Improved PM2.5 predictions of WRF-Chem via the integration of Himawari-8 satellite data and ground observations-Reference-Cited by-同舟云学术

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Improved PM2.5 predictions of WRF-Chem via the integration of Himawari-8 satellite data and ground observations

Published:2020-08 Issue: Volume:263 Page:114451
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Hong Jia,Mao Feiyue,Min Qilong,Pan Zengxin,Wang Wei,Zhang Tianhao,Gong Wei

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference40 articles.

1. An introduction to himawari-8/9—Japan’s new-generation geostationary meteorological satellites;Bessho;J. Meteorol. Soc. Jpn. Ser. II,2016

2. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models;Bocquet;Atmos. Chem. Phys.,2015

3. Impact of moderate resolution imaging spectroradiometer aerosol optical depth and AirNow PM2.5 assimilation on community multi-scale Air quality aerosol predictions over the contiguous United States;Chai;J. Geophys. Res. Atmos.,2017

4. Coupling an advanced land surface hydrology model with the penn state NCAR MM5 modeling System. Part I: model implementation and sensitivity;Chen;Mon. Weather Rev.,2001

5. Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China;Chen;Atmos. Chem. Phys.,2019

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