Comment on egusphere-2026-1807
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract. The Global Ensemble Forecast System (GEFS) version 12 has been operational at the National Centers for Environmental Prediction since September 2020, with GEFS-Aerosols serving as its global aerosol forecasting member. In 2023, GEFS-Aerosols was upgraded to version 12.3 in operations, incorporating improvements to wet deposition, anthropogenic and biomass burning emissions, aerosol optical depth calculations, and the FENGSHA dust emission scheme. While GEFS-Aerosols provides valuable operational aerosol forecasts on medium-range timescales, its one-way coupling strategy restricts aerosol–atmosphere interactions to prescribed climatological fields, thereby precluding fully interactive aerosol feedbacks for extended-range prediction. To overcome this limitation, we develop the Unified Forecast System coupled with Chemistry (UFS-Chem), which incorporates the Configurable Atmospheric Chemistry (CATChem) library and modeling component to include both aerosol and gas-phase chemistry schemes. In the current UFS-Chem configuration, the aerosol component is based on the operational GEFS-Aerosols v12.3 and implemented using the Common Community Physics Package (CCPP) framework. Relative to GEFS-Aerosols v12.3, UFS-Chem incorporates several enhancements, including inline aerosol radiative feedback, inline large-scale wet deposition, and updated FENGSHA dust scheme. In particular, the integration of inline large-scale wet deposition and aerosol indirect effects through the Thompson aerosol-aware microphysics scheme improves the representation of aerosol–cloud interactions and supports weather and subseasonal-to-seasonal forecasting when fully coupled with ocean, sea ice, land, and wave components. The performance of UFS-Chem in weather and subseasonal prediction is evaluated against reanalysis data, ground-based measurements, and satellite observations. The relative impacts of aerosol radiative and indirect feedback on weather and subseasonal predictions are investigated and quantified, advancing our understanding of how aerosol–radiation and aerosol–cloud interactions influence forecast skill across timescales.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Comment on egusphere-2026-1807
- Date Crossref
- 19/05/2026
- Éditeur
- Copernicus GmbH
- Type
- peer-review
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
University of Colorado Boulder CIRES pays non établi dans la noticeUniversité ou école supérieure
-
University of Colorado System pays non établi dans la noticeUniversité ou école supérieure
-
NOAA Global Systems Laboratory pays non établi dans la noticeOrganisme public
-
NOAA Earth System Research Laboratory pays non établi dans la noticeOrganisme public
-
NSF National Center for Atmospheric Research pays non établi dans la noticeStructure de recherche
-
National Oceanic and Atmospheric Administration pays non établi dans la noticeOrganisme public
-
NOAA Chemical Sciences Laboratory pays non établi dans la noticeOrganisme public
-
University Corporation for Atmospheric Research Cooperative Programs for the Advancement of Earth System Sciences pays non établi dans la noticeOrganisation à but non lucratif
-
Naval Postgraduate School pays non établi dans la noticeUniversité ou école supérieure
-
NOAA Center for Satellite Applications and Research pays non établi dans la noticeOrganisme public
-
retired pays non établi dans la noticeInstitution
-
visiting scientist at: National Science Foundation National Center for Atmospheric Research (NCAR) pays non établi dans la noticeOrganisation à but non lucratif
CIRES — University of Colorado Boulder, University of Colorado System et NOAA Global Systems Laboratory, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.