Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model

Pan, Li; Bhattacharjee, Partha S.; Zhang, Li; Montuoro, Raffaele; Baker, Barry; McQueen, Jeff; Grell, Georg A.; McKeen, Stuart A.; Kondragunta, Shobha; Zhang, Xiaoyang; Frost, Gregory J.; Yang, Fanglin; Stajner, Ivanka

doi:10.5194/gmd-17-431-2024

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model

2024
By Pan, Li ; Bhattacharjee, Partha S. ; Zhang, Li ; ...
Source: Geoscientific Model Development, 17(1), 431-447

[PDF-10.28 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details You May Also Like

Details:

Journal Title:

Geoscientific Model Development
Personal Author:

Pan, Li ; Bhattacharjee, Partha S. ; Zhang, Li ; Montuoro, Raffaele ; Baker, Barry ; ... More +

Pan, Li ; Bhattacharjee, Partha S. ; Zhang, Li ; Montuoro, Raffaele ; Baker, Barry ; McQueen, Jeff ; Grell, Georg A. ; McKeen, Stuart A. ; Kondragunta, Shobha ; Zhang, Xiaoyang ; Frost, Gregory J. ; Yang, Fanglin ; Stajner, Ivanka Less -
NOAA Program & Office:

NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; EMC (Environmental Modelling Center) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; OAR (Oceanic and Atmospheric Research) ; ... More +

NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; EMC (Environmental Modelling Center) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; OAR (Oceanic and Atmospheric Research) ; GSL (Global Systems Laboratory) ; ARL (Air Resources Laboratory) ; CSL (Chemical Sciences Laboratory) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

In September 2020, a global aerosol forecasting model was implemented as an ensemble member of the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) Global Ensemble Forecasting System (GEFS) v12.0.1 (hereafter referred to as “GEFS-Aerosols”). In this study, GEFS-Aerosols simulation results from 1 September 2019 to 30 September 2020 were evaluated using an aerosol budget analysis. These results were compared with results from other global models as well as reanalysis data. From this analysis, the global average lifetimes of black carbon (BC), organic carbon (OC), dust, sea salt, and sulfate are 4.06, 4.29, 4.59, 0.34, and 3.3 d, respectively, with the annual average loads of 0.14, 1.29, 4.52, 6.80, and 0.51 Tg. Compared with the National Aeronautics and Space Administration (NASA) Goddard Earth Observing System–Goddard Chemistry Aerosol and Radiation Transport (GEOS4-GOCART) model, the aerosols in GEFS-Aerosols have a relatively short lifetime because of the faster removal processes in GEFS-Aerosols. Meanwhile, in GEFS-Aerosols, aerosol emissions are the determining factor for the mass and composition of aerosols in the atmosphere. The size (bin) distribution of aerosol emissions is as important as its total emissions, especially in simulations of dust and sea salt. Moreover, most importantly, the strong monthly and interannual variations in natural sources of aerosols in GEFS-Aerosols suggest that improving the accuracy of the prognostic concentrations of aerosols is important for applying aerosol feedback to weather and climate predictions.
Source:

Geoscientific Model Development, 17(1), 431-447
DOI:

https://doi.org/10.5194/gmd-17-431-2024
ISSN:

1991-9603
Format:

PDF
Publisher:

Copernicus GmbH
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:2451ece45992bab78c7841d114db3a6f2fbb756dff594bc6e4639fd343bda714
Download URL:

https://repository.library.noaa.gov/view/noaa/61129/noaa_61129_DS1.pdf
File Type:

No Additional Files

More +

Analysis of the GEFS-Aerosols annual budget to better understand aerosol predictions simulated in the model

Details:

Supporting Files

You May Also Like