Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde-Reference-Cited by-同舟云学术

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Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde

Published:2022-12 Issue: Volume:851 Page:158271
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Yin Hao,Sun Youwen,You Yan,Notholt Justus,Palm Mathias,Wang Wei,Shan Changgong,Liu Cheng

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Aeronautics and Space Administration

Fundo para o Desenvolvimento das Ciências e da Tecnologia

European Space Agency

Tsinghua University

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference89 articles.

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3. A homogenized daily in situ PM2.5 concentration dataset from the national air quality monitoring network in China;Bai;Earth Syst.Sci. Data,2020

4. Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns;Barkley;J. Geophys. Res. Atmos.,2013

5. Global modeling of tropospheric chemistry with assimilated meteorology: model description and evaluation;Bey;J. Geophys. Res.-Atmos.,2001

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