Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5337-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5337-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 Jul 2022
Model description paper |
| 13 Jul 2022
| 13 Jul 2022
Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1)
Li Zhang
CORRESPONDING AUTHOR
CIRES, University of Colorado, Boulder, CO, USA
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Raffaele Montuoro
CIRES, University of Colorado, Boulder, CO, USA
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Environmental Modeling Center, National Weather Service, College Park, MD, USA
Stuart A. McKeen
CIRES, University of Colorado, Boulder, CO, USA
Chemical Sciences Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Barry Baker
NOAA Air Resources Laboratory, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Partha S. Bhattacharjee
I.M. Systems Group at NCEP/NWS/EMC, College Park, MD, USA
Georg A. Grell
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Judy Henderson
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
I.M. Systems Group at NCEP/NWS/EMC, College Park, MD, USA
Gregory J. Frost
Chemical Sciences Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Jeff McQueen
Environmental Modeling Center, National Weather Service, College Park, MD, USA
Rick Saylor
NOAA Air Resources Laboratory, Oak Ridge, TN, USA
Haiqin Li
CIRES, University of Colorado, Boulder, CO, USA
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Ravan Ahmadov
CIRES, University of Colorado, Boulder, CO, USA
Global Systems Laboratory, Earth System Research Laboratories, NOAA, Boulder, CO, USA
Jun Wang
Environmental Modeling Center, National Weather Service, College Park, MD, USA
Ivanka Stajner
Environmental Modeling Center, National Weather Service, College Park, MD, USA
Shobha Kondragunta
NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USA
Xiaoyang Zhang
Geospatial Science Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, USA
Fangjun Li
Geospatial Science Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, USA
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Cited
9 citations as recorded by crossref.
- Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS) A. Collow et al. 10.5194/gmd-17-1443-2024
- A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. 10.5194/gmd-17-607-2024
- The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. 10.5194/gmd-17-795-2024
- Updating and Evaluating Anthropogenic Emissions for NOAA’s Global Ensemble Forecast Systems for Aerosols (GEFS-Aerosols): Application of an SO2 Bias-Scaling Method G. Jeong et al. 10.3390/atmos14020234
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
- Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model L. Pan et al. 10.5194/gmd-17-431-2024
- Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. 10.5194/gmd-15-5337-2022
- The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator C. Lu et al. 10.5194/gmd-15-1317-2022
7 citations as recorded by crossref.
- Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS) A. Collow et al. 10.5194/gmd-17-1443-2024
- A simple and realistic aerosol emission approach for use in the Thompson–Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022) H. Li et al. 10.5194/gmd-17-607-2024
- The prototype NOAA Aerosol Reanalysis version 1.0: description of the modeling system and its evaluation S. Wei et al. 10.5194/gmd-17-795-2024
- Updating and Evaluating Anthropogenic Emissions for NOAA’s Global Ensemble Forecast Systems for Aerosols (GEFS-Aerosols): Application of an SO2 Bias-Scaling Method G. Jeong et al. 10.3390/atmos14020234
- Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al. 10.1029/2022JD037298
- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
- Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model L. Pan et al. 10.5194/gmd-17-431-2024
2 citations as recorded by crossref.
- Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. 10.5194/gmd-15-5337-2022
- The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator C. Lu et al. 10.5194/gmd-15-1317-2022
Latest update: 16 Nov 2024
Short summary
The NOAA’s air quality predictions contribute to protecting lives and health in the US, which requires sustainable development and improvement of forecast systems. GEFS-Aerosols v1 has been developed in a collaboration between the NOAA research laboratories for operational forecast since September 2020 in the NCEP. The predictions demonstrate substantial improvements for both composition and variability of aerosol distributions over those from the former operational system.
The NOAA’s air quality predictions contribute to protecting lives and health in the US, which...
