Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1)
نویسندگان
چکیده
Abstract. The National Oceanic and Atmospheric Administration (NOAA)'s Weather Service (NWS) is on its way to deploying various operational prediction applications using the Unified Forecast System (https://ufscommunity.org/, last access: 18 June 2022), a community-based coupled, comprehensive Earth modeling system. An aerosol model component developed in collaboration between Global Systems Laboratory, Chemical Science Air Resources Environmental Modeling Center (GSL, CSL, ARL, EMC) was coupled online with FV3 (FV3GFS) Operational Prediction Capability (NUOPC)-based NOAA (NEMS) software framework. This system replaced NEMS GFS Aerosol Component version 2 (NGACv2) for Environment (NCEP) production suite September 2020 as one of ensemble members Ensemble (GEFS), dubbed GEFS-Aerosols v1. atmospheric composition GEFS based Research Forecasting Chemistry (WRF-Chem). includes bulk modules from Goddard Radiation Transport (GOCART). Additionally, biomass burning plume rise module High-Resolution Rapid Refresh (HRRR)-Smoke WRF-Chem implemented. GOCART dust scheme by FENGSHA (developed ARL). Blended Biomass Burning Emissions Product (GBBEPx 3) provides emission fire radiative power (FRP) data. global anthropogenic inventories are derived Community Data (CEDS). All sub-grid-scale transport deposition handled inside physics routines, which required consistent implementation positive definite tracer wet scavenging parameterizations used NCEP's FV3GFS. paper describes details development evaluation real-time retrospective runs different observations situ measurement satellite aircraft predictions demonstrate substantial improvements both variability distributions over those former NGACv2 fundamental updates (e.g., emission) chemical model.
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ژورنال
عنوان ژورنال: Geoscientific Model Development
سال: 2022
ISSN: ['1991-9603', '1991-959X']
DOI: https://doi.org/10.5194/gmd-15-5337-2022