The AFWA dust emission scheme for the GOCART  aerosol model in WRF-Chem v3.8.1

LeGrand, Sandra L.; Polashenski, Chris; Letcher, Theodore W.; Creighton, Glenn A.; Peckham, Steven E.; Cetola, Jeffrey D.

doi:10.5194/gmd-12-131-2019

Cited by 109 publications

(152 citation statements)

References 103 publications

Supporting

Mentioning

149

Contrasting

Order By: Relevance

“…S1 in the Supplement). The AFWA dust scheme is a modified version of the dust scheme by Marticorena and Bergametti (1995), developed by the US Air Force Weather Agency (LeGrand et al, 2019). Unlike the GOCART scheme, friction velocity is introduced into this scheme and the dust emission is calculated as a saltation flux and vertical uplift dust flux, which is proportional to the horizontal saltation flux and based on the soil clay content (Marticorena and Bergametti, 1995).…”

Section: Dust Schemes In Wrf-chem V391mentioning

confidence: 99%

“…This revision could increase the saltation flux by a factor of 2 or more. More detailed physical descriptions and defects in source codes of the three abovementioned dust schemes in WRF-Chem have been explicitly documented, and all schemes have been evaluated over southwest Asia in LeGrand et al (2019).…”

Section: Dust Schemes In Wrf-chem V391mentioning

confidence: 99%

“…Meanwhile, the misuse in number and distribution of saltation size bins in AFWA might also be part of the reason. The last three bins of the total nine saltation size bins were sandsized bins, and they were also configured to constitute all of the possible sand mass fractions, which indicated that the sand in the soil surface was entirely composed of fine sands, resulting in the increase in the strength of the saltation binspecific weighting factors and emission of the dust particles (LeGrand et al, 2019). In addition, we found that the simulated dust concentration with these three schemes generally presented overpredictions in this area; this might be because of the usage of the Pleim-Xiu (PX) land-surface scheme.…”

Section: Comparison Of Erodible Land Fractions In Cmaq V521 and Chimentioning

confidence: 99%

“…Numerical dust models are often used to assess the magnitude of windblown dust emission and to predict its effects on air quality and climate. Several dust schemes to estimate the dust flux into the atmosphere and other relevant parameters have been proposed in the past 20 years; some have been coupled with air quality models, such as WRF-Chem (Kang et al, 2011;Su and Fung, 2015;Flaounas et al, 2017), CMAQ Foroutan et al, 2017), CAMx (Klingmüller et al, 2018), CHIMERE (Menut et al, 2013a;Mailler et al, 2017), ALADIN-SURFEX (Mokhtari et al, 2012), LOTOS-EUROS (Manders-Groot et al, 2016), EMEP MSC-W (Simpson et al, 2012), NAQPMS (Li et al, 2012), and CUACE/Haze . These models are widely used to study the air quality and climate effects of dust emissions.…”

Section: Introductionmentioning

confidence: 99%

“…The selection and usage of dust emission schemes and their input datasets are very important in establishing reliable air quality prediction. The evaluation and validation of dust emission schemes and relevant datasets in different air quality models on a continental scale has been carried out for East Asia (Dong et al, 2016), western Asia (Nabavi et al, 2017;LeGrand et al, 2019), North America (Foroutan et al, 2017), Europe, northern Africa, and the Middle East (Menut et al, 2013b;Flaounas et al, 2017;Rizza et al, 2017). Nevertheless, evaluation of the regional performance of different air quality models and dust schemes remains inadequate.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Zhang

Gao

et al. 2019

Geosci. Model Dev.

View full text Add to dashboard Cite

Abstract. Mineral dust particles play an important role in the Earth system, imposing a variety of effects on air quality, climate, human health, and economy. Accurate forecasts of dust events are highly desirable to provide an early warning and inform the decision-making process. East Asia is one of the largest dust sources in the world. This study applies and evaluates four widely used regional air quality models to simulate dust storms in northeastern China. Three dust schemes in the Weather Research and Forecasting model with Chemistry (WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ (version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a dust event during 4–6 May 2015 in northeastern China. Most of these models were able to capture this dust event with the exception of CAMx, which has no dust source map covering the study area; hence, another dust source mask map was introduced to replace the default one for the subsequent simulation. Although these models reproduced the spatial pattern of the dust plume, there were large discrepancies between predicted and observed PM10 concentrations in each model. In general, CHIMERE had relatively better performance among all simulations with default configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using a seasonal dust source map from Ginoux et al. (2012) showed the best performance, followed by WRF-Chem with the UOC_Shao2004 scheme, CHIMERE, and CMAQ. The performance of CAMx had significantly improved by substituting the default dust map and removing the friction velocity limitation. This study suggested that the dust source maps should be carefully selected on a regional scale or replaced with a new one constructed with local data. Moreover, further study and measurement of sandblasting efficiency of different soil types and locations should be conducted to improve the accuracy of estimated vertical dust fluxes in air quality models.

show abstract

Section: Dust Schemes In Wrf-chem V391mentioning

confidence: 99%

Section: Dust Schemes In Wrf-chem V391mentioning

confidence: 99%

Section: Comparison Of Erodible Land Fractions In Cmaq V521 and Chimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Zhang

Gao

et al. 2019

Geosci. Model Dev.

View full text Add to dashboard Cite

show abstract

Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability

Karumuri

Kunchala

Attada

et al. 2021

Intl Journal of Climatology

View full text Add to dashboard Cite

This study investigates the climatology and variability of summer aerosol optical depth (AOD) over the Arabian Peninsula (AP) using a long-term high-resolutionWeather Research and Forecasting model coupled with the chemistry module (WRF-Chem) simulation, available ground-based and satellite observations, and reanalysis products from 2008 to 2018. The simulated spatial distribution of the summer AOD agrees well with the satellite observations and reanalysis over the AP, with spatial correlation coefficients of 0.81/0.83/0.89 with MODIS-A/MODIS-T/MERRA-2, respectively. Higher values of summertime AOD are broadly found over the eastern AP regions and the southern Red Sea and minima over the northern Red Sea and northwest AP, consistent with observational datasets. The WRF-Chem simulation suggests that the two regions of high AOD are associated with dust advected from the Tigris-Euphrates by the northwesterly summer Shamal wind in the eastern AP and from the African Sahara via Sudan by westerly winds through the Tokar Gap for the southern AP. The high AOD over the south-central east AP is due to locally generated dust by the action of northerly winds, modulated by variations in relative humidity, vertical motion, soil moisture, and soil temperature over the desert regions. The vertical extent of this dust is primarily driven by upward motion triggered by thermal convection over the local source region. In terms of interannual variability, summer AOD exhibits significant yearto-year variations over the AP region. In particular, enhanced (reduced) AOD over the southern AP (Persian Gulf) is observed during La Niña conditions, favoured by stronger (weaker) Tokar westerly (northwesterly summer Shamal) winds. HighlightsThis study evaluated the long-term simulations of AOD using high resolution WRF-Chem model over the AP. WRF-Chem successfully simulated the summer AOD climatology and its variability.

show abstract

Impacts of land cover changes on dust emissions in northern China (2000–2020)

Song,

Min,

Song

et al. 2024

Land Degrad Dev

View full text Add to dashboard Cite

Land cover is a key factor affecting dust emissions. Substantial changes in land cover have occurred due to human activities and climate change in northern China. However, the extent to which these changes influence dust emissions is still controversial. Here, we explored the specific impact of land use type transformation on dust emissions between 2000 and 2020 by using the Weather Research and Forecasting model coupled with Chemistry (WRF‐Chem) from the perspective of land cover changes. Two scenarios were set up and compared to quantify this impact. One scenario was using the land cover data in 2000, and the other scenario was to use the land cover data in 2020. Both scenarios were driven by the initial meteorological conditions in 2020. Results indicated that the land cover changes between 2000 and 2020 reduced dust emissions in northern China, but the weakened intensity showed obvious spatial differences. Different land use conversion types had significant differences in their impact on dust emissions. Transforming bare areas to water bodies can reduce dust emissions by up to −3.62 g m−2 year−1. This is followed by the change from bare areas to sparse vegetation areas, which can decrease dust emissions by −2.9 g m−2 year−1, and then by the conversion from bare areas to cropland, with a reduction of −2.57 g m−2 year−1. These findings can offer methodologies and data support for the quantitative evaluation of the effects of land cover changes on dust emissions. They can also serve as a reference for environmental management when formulating land use policies.

show abstract

The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1

Cited by 109 publications

References 103 publications

Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability

Impacts of land cover changes on dust emissions in northern China (2000–2020)

Contact Info

Product

Resources

About