Articles | Volume 3, issue 1
https://doi.org/10.5194/gmd-3-309-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-3-309-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
16 Apr 2010
Assessment of bias-adjusted PM2.5 air quality forecasts over the continental United States during 2007
D. Kang
Computer Science Corporation, Research Triangle Park, 79 T.W. Alexander Drive, NC 27709, USA
R. Mathur
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
S. Trivikrama Rao
Atmospheric Modeling and Analysis Division, National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
Viewed
Total article views: 3,810 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 Dec 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,113 | 1,522 | 175 | 3,810 | 219 | 144 |
- HTML: 2,113
- PDF: 1,522
- XML: 175
- Total: 3,810
- BibTeX: 219
- EndNote: 144
Total article views: 3,171 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 16 Apr 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,872 | 1,147 | 152 | 3,171 | 190 | 134 |
- HTML: 1,872
- PDF: 1,147
- XML: 152
- Total: 3,171
- BibTeX: 190
- EndNote: 134
Total article views: 639 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 08 Dec 2009)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 241 | 375 | 23 | 639 | 29 | 10 |
- HTML: 241
- PDF: 375
- XML: 23
- Total: 639
- BibTeX: 29
- EndNote: 10
Cited
25 citations as recorded by crossref.
- Modeling regional aerosol and aerosol precursor variability over California and its sensitivity to emissions and long-range transport during the 2010 CalNex and CARES campaigns J. Fast et al. 10.5194/acp-14-10013-2014
- Comparison of exposure estimation methods for air pollutants: Ambient monitoring data and regional air quality simulation M. Bravo et al. 10.1016/j.envres.2012.04.008
- Kalman filter sensitivity tests for the NWP and analog-based forecasts post-processing I. Vujec & I. Odak Plenković 10.1007/s00703-022-00939-w
- Assessment of Kalman filter bias-adjustment technique to improve the simulation of ground-level ozone over Spain V. Sicardi et al. 10.1016/j.scitotenv.2011.11.050
- A Review of Air Quality Modeling K. Karroum et al. 10.1007/s12647-020-00371-8
- How bias-correction can improve air quality forecasts over Portugal C. Borrego et al. 10.1016/j.atmosenv.2011.09.006
- Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM2.5 Forecast in Korea S. Cho et al. 10.3390/atmos12030411
- Transport and mixing patterns over Central California during the carbonaceous aerosol and radiative effects study (CARES) J. Fast et al. 10.5194/acp-12-1759-2012
- Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe S. Basart et al. 10.5194/acp-12-3363-2012
- Using a Bayesian Regression Approach on Dual-Model Windstorm Simulations to Improve Wind Speed Prediction J. Yang et al. 10.1175/JAMC-D-16-0206.1
- Operational bias correction for PM2.5 using the AIRPACT air quality forecast system in the Pacific Northwest N. June et al. 10.1080/10962247.2020.1856216
- Kalman filter-based air quality forecast adjustment K. De Ridder et al. 10.1016/j.atmosenv.2012.01.032
- Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan F. Cheng et al. 10.1016/j.atmosenv.2020.117909
- Application of bias adjustment techniques to improve air quality forecasts C. Silibello et al. 10.1016/j.apr.2015.04.002
- Analysis of long-range transport of aerosols for Portugal using 3D chemical transport model and satellite measurements O. Tchepel et al. 10.1016/j.atmosenv.2012.09.061
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- 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 T. Chai et al. 10.1002/2016JD026295
- Gridded bias correction of modeled PM2.5 for exposure assessment, and estimation of background concentrations over a coastal valley region of northwestern British Columbia, Canada C. Onwukwe & P. Jackson 10.1080/10962247.2020.1844342
- Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. 10.1029/2019JD032293
- Modeling in Earth system science up to and beyond IPCC AR5 T. Hajima et al. 10.1186/s40645-014-0029-y
- Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States M. Astitha et al. 10.1016/j.atmosenv.2017.05.020
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10 Y. Koo et al. 10.1016/j.atmosenv.2012.02.004
- Kalman Filter and Analog Schemes to Postprocess Numerical Weather Predictions L. Delle Monache et al. 10.1175/2011MWR3653.1
- Real-time bias-adjusted O3 and PM2.5 air quality index forecasts and their performance evaluations over the continental United States D. Kang et al. 10.1016/j.atmosenv.2010.03.017
24 citations as recorded by crossref.
- Modeling regional aerosol and aerosol precursor variability over California and its sensitivity to emissions and long-range transport during the 2010 CalNex and CARES campaigns J. Fast et al. 10.5194/acp-14-10013-2014
- Comparison of exposure estimation methods for air pollutants: Ambient monitoring data and regional air quality simulation M. Bravo et al. 10.1016/j.envres.2012.04.008
- Kalman filter sensitivity tests for the NWP and analog-based forecasts post-processing I. Vujec & I. Odak Plenković 10.1007/s00703-022-00939-w
- Assessment of Kalman filter bias-adjustment technique to improve the simulation of ground-level ozone over Spain V. Sicardi et al. 10.1016/j.scitotenv.2011.11.050
- A Review of Air Quality Modeling K. Karroum et al. 10.1007/s12647-020-00371-8
- How bias-correction can improve air quality forecasts over Portugal C. Borrego et al. 10.1016/j.atmosenv.2011.09.006
- Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM2.5 Forecast in Korea S. Cho et al. 10.3390/atmos12030411
- Transport and mixing patterns over Central California during the carbonaceous aerosol and radiative effects study (CARES) J. Fast et al. 10.5194/acp-12-1759-2012
- Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe S. Basart et al. 10.5194/acp-12-3363-2012
- Using a Bayesian Regression Approach on Dual-Model Windstorm Simulations to Improve Wind Speed Prediction J. Yang et al. 10.1175/JAMC-D-16-0206.1
- Operational bias correction for PM2.5 using the AIRPACT air quality forecast system in the Pacific Northwest N. June et al. 10.1080/10962247.2020.1856216
- Kalman filter-based air quality forecast adjustment K. De Ridder et al. 10.1016/j.atmosenv.2012.01.032
- Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan F. Cheng et al. 10.1016/j.atmosenv.2020.117909
- Application of bias adjustment techniques to improve air quality forecasts C. Silibello et al. 10.1016/j.apr.2015.04.002
- Analysis of long-range transport of aerosols for Portugal using 3D chemical transport model and satellite measurements O. Tchepel et al. 10.1016/j.atmosenv.2012.09.061
- Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
- 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 T. Chai et al. 10.1002/2016JD026295
- Gridded bias correction of modeled PM2.5 for exposure assessment, and estimation of background concentrations over a coastal valley region of northwestern British Columbia, Canada C. Onwukwe & P. Jackson 10.1080/10962247.2020.1844342
- Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. 10.1029/2019JD032293
- Modeling in Earth system science up to and beyond IPCC AR5 T. Hajima et al. 10.1186/s40645-014-0029-y
- Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States M. Astitha et al. 10.1016/j.atmosenv.2017.05.020
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- Performance evaluation of the updated air quality forecasting system for Seoul predicting PM10 Y. Koo et al. 10.1016/j.atmosenv.2012.02.004
- Kalman Filter and Analog Schemes to Postprocess Numerical Weather Predictions L. Delle Monache et al. 10.1175/2011MWR3653.1
Saved (final revised paper)
Saved (preprint)
Latest update: 17 Jul 2024
