Air Quality (WRF-CMAQ) modeling system by including parameterizations for both cloud drop and ice number concentrations on the basis of CMAQ-predicted aerosol distributions and WRF meteorological conditions. The performance of the newly developed WRF-CMAQ model, with alternate Community Atmospheric Model (CAM) and Rapid Radiative Transfer Model for GCMs (RRTMG) radiation schemes, was evaluated with observations from the Clouds and the See http://ceres.larc.nasa.gov/. Earth's Radiant Energy System (CERES) satellite and surface monitoring networks (AQS, IMPROVE, CASTNET, STN, and PRISM) over the continental US (CONUS) (12 km resolution) and eastern Texas (4 km resolution) during August and September of 2006. The results at the Air Quality System (AQS) surface sites show that in August, the normalized mean bias (NMB) values for PM2.5 over the eastern US (EUS) and the western US (WUS) are 5.3% (-0.1%) and 0.4% (-5.2%) for WRF-CMAQ/CAM (WRF-CMAQ/RRTMG), respectively. The evaluation of PM2.5 chemical composition reveals that in August, WRF-CMAQ/CAM (WRF-CMAQ/RRTMG) consistently underestimated the observed SO42- by -23.0% (-27.7%), -12.5% (-18.9%) and -7.9% (-14.8%) over the EUS at the Clean Air Status Trends Network (CASTNET), Interagency Monitoring of Protected Visual Environments (IMPROVE) and Speciated Trends Network (STN) sites, respectively. Both configurations (WRF-CMAQ/CAM, WRF-CMAQ/RRTMG) overestimated the observed mean organic carbon (OC), elemental carbon (EC) and and total carbon (TC) concentrations over the EUS in August at the IMPROVE sites. Both configurations generally underestimated the cloud field (shortwave cloud forcing, SWCF) over the CONUS in August due to the fact that the AIE on the subgrid convective clouds was not considered when the model simulations were run at the 12 km resolution. This is in agreement with the fact that both configurations captured SWCF and longwave cloud forcing (LWCF) very well for the 4 km simulation over eastern Texas, when all clouds were resolved by the finer resolution domain. The simulations of WRF-CMAQ/CAM and WRF-CMAQ/RRTMG show dramatic improvements for SWCF, LWCF, cloud optical depth (COD), cloud fractions and precipitation over the ocean relative to those of WRF default cases in August. The model performance in September is similar to that in August, except for a greater overestimation of PM2.5 due to the overestimations of SO42-, NH4+, NO3-, and TC over the EUS, less underestimation of clouds (SWCF) over the land areas due to the lower SWCF values, and fewer convective clouds in September. This work shows that inclusion of indirect aerosol effect treatments in WRF-CMAQ represents a significant advancement and milestone in air quality modeling and the development of integrated emissions control strategies for air quality management and climate change mitigation.
机译:这项研究在双向天气研究和预报社区多尺度空气质量(WRF-CMAQ)建模系统中对分解云实施了第一,第二和冰川消融气溶胶间接效应(AIE),方法是同时包括CMAQ预测的气溶胶分布和WRF气象条件的基础。通过对云层和观测资料的观察,评估了新开发的WRF-CMAQ模型以及备用社区大气模型(CAM)和GCM快速辐射传输模型(RRTMG)辐射方案的性能。 nasa.gov/。 2006年8月至9月在美国大陆(CONUS)(分辨率12 km)和德克萨斯州东部(分辨率4 km)上的地球辐射能系统(CERES)卫星和地面监视网络(AQS,IMPROVE,CASTNET,STN和PRISM) 。空气质量系统(AQS)地面站点的结果显示,八月份,美国东部(EUS)和美国西部(WUS)的PM2.5的归一化平均偏差(NMB)值为5.3%(-0.1 WRF-CMAQ / CAM(WRF-CMAQ / RRTMG)分别为%)和0.4%(-5.2%)。对PM2.5化学成分的评估表明,8月份,WRF-CMAQ / CAM(WRF-CMAQ / RRTMG)始终低估了观测到的SO42- -23.0%(-27.7%),-12.5%(-18.9%)和在清洁空气状况趋势网络(CASTNET),受保护视觉环境的机构间监视(IMPROVE)和特定趋势网络(STN)站点上,分别比EUS降低-7.9%(-14.8%)。两种配置(WRF-CMAQ / CAM,WRF-CMAQ / RRTMG)都高估了8月份在IMPROVE站点EUS观测到的平均有机碳(OC),元素碳(EC)和总碳(TC)浓度。由于当在12 km分辨率下运行模型模拟时未考虑亚网格对流云上的AIE,因此两种配置通常都低估了8月CONUS上的云场(短波云强迫,SWCF)。这与以下事实一致:当所有云都由较精细的分辨率域解析时,这两种配置都能很好地捕获SWCF和长波云强迫(LWCF),以进行德克萨斯州东部4公里的模拟。 WRF-CMAQ / CAM和WRF-CMAQ / RRTMG的模拟显示,相对于8月WRF缺省情况,SWCF,LWCF,云光学深度(COD),海洋上空云量和降水量有了显着改善。 9月的模型性能与8月的相似,除了PM2.5的高估程度更高,这是由于EUS上的SO42-,NH4 +,NO3-和TC的高估,而陆地上的云量(SWCF)的低估了由于较低的SWCF值和9月的对流云较少,导致该地区出现。这项工作表明,在WRF-CMAQ中包括间接气溶胶效应处理代表了空气质量建模的重大进步和里程碑,以及空气质量管理和缓解气候变化的综合排放控制策略的发展。

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