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Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16. 利用NOAA全球预报系统第16版开发和评估先进的国家空气质量预报能力。
IF 5.1 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2022-04-21 DOI: 10.5194/gmd-15-3281-2022
Patrick C Campbell, Youhua Tang, Pius Lee, Barry Baker, Daniel Tong, Rick Saylor, Ariel Stein, Jianping Huang, Ho-Chun Huang, Edward Strobach, Jeff McQueen, Li Pan, Ivanka Stajner, Jamese Sims, Jose Tirado-Delgado, Youngsun Jung, Fanglin Yang, Tanya L Spero, Robert C Gilliam

A new dynamical core, known as the Finite-Volume Cubed-Sphere (FV3) and developed at both NASA and NOAA, is used in NOAA's Global Forecast System (GFS) and in limited-area models for regional weather and air quality applications. NOAA has also upgraded the operational FV3GFS to version 16 (GFSv16), which includes a number of significant developmental advances to the model configuration, data assimilation, and underlying model physics, particularly for atmospheric composition to weather feedback. Concurrent with the GFSv16 upgrade, we couple the GFSv16 with the Community Multiscale Air Quality (CMAQ) model to form an advanced version of the National Air Quality Forecasting Capability (NAQFC) that will continue to protect human and ecosystem health in the US. Here we describe the development of the FV3GFSv16 coupling with a "state-of-the-science" CMAQ model version 5.3.1. The GFS-CMAQ coupling is made possible by the seminal version of the NOAA-EPA Atmosphere-Chemistry Coupler (NACC), which became a major piece of the next operational NAQFC system (i.e., NACC-CMAQ) on 20 July 2021. NACC-CMAQ has a number of scientific advancements that include satellite-based data acquisition technology to improve land cover and soil characteristics and inline wildfire smoke and dust predictions that are vital to predictions of fine particulate matter (PM2.5) concentrations during hazardous events affecting society, ecosystems, and human health. The GFS-driven NACC-CMAQ model has significantly different meteorological and chemical predictions compared to the previous operational NAQFC, where evaluation of NACC-CMAQ shows generally improved near-surface ozone and PM2.5 predictions and diurnal patterns, both of which are extended to a 72 h (3 d) forecast with this system.

美国国家航空航天局和美国国家海洋和大气管理局共同开发了一种名为有限体积立方球(FV3)的新型动力核心,用于美国国家海洋和大气管理局的全球预报系统(GFS)和区域天气和空气质量应用的有限区域模型。NOAA还将FV3GFS升级到第16版(GFSv16),该版本在模型配置、数据同化和基础模型物理方面,特别是在大气成分到天气反馈方面,取得了许多重大进展。在GFSv16升级的同时,我们将GFSv16与社区多尺度空气质量(CMAQ)模型结合起来,形成一个先进版本的国家空气质量预报能力(NAQFC),将继续保护美国的人类和生态系统健康。在这里,我们描述了FV3GFSv16耦合与“最先进的”CMAQ模型版本5.3.1的发展。GFS-CMAQ耦合是由NOAA-EPA大气化学耦合器(NACC)的开创性版本实现的,NACC将于2021年7月20日成为下一个运行的NAQFC系统(即NACC- cmaq)的主要组成部分。NACC-CMAQ拥有许多科学进步,包括基于卫星的数据采集技术,以改善土地覆盖和土壤特征,以及在线野火烟尘预测,这对于预测影响社会,生态系统和人类健康的危险事件期间的细颗粒物(PM2.5)浓度至关重要。gfs驱动的NACC-CMAQ模式在气象和化学预测方面与之前运行的NAQFC有显著不同,其中NACC-CMAQ的评估显示近地面臭氧和PM2.5的预测和日模式总体上有所改善,这两者都扩展到该系统的72 h (3 d)预测。
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引用次数: 10
Impact of scale-aware deep convection on the cloud liquid and ice water paths and precipitation using the Model for Prediction Across Scales (MPAS-v5.2). 基于跨尺度预测模式(MPAS-v5.2)的尺度感知深层对流对云、液、冰水路径和降水的影响。
IF 5.1 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2020-06-29 DOI: 10.5194/gmd-13-2851-2020
Laura D Fowler, Mary C Barth, Kiran Alapaty

The cloud liquid water path (LWP), ice water path (IWP), and precipitation simulated with uniform- and variable-resolution numerical experiments using the Model for Prediction Across Scales (MPAS) are compared against Clouds and the Earth's Radiant Energy System (CERES) and Tropical Rainfall Measuring Mission data. Our comparison between monthly-mean model diagnostics and satellite data focuses on the convective activity regions of the tropical Pacific Ocean, extending from the Tropical Eastern Pacific Basin where trade wind boundary layer clouds develop to the Western Pacific Warm Pool characterized by deep convective updrafts capped with extended upper-tropospheric ice clouds. Using the scale-aware Grell-Freitas (GF) and Multiscale Kain-Fritsch (MSKF) convection schemes in conjunction with the Thompson cloud microphysics, uniform-resolution experiments produce large biases between simulated and satellite-retrieved LWP, IWP, and precipitation. Differences in the treatment of shallow convection lead the LWP to be strongly overestimated when using GF, while being in relatively good agreement when using MSKF compared to CERES data. Over areas of deep convection, uniform- and variable-resolution experiments overestimate the IWP with both MSKF and GF, leading to strong biases in the top-of-the-atmosphere longwave and shortwave radiation relative to satellite-retrieved data. Mesh refinement over the Western Pacific Warm Pool does not lead to significant improvement in the LWP, IWP, and precipitation due to increased grid-scale condensation and upward vertical motions. Results underscore the importance of evaluating clouds, their optical properties, and the top-of-the-atmosphere radiation budget in addition to precipitation when performing mesh refinement global simulations.

利用均匀分辨率和变分辨率跨尺度预测模式(MPAS)模拟的云液态水路径(LWP)、冰水路径(IWP)和降水,与云和地球辐射能系统(CERES)以及热带降雨测量任务的数据进行了比较。我们将月平均模式诊断结果与卫星数据进行比较,重点关注热带太平洋的对流活动区,从信风边界层云发展的热带东太平洋盆地延伸到以深度对流上升气流为特征的西太平洋暖池,该暖池被扩展的对流层上层冰云覆盖。使用具有尺度感知的Grell-Freitas (GF)和多尺度kainfritsch (MSKF)对流方案与Thompson云微物理相结合,均匀分辨率实验在模拟和卫星反演的LWP、IWP和降水之间产生了很大的偏差。浅层对流处理的差异导致使用GF时LWP被严重高估,而使用MSKF与CERES数据相比,两者的一致性相对较好。在深对流区域,均匀分辨率和变分辨率实验用MSKF和GF都高估了IWP,导致大气顶部长波和短波辐射相对于卫星反演数据有很强的偏差。由于网格尺度的凝结和向上垂直运动的增加,西太平洋暖池的网格细化并没有导致LWP、IWP和降水的显著改善。结果强调了在进行网格细化全球模拟时,除了降水之外,评估云、其光学特性和大气顶部辐射预算的重要性。
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引用次数: 5
Global tropospheric effects of aromatic chemistry with the SAPRC-11 mechanism implemented in GEOS-Chem version 9-02. 在 GEOS-Chem 9-02 版中实施 SAPRC-11 机制的全球对流层芳烃化学效应。
IF 5.1 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2019-01-01 Epub Date: 2019-01-04 DOI: 10.5194/gmd-12-111-2019
Yingying Yan, David Cabrera-Perez, Jintai Lin, Andrea Pozzer, Lu Hu, Dylan B Millet, William C Porter, Jos Lelieveld

The Goddard Earth Observing System with chemistry (GEOS-Chem) model has been updated with the Statewide Air Pollution Research Center version 11 (SAPRC-11) aromatics chemical mechanism, with the purpose of evaluating global and regional effects of the most abundant aromatics (benzene, toluene, xylenes) on the chemical species important for tropospheric oxidation capacity. The model evaluation based on surface and aircraft observations indicates good agreement for aromatics and ozone. A comparison between scenarios in GEOS-Chem with simplified aromatic chemistry (as in the standard setup, with no ozone formation from related peroxy radicals or recycling of NOx) and with the SAPRC-11 scheme reveals relatively slight changes in ozone, the hydroxyl radical, and nitrogen oxides on a global mean basis (1 %-4 %), although remarkable regional differences (5 %-20 %) exist near the source regions. NO x decreases over the source regions and increases in the remote troposphere, due mainly to more efficient transport of peroxyacetyl nitrate (PAN), which is increased with the SAPRC aromatic chemistry. Model ozone mixing ratios with the updated aromatic chemistry increase by up to 5 ppb (more than 10 %), especially in industrially polluted regions. The ozone change is partly due to the direct influence of aromatic oxidation products on ozone production rates, and in part to the altered spatial distribution of NOx that enhances the tropospheric ozone production efficiency. Improved representation of aromatics is important to simulate the tropospheric oxidation.

利用全州空气污染研究中心第 11 版(SAPRC-11)芳烃化学机制对戈达德地球观测系统化学(GEOS-Chem)模型进行了更新,目的是评估最丰富的芳烃(苯、甲苯、二甲苯)对对流层氧化能力非常重要的化学物种的全球和区域影响。基于地表和飞机观测数据进行的模型评估表明,芳烃和臭氧的影响非常一致。通过对 GEOS-Chem 中的简化芳烃化学方案(如标准设置,相关过氧自由基不形成臭氧,氮氧化物也不循环利用)和 SAPRC-11 方案进行比较,可以发现臭氧、羟基自由基和氮氧化物在全球平均水平上的变化相对较小(1%-4%),但在污染源区域附近存在显著的区域差异(5%-20%)。氮氧化物(NO x)在污染源地区减少,而在对流层偏远地区增加,这主要是由于过氧乙酰硝酸酯(PAN)的传输效率更高,而过氧乙酰硝酸酯随 SAPRC 芳烃化学反应而增加。使用更新的芳香族化学成分的模型臭氧混合比增加了多达 5 ppb(超过 10%),尤其是在工业污染地区。臭氧的变化部分是由于芳烃氧化产物对臭氧生成率的直接影响,部分是由于氮氧化物空间分布的改变提高了对流层臭氧的生成效率。改进芳烃的表示对于模拟对流层氧化非常重要。
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引用次数: 0
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Geoscientific Model Development
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