Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-169
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 07 Aug 2018

Development and technical paper | 07 Aug 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

The AFWA Dust Emissions Scheme for the GOCART Aerosol Model in WRF-Chem

Sandra L. LeGrand1, Chris Polashenski2,3, Theodore W. Letcher1, Glenn A. Creighton4, Steven E. Peckham1, and Jeffrey D. Cetola5 Sandra L. LeGrand et al.
  • 1U.S. Army Engineer Research and Development Center, Hanover, NH USA
  • 2Alaska Projects Office, U.S. Army Cold Regions Research and Engineering Laboratory, Fairbanks, AK USA
  • 3Thayer School of Engineering, Dartmouth College, Hanover, NH USA
  • 4U.S. Air Force 557th Weather Wing, 16th Weather Squadron, Offutt Air Force Base, NE USA
  • 5U.S. Air Force, Joint Base Langley-Eustis, VA USA

Abstract. Airborne particles of mineral dust play a key role in Earth's climate system and affect human activities around the globe. The numerical weather modeling community has undertaken considerable efforts to accurately forecast these dust emissions. Here, for the first time in the literature, we thoroughly describe and document the Air Force Weather Agency (AFWA) dust emission scheme for the GOCART aerosol model within the Weather Research and Forecasting Chemistry (WRF-Chem) model and compare it to the other dust emission parameterizations available in WRF-Chem. The AFWA dust emission scheme addresses some shortcomings experienced by the earlier GOCART-WRF parameterization. Improved model physics are designed to better handle emission of fine dust particles by representing saltation bombardment. Model performance with the improved parameterization is evaluated against observations of dust emission in southwest Asia and compared to emissions predicted by the other parameterizations built into the WRF-Chem GOCART model. Results highlight the relative strengths of the available schemes, indicate the reasons for disagreement between the models, and demonstrate the need for improved soil source data.

Sandra L. LeGrand et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Topical Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Sandra L. LeGrand et al.
Sandra L. LeGrand et al.
Viewed
Total article views: 481 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
367 108 6 481 6 7
  • HTML: 367
  • PDF: 108
  • XML: 6
  • Total: 481
  • BibTeX: 6
  • EndNote: 7
Views and downloads (calculated since 07 Aug 2018)
Cumulative views and downloads (calculated since 07 Aug 2018)
Viewed (geographical distribution)
Total article views: 481 (including HTML, PDF, and XML) Thereof 478 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
No discussed metrics found.
Latest update: 17 Oct 2018
Publications Copernicus
Special issue
Download
Short summary
This paper reviews the history, code, and performance of the three dust emission schemes embedded in the WRF-Chem model, including the GOCART, AFWA, and UoC dust emission schemes, and provides the first full documentation of the AFWA scheme. A simulation case study is provided to explore differences in model output. Results highlight the relative strengths of each scheme, indicate reasons for disagreement, and demonstrate the need for improved terrain characterization in dust emission models.
This paper reviews the history, code, and performance of the three dust emission schemes...
Citation
Share