Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2315-2018
© Author(s) 2018. 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-11-2315-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
19 Jun 2018
Model description paper |
| 19 Jun 2018
| 19 Jun 2018
The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions
Jun Wang
CORRESPONDING AUTHOR
NOAA/NWS National Centers for Environment Prediction, College Park, MD 20740, USA
Partha S. Bhattacharjee
I. M. Systems Group, INC. at NOAA/NWS National Centers for Environment Prediction, College Park, MD 20740, USA
Vijay Tallapragada
NOAA/NWS National Centers for Environment Prediction, College Park, MD 20740, USA
Cheng-Hsuan Lu
University at Albany, State University of New York, Albany, NY 12222, USA
Shobha Kondragunta
NOAA/NESDIS Satellite Applications and Research Center, College Park, MD 20740, USA
Arlindo da Silva
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Xiaoyang Zhang
South Dakota State University, Brookings, SD 57007, USA
Sheng-Po Chen
University at Albany, State University of New York, Albany, NY 12222, USA
Shih-Wei Wei
University at Albany, State University of New York, Albany, NY 12222, USA
Anton S. Darmenov
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jeff McQueen
NOAA/NWS National Centers for Environment Prediction, College Park, MD 20740, USA
Pius Lee
NOAA/OAR Air Resource Laboratory, College Park, MD 20740, USA
Prabhat Koner
University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD 20740, USA
Andy Harris
University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD 20740, USA
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Cited
17 citations as recorded by crossref.
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- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
- 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
- Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F. Li et al. 10.1016/j.atmosenv.2019.05.017
- Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product F. Li et al. 10.3390/rs12101561
- An adapted hourly Himawari-8 fire product for China: principle, methodology and verification J. Chen et al. 10.5194/essd-15-1911-2023
- 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
- The Impact of Aerosols on Satellite Radiance Data Assimilation Using NCEP Global Data Assimilation System S. Wei et al. 10.3390/atmos12040432
- Evaluation of MWHS-2 Using a Co-located Ground-Based Radar Network for Improved Model Assimilation . Liu et al. 10.3390/rs11202338
- The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. 10.5194/gmd-11-2333-2018
- Investigating the impact of Saharan dust aerosols on analyses and forecasts of African easterly waves by constraining aerosol effects in radiance data assimilation D. Grogan et al. 10.5194/acp-22-2385-2022
- Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events Y. Tang et al. 10.5194/acp-21-2527-2021
- 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
- A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records F. Li et al. 10.1016/j.rse.2019.111600
- Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
- The Development of the NCEP Global Ensemble Forecast System Version 12 X. Zhou et al. 10.1175/WAF-D-21-0112.1
- 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
17 citations as recorded by crossref.
- Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
- JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP B. Huang et al. 10.1029/2022MS003232
- 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
- Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States F. Li et al. 10.1016/j.atmosenv.2019.05.017
- Biomass Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product F. Li et al. 10.3390/rs12101561
- An adapted hourly Himawari-8 fire product for China: principle, methodology and verification J. Chen et al. 10.5194/essd-15-1911-2023
- 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
- The Impact of Aerosols on Satellite Radiance Data Assimilation Using NCEP Global Data Assimilation System S. Wei et al. 10.3390/atmos12040432
- Evaluation of MWHS-2 Using a Co-located Ground-Based Radar Network for Improved Model Assimilation . Liu et al. 10.3390/rs11202338
- The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 2: Evaluation of aerosol optical thickness P. Bhattacharjee et al. 10.5194/gmd-11-2333-2018
- Investigating the impact of Saharan dust aerosols on analyses and forecasts of African easterly waves by constraining aerosol effects in radiance data assimilation D. Grogan et al. 10.5194/acp-22-2385-2022
- Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events Y. Tang et al. 10.5194/acp-21-2527-2021
- 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
- A preliminary evaluation of GOES-16 active fire product using Landsat-8 and VIIRS active fire data, and ground-based prescribed fire records F. Li et al. 10.1016/j.rse.2019.111600
- Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
- The Development of the NCEP Global Ensemble Forecast System Version 12 X. Zhou et al. 10.1175/WAF-D-21-0112.1
- 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
Latest update: 24 Apr 2024
Short summary
The NEMS GFS Aerosol Component (NGAC) version 2.0 for global multispecies aerosol forecast was developed at NCEP. Additional sea salt, sulfate, organic carbon, and black carbon aerosol species were included. This implementation advanced the global aerosol forecast capability and made a step forward toward developing a global aerosol data assimilation system. The aerosol products from this system have been provided to meet the stakeholder's needs.
The NEMS GFS Aerosol Component (NGAC) version 2.0 for global multispecies aerosol forecast was...
