Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0

IF 4 3区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Geoscientific Model Development Pub Date : 2023-10-30 DOI:10.5194/gmd-16-6049-2023

Jiangyong Li, Chunlin Zhang, Wenlong Zhao, Shijie Han, Yu Wang, Hao Wang, Boguang Wang

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引用次数: 1

Abstract

Abstract. The Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) is a flexible and computationally efficient photochemical box model. Its unique adaptive dynamic optimization module allows for the dynamic and rapid estimation of the impact of chemical and physical processes on pollutant concentration. ROMAC outperforms traditional box models in evaluating the influence of physical processes on pollutant concentrations. Its ability to quantify the effects of chemical and physical processes on pollutant concentrations has been confirmed through chamber and field observation cases. Since the development of a variable-step and variable-order numerical solver that eliminates the need for Jacobian matrix processing, the computational efficiency of ROMAC has seen a marked improvement with only a marginal increase in error. Specifically, the computational efficiency has improved by 96 % when compared to several established box models, such as F0AM and AtChem. Moreover, the solver maintains a discrepancy of less than 0.1 % when its results are compared with those obtained from a high-precision solver in AtChem.

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大气化学快速自适应优化模型(ROMAC) v1.0

摘要大气化学快速自适应优化模型(ROMAC)是一种灵活、计算效率高的光化学盒模型。其独特的自适应动态优化模块允许对化学和物理过程对污染物浓度的影响进行动态和快速的估计。ROMAC在评估物理过程对污染物浓度的影响方面优于传统的箱形模型。它有能力量化化学和物理过程对污染物浓度的影响，这已通过室内和实地观察案例得到证实。由于开发了一种可变步长和变阶数值求解器，消除了对雅可比矩阵处理的需要，ROMAC的计算效率有了明显的提高，而误差仅略有增加。具体来说，与F0AM和AtChem等几种已建立的盒模型相比，计算效率提高了96%。此外，当求解器的结果与AtChem的高精度求解器得到的结果进行比较时，其误差小于0.1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-

CiteScore

8.60

自引率

9.80%

发文量

352

审稿时长

6-12 weeks

期刊介绍： Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.