Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns-Reference-Cited by-同舟云学术

Evaluation of WRF-Chem air quality forecasts during the AEROMMA and STAQS 2023 field campaigns

Published:2024-08-21 Issue: Volume: Page:1-21
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Acdan Juanito Jerrold Mariano¹^ORCID,Pierce R. Bradley¹²,Kuang Shi³⁴,McKinney Todd³,Stevenson Darby³,Newchurch Michael J.³,Pfister Gabriele⁵,Ma Siqi⁶,Tong Daniel⁶

Affiliation:

1. Department of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, Wisconsin, USA

2. Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, USA

3. Department of Atmospheric and Earth Science, The University of Alabama in Huntsville, Huntsville, Alabama, USA

4. Now at Iowa Technology Institute, College of Engineering, The University of Iowa, Iowa City, Iowa, USA

5. Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA

6. Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, Virginia, USA

Funder

NASA FINESST

Shi Kuang’s work was supported by NASA’s TOLNet

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10962247.2024.2380333

Reference62 articles.

1. (Note: some references correspond to citations in the Appendices section below)

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3. Predictability of Mesoscale Atmospheric Motions

4. Global crop yield reductions due to surface ozone exposure: 1. Year 2000 crop production losses and economic damage

5. Blaylock B. and C. Chastang. 2019. GOES-16: True color recipe. Boulder CO: Unidata University Corporation for Atmospheric Research (UCAR) National Science Foundation (NSF). Accessed March 1 2024. https://unidata.github.io/python-gallery/examples/mapping_GOES16_TrueColor.html.