...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Geoscientific Model Development >Revised treatment of wet scavenging processes dramatically improves GEOS-Chem 12.0.0 simulations of surface nitric acid, nitrate, and ammonium over the United States
【24h】

Revised treatment of wet scavenging processes dramatically improves GEOS-Chem 12.0.0 simulations of surface nitric acid, nitrate, and ammonium over the United States

机译：湿清除过程的修订治疗显着改善了美国表面硝酸，硝酸盐和铵的地球化学12.0.0模拟

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The widely used community model GEOS-Chem 12.0.0 and previous versions have been recognized to significantly overestimate the concentrations of gaseous nitric acid, aerosol nitrate, and aerosol ammonium over the United States. The concentrations of nitric acid are also significantly overpredicted in most global models participating in a recent model intercomparison study. In this study, we show that most or all of this overestimation issue appears to be associated with wet scavenging processes. The replacement of constant in-cloud condensation water (ICCW) assumed in GEOS-Chem standard versions with one varying with location and time from the assimilated meteorology significantly reduces mass loadings of nitrate and ammonium during the wintertime, while the employment of an empirical washout rate for nitric acid significantly decreases mass concentrations of nitric acid and ammonium during the summertime. Compared to the standard version, GEOS-Chem with updated ICCW and washout rate significantly reduces the simulated annual mean mass concentrations of nitric acid, nitrate, and ammonium at surface monitoring network sites in the US from 2.04 to 1.03, 1.89 to 0.88, and 1.09 to 0.68 μg m?3, respectively, in much better agreement with corresponding observed values of 0.83, 0.70, and 0.60 μg m?3, respectively. In addition, the agreement of model-simulated seasonal variations of corresponding species with measurements is also improved. The updated wet scavenging scheme improves the skill of the model in predicting nitric acid, nitrate, and ammonium concentrations, which are important species for air quality and climate.
机译：已被广泛使用的社区模型Geos-Chem 12.0.0和以前的版本已被认识到显着高估在美国的气态硝酸，气溶胶硝酸盐和气溶胶铵的浓度。在参与最近模型的互联研究的大多数全球模型中，硝酸的浓度也显着估计。在这项研究中，我们表明大多数或所有这些高估问题似乎与湿清除过程相关。在Geos-Chem标准版本中替换恒定的云凝结水（ICCW），其中一个不同于来自同化气象的位置和时间显着降低了冬季期间硝酸盐和铵的质量载荷，而实际冲洗速率对于硝酸显着降低夏季期间硝酸和铵的质量浓度。与标准版本相比，具有更新的ICCW和冲洗率的Geos-Chem显着降低了美国的硝酸，硝酸盐和铵的模拟年平均质量浓度从2.04至1.03，1.89至0.88和1.09分别与0.83,0.70和0.60μgm≤3的相应观察值的相应相应的更好的达0.68μgm≤3。此外，还改善了具有测量的模型模拟季节性变化的协议。更新的湿清除方案提高了预测硝酸，硝酸盐和铵浓度的模型的技能，这是空气质量和气候的重要物种。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号