CMA-CPSv4 aerosol simulation output data for the period 2001–2020

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Mengzhe Zheng, Tongwen Wu, Yixiong Lu, Weihua Jie, Yiming Liu, Xiaoge Xin, Jie Zhang, He Zhao, Xindan Zhang, Jiajie Yang
DOI: 10.5281/zenodo.18465064
Cited by: 0

Abstract

File Description: These NC files contain simulation output data from the China Meteorological Administration Climate Prediction System Version 4 (CMA-CPSv4), covering five aerosol types (dust, sea salt, sulfates, organic carbon, and black carbon), aerosol optical depth, and PM2.5 concentrations over the period from 2001 to 2020.

Fields of Study & Subjects

Atmospheric aerosols and clouds Atmospheric chemistry and aerosols Climate variability and models

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026
Document type
Dataset