Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem-Reference-Cited by-同舟云学术

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Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem

Published:2024-11 Issue: Volume:337 Page:120758
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Zhang Shiyan^ORCID,Yu Manzhu^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Sensitivity of meteorological skill to selection of WRF-chem physical parameterizations and impact on ozone prediction during the lake Michigan ozone study (LMOS);Abdi-Oskouei;J. Geophys. Res. Atmos.,2020

2. Description and evaluation of the community Multiscale air quality (CMAQ) modeling system version 5.1;Appel;Geosci. Model Dev. (GMD),2017

3. Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor;Barkjohn;Atmos. Meas. Tech.,2021

4. An online downscaling method to simulate high resolution atmospheric concentrations of pesticides with the 3D chemistry-transport model CHIMERE: application and evaluation;Couvidat;Atmos. Environ.,2023

5. An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution;Di;Environ. Int.,2019

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