Results 1 to 10 of about 2,049 (178)

Dynamic Meteorology-induced Emissions Coupler (MetEmis) development in the Community Multiscale Air Quality (CMAQ): CMAQ-MetEmis [PDF]

Geoscientific Model Development, 2023
There have been consistent efforts to improve the spatiotemporal representations of biogenic/anthropogenic emission sources for photochemical transport modeling for better accuracy of local/regional air quality forecasts.
B. H. Baek, C. Coats, S. Ma, S. Ma, C.-T. Wang, Y. Li, J. Xing, D. Tong, D. Tong, S. Kim, J.-H. Woo   +10 more
doaj   +4 more sources

A LASSO-based reduced-form CMAQ model for predicting ozone and PM2.5 responses to emission changes in South Korea. [PDF]

PLoS ONE
Reduced-form models of the Community Multiscale Air Quality Modeling System (CMAQ) enable efficient prediction of air quality responses to emission changes.
Da-Bin Lee, Hyun-Uk Kang, Gaeun Seo, Jinseok Kim, Bomi Kim, Jung-Hun Woo, Kyu-Baek Hwang   +6 more
doaj   +2 more sources

Conditional UNet emulation of CMAQ simulations for fine particulate matter concentration prediction [PDF]

Scientific Reports
Fine particulate matter (PM2.5) pollution poses significant health risks, necessitating accurate predictions for effective management measures for the mitigator of PM2.5.
Yohan Lee, Junghyun Park, Jinseok Kim, Jung-Hun Woo, Jong-Hyeon Lee   +4 more
doaj   +2 more sources

Wildfire Smoke and Cardiorespiratory Emergency Visits in New Mexico 2022: Sensitivity to Exposure Estimates and Referent Periods. [PDF]

Geohealth
Abstract In 2022, New Mexico (NM) experienced a number of wildfires, including the state's largest, Calf Canyon/Hermit's Peak. This study aimed to evaluate how different exposure estimate methods and referent period selection impacted associations between wildfire smoke and health outcomes using a case‐crossover study design.
Sablan O, Ford B, Hawkinson CB, Hu L, Jung J, Langer CE, Maichak C, Maji KJ, Moraga-McHaley S, Russell AG, Uejio CK, VanSickle M, Fischer EV, Pierce JR, Magzamen S.   +14 more
europepmc   +2 more sources

Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign [PDF]

Geoscientific Model Development, 2022
The latest operational National Air Quality Forecast Capability (NAQFC) has been advanced to use the Community Multiscale Air Quality (CMAQ) model (version 5.3.1) with the CB6r3 (Carbon Bond 6 revision 3) AERO7 (version 7 of the aerosol module) chemical ...
Y. Tang, Y. Tang, P. C. Campbell, P. C. Campbell, P. Lee, R. Saylor, F. Yang, B. Baker, D. Tong, D. Tong, A. Stein, J. Huang, J. Huang, H.-C. Huang, H.-C. Huang, L. Pan, L. Pan, J. McQueen, I. Stajner, J. Tirado-Delgado, J. Tirado-Delgado, Y. Jung, M. Yang, I. Bourgeois, I. Bourgeois, J. Peischl, J. Peischl, T. Ryerson, D. Blake, J. Schwarz, J.-L. Jimenez, J. Crawford, G. Diskin, R. Moore, J. Hair, G. Huey, A. Rollins, J. Dibb, X. Zhang   +38 more
doaj   +1 more source

Application and Evaluation of a NOAA GFS-Driven Air Quality Model Using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019. [PDF]

J Geophys Res Atmos
Abstract The National Air Quality Forecast Capability (NAQFC) provides numerical forecasting guidance of air quality up to 72 hr ahead over the United States. In this study, we evaluate the changes in its prediction skills by updating the Community Multiscale Air Quality (CMAQ) modeling system from version 5.3.1 to 5.4 and utilizing a high‐resolution 1‐
Farzad K, Zhang Y, Tong D, Ma S, Tang Y, Huang J, Campbell PC, Pye HOT, Murphy B, Yang F, Baker B, Kang D, Hutzell B, Sarwar G.   +13 more
europepmc   +2 more sources

Application of HHO-CNN-LSTM-based CMAQ correction model in air quality forecasting in Shanghai

能源环境保护, 2023
With rising levels of air-pollution, air-quality forecasting has become integral to the dissemination of human health advisories and the preparation of mitigation strategies.
ZHENG Xinnan, LIN Kaiyan, WANG Zijing, SONG Yuanbo, SHI Yang, LU Hanyue, ZHANG Yalei, SHEN Zheng*   +7 more
doaj   +1 more source

Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 [PDF]

Geoscientific Model Development, 2022
A new dynamical core, known as the Finite-Volume Cubed-Sphere (FV3) and developed at both NASA and NOAA, is used in NOAA's Global Forecast System (GFS) and in limited-area models for regional weather and air quality applications.
P. C. Campbell, P. C. Campbell, Y. Tang, Y. Tang, P. Lee, P. Lee, B. Baker, D. Tong, D. Tong, R. Saylor, A. Stein, J. Huang, J. Huang, H.-C. Huang, H.-C. Huang, E. Strobach, E. Strobach, J. McQueen, L. Pan, L. Pan, I. Stajner, J. Sims, J. Tirado-Delgado, J. Tirado-Delgado, Y. Jung, F. Yang, T. L. Spero, R. C. Gilliam   +27 more
doaj   +1 more source

A Comparative Analysis of Wildland Fire Smoke PM_2.5 Exposure Estimates Across California From 2008 to 2018. [PDF]

Geohealth
Abstract The development of smoke fine particulate matter (PM2.5) exposure surfaces for estimating air pollution trends and associated health effects has advanced considerably. Currently available smoke exposure products rely on various data sources and modeling techniques, as there is no gold standard method for modeling wildfire smoke PM2.5.
Connolly R, Nguyen JT, Walker A, Wilkins J, Ma Y, Aguilera R, Chen C, Gershunov A, Casey JA, Qiu M, Zhang D, Liu Y, Benmarhnia T, Jerrett M, Marlier ME.   +14 more
europepmc   +2 more sources

A multiphase CMAQ version 5.0 adjoint [PDF]

Geoscientific Model Development, 2019
Abstract. We present the development of a multiphase adjoint for the Community Multiscale Air Quality (CMAQ) model, a widely used chemical transport model. The adjoint model provides location- and time-specific gradients that can be used in various applications such as backward sensitivity analysis, source attribution, optimal pollution control, data ...
S. Zhao, M. G. Russell, A. Hakami, S. L. Capps, M. D. Turner, D. K. Henze, P. B. Percell, J. Resler, H. Shen, A. G. Russell, A. Nenes, A. Nenes, A. Nenes, A. J. Pappin, S. L. Napelenok, J. O. Bash, K. M. Fahey, G. R. Carmichael, C. O. Stanier, T. Chai   +19 more
openaire   +6 more sources