ModelE2-TOMAS development and evaluation using aerosol optical depths, mass and number concentrations

作者
Y. H. Lee,P. J. Adams,Drew Shindell
标识
DOI:10.5194/gmdd-7-5831-2014
摘要

Abstract. The TwO-Moment Aerosol Sectional microphysics model (TOMAS) has been integrated into the state-of-the-art general circulation model, GISS ModelE2. TOMAS has the flexibility to select a size resolution as well as the lower size cutoff. A computationally efficient version of TOMAS is used here, which has 15 size bins covering 3 nm to 10 μm aerosol dry diameter. For each bin, it simulates the total aerosol number concentration and mass concentrations of sulphate, pure elementary carbon (hydrophobic), mixed elemental carbon (hydrophilic), hydrophobic organic matter, hydrophilic organic matter, sea salt, mineral dust, ammonium, and aerosol-associated water. This paper provides a detailed description of the ModelE2-TOMAS model and evaluates the model against various observations including aerosol precursor gas concentrations, aerosol mass and number concentrations, and aerosol optical depths. Additionally, global budgets in ModelE2-TOMAS are compared with those of other global aerosol models, and the TOMAS model is compared to the default aerosol model in ModelE2, which is a bulk aerosol model. Overall, the ModelE2-TOMAS predictions are within the range of other global aerosol model predictions, and the model has a reasonable agreement with observations of sulphur species and other aerosol components as well as aerosol optical depth. However, ModelE2-TOMAS (as well as the bulk aerosol model) cannot capture the observed vertical distribution of sulphur dioxide over the Pacific Ocean possibly due to overly strong convective transport. The TOMAS model successfully captures observed aerosol number concentrations and cloud condensation nuclei concentrations. Anthropogenic aerosol burdens in the bulk aerosol model running in the same host model as TOMAS (ModelE2) differ by a few percent to a factor of 2 regionally, mainly due to differences in aerosol processes including deposition, cloud processing, and emission parameterizations. Larger differences are found for naturally emitted aerosols such as sea salt and mineral dust. With TOMAS, ModelE2 has three different aerosol models (the bulk aerosol model and modal-based aerosol microphysics model, MATRIX) and allows exploration of the uncertainties associated with aerosol modelling within the same host model, NASA GISS ModelE2.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DoD_K发布了新的文献求助10
刚刚
1秒前
guo完成签到 ,获得积分10
1秒前
1秒前
希望天下0贩的0应助oxygen采纳,获得10
2秒前
SciGPT应助kittt采纳,获得10
2秒前
程尘完成签到,获得积分20
2秒前
狂野紫丝完成签到,获得积分10
2秒前
Amosummer完成签到,获得积分10
2秒前
不二发布了新的文献求助10
2秒前
沉默寄凡完成签到,获得积分10
2秒前
科研通AI6.4应助71采纳,获得10
3秒前
3秒前
小孤独完成签到,获得积分10
5秒前
5秒前
ALY完成签到,获得积分10
5秒前
一嘻发布了新的文献求助10
5秒前
科研通AI6.4应助森巴小妹采纳,获得10
5秒前
6秒前
6秒前
6秒前
xr发布了新的文献求助10
6秒前
星辰完成签到 ,获得积分10
6秒前
7秒前
小二郎应助chall采纳,获得10
7秒前
bociic完成签到,获得积分10
7秒前
SciGPT应助abc采纳,获得10
7秒前
7秒前
陈叉叉发布了新的文献求助10
8秒前
xxzxg_nono完成签到,获得积分10
8秒前
天天快乐应助dz618采纳,获得10
8秒前
8秒前
芝士完成签到,获得积分10
9秒前
10秒前
kaikaifilu完成签到 ,获得积分10
10秒前
共享精神应助袁凯旋采纳,获得50
11秒前
细心的羽毛完成签到,获得积分10
11秒前
11秒前
Pami发布了新的文献求助10
12秒前
不二发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7711692
求助须知:如何正确求助?哪些是违规求助? 9267972
关于积分的说明 20069426
捐赠科研通 7288365
什么是DOI,文献DOI怎么找? 3297344
关于科研通互助平台的介绍 2451829
邀请新用户注册赠送积分活动 2304349