CTMs data for Improving Light-Dependent Monoterpene Emission Parameterizations to Enhance Chemical Transport Model Predictions of Ozone and SOA in South China

Name: CTMs data for Improving Light-Dependent Monoterpene Emission Parameterizations to Enhance Chemical Transport Model Predictions of Ozone and SOA in South China
Creator: figshare
Published: 2025-05-24T04:07:24+08:00

DataCite Commons2025-08-28 更新2025-09-08 收录

大气化学

环境模型

数据链接：

https://figshare.com/articles/dataset/MTs-CTMs_for_b_Refining_Monoterpene_Emission_Estimates_Reduces_Prediction_on_Ozone_and_SOA_b_/29143214 数据链接链接失效反馈

官方服务：

资源简介：

CTMs data for paper "Improving Light-Dependent Monoterpene Emission Parameterizations to Enhance Chemical Transport Model Predictions of Ozone and SOA in South China"

提供机构：

figshare

创建时间：

2025-05-24