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Aerosol predictions and their links to weather forecasts through online interactive atmospheric modeling and data assimilation

机译:通过在线交互式大气建模和数据同化的气溶胶预测及其与天气预报的联系

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摘要

Atmospheric particles represent a component of air pollution that has been identified as a major contributor to adverse health effects and mortality. Aerosols also interact with solar radiation and clouds perturbing the atmosphere and generating responses in a wide range of scales, such as changes to severe weather and climate. Thus, being able to accurately predict aerosols and its effects on atmospheric properties is of upmost importance.This thesis presents a collection of studies with the global objective to advance in science and operations the use of WRF-Chem, a regional model able to provide weather and atmospheric chemistry predictions and simultaneously representing aerosol effects on climate. Different strategies are used to obtain accurate predictions, including finding an adequate model configuration for each application (e.g., grid resolution, parameterizations choices, processes modeled), using accurate forcing elements (e.g., weather and chemical boundary conditions, emissions), and developing and applying data assimilation techniques for different observational sources. Several environments and scales are simulated, including complex terrain at a city scale, meso-scale over the southeast US for severe weather applications, and regional simulations over the three subtropical persistent stratocumulus decks (off shore California and southeast Pacific and Atlantic) and over North America. Model performance is evaluated against a large spectrum of observations, including field experiments and ground based and satellite measurements.Overall, very positive results were obtained with the WRF-Chem system once it had been configured properly and the inputs chosen. Also, data assimilation of aerosol and cloud satellite observations contributed to improve model performance even further. The model is proven to be an excellent tool for forecasting applications, both for local and long range transported pollution. Also, advances are made to better understand aerosol effects on climate and its uncertainties. Aerosols are found to generate important perturbations, ranging from changes in cloud properties over extensive regions, up to playing a role in increasing the likelihood of tornado occurrence and intensity. Future directions are outline to keep advancing in better predictions of aerosols and its feedbacks.
机译:大气颗粒代表空气污染的组成部分,已被确定为对不良健康影响和死亡率的主要贡献者。气溶胶也与太阳辐射和云进行扰乱大气的云,并在各种秤中产生反应,例如对恶劣天气和气候的变化。因此,能够准确地预测气溶胶及其对大气性质的影响最重要的是最重要的。本论文介绍了全球目标的研究,以便在科学和运营中推进WRF-Chem,一个能够提供天气的区域模型和大气化学预测,同时代表气候效应气候。使用不同的策略来获得准确的预测,包括为每个应用程序找到适当的模型配置(例如,网格分辨率,参数选择,所建模的过程),使用精确的强制元件(例如,天气和化学边界条件,排放)和发展和发展应用不同观察来源的数据同化技术。模拟了几种环境和尺度,包括城市规模的复杂地形,在美国东南部的中学规模,用于严重的天气应用,以及三个亚热带持久性划船(离岸加州和东南太平洋和东南)和北方的区域模拟美国。根据大量观测评估模型性能,包括现场实验和基于地面和卫星测量。将使用WRF-Chem系统正确地获得了非常阳性的结果,一旦正确配置,选择的输入。此外,气溶胶和云卫星观察的数据同化促使进一步提高了模型性能。该模型被证明是局部和长期运输污染的预测应用的绝佳工具。此外,提高进步以更好地了解气溶胶对气候的影响及其不确定性。发现气溶胶产生重要的扰动,从大量地区的云属性的变化范围内,达到在增加龙卷风发生和强度的可能性时发挥作用。未来的方向是概述,以便在更好地预测气溶胶及其反馈方面继续前进。

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