Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

Zhonghua Zheng; Jeffrey H. Curtis; Yu Yao; Jessica T. Gasparik; Valentine G. Anantharaj; Lei Zhao; Matthew West; Nicole Riemer

doi:10.1029/2020EA001500

Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

Zhonghua Zheng, Jeffrey H. Curtis, Yu Yao, Jessica T. Gasparik, Valentine G. Anantharaj, Lei Zhao, Matthew West, Nicole Riemer

Earth and Environmental Sciences - Academic & Research

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Earth and Space Science
DOIs	https://doi.org/10.1029/2020EA001500
Publication status	Published - Feb 2021

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10.1029/2020EA001500

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@article{37ca3e6ad73142e0aba31782898be16b,

title = "Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling",

author = "Zhonghua Zheng and Curtis, {Jeffrey H.} and Yu Yao and Gasparik, {Jessica T.} and Anantharaj, {Valentine G.} and Lei Zhao and Matthew West and Nicole Riemer",

year = "2021",

month = feb,

doi = "10.1029/2020EA001500",

language = "English",

journal = "Earth and Space Science",

issn = "2333-5084",

publisher = "American Geophysical Union ",

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T1 - Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

AU - Zheng, Zhonghua

AU - Curtis, Jeffrey H.

AU - Yao, Yu

AU - Gasparik, Jessica T.

AU - Anantharaj, Valentine G.

AU - Zhao, Lei

AU - West, Matthew

AU - Riemer, Nicole

PY - 2021/2

Y1 - 2021/2

UR - https://doi.org/10.1029/2020EA001500

U2 - 10.1029/2020EA001500

DO - 10.1029/2020EA001500

M3 - Article

SN - 2333-5084

JO - Earth and Space Science

JF - Earth and Space Science

ER -

Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling

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