the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessing atmospheric dust modelling performance of WRF-Chem over the semi-arid and arid regions around the Mediterranean
Abstract. In this study we aim at optimizing the WRF-Chem model performance for the purpose of operational forecasting of dust transport over the eastern Mediterranean. For this reason, we compare the model output to observations in order to assess its capacity to realistically reproduce the aerosol optical depth (AOD), focusing on three key regions: North Africa, the Arabian Peninsula and the eastern Mediterranean. Three sets of four simulations each have been performed for the six-month period of spring and summer 2011. Each simulation set uses a different dust emission parametrisation and for each parametrisation, the dust emissions are multiplied with various coefficients in order to tune the model performance. Our approach is based on the model assessment across spatial and temporal scales by comparing its outputs to AOD observations from satellites and ground-based stations, as well as airborne measurements of aerosol extinction coefficients over the Sahara.
Tuning the model performance by applying a coefficient to dust emissions may reduce the model AOD bias over a region, but may increase it in other regions. Concerning dust transport over the eastern Mediterranean, the model was shown to realistically reproduce the major transport events, however failing to capture the regional background AOD. Model assessment over the entire domain and simulation period shows that the model presents temporal and spatial variability similar to observed AODs, regardless of the applied dust emission parametrisation. However, when focusing on specific regions, the model’s skill may vary significantly. Further comparison of the model simulations to airborne measurements of the vertical profiles of extinction coefficients over North Africa suggests that the model may realistically reproduce the total atmospheric column AOD. Finally, we show that the inclusion of a finer dust mode (less than 1 μm) in the model presents the advantage of relaxing unrealistically large atmospheric dust loads and yet reproducing realistic AOD values.
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- RC1: 'Review of the acp-2016-307 paper', Anonymous Referee #3, 05 Jul 2016
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RC2: 'Review of the acp-2016-307 paper', Anonymous Referee #3, 05 Jul 2016
- AC2: 'Reply', Emmanouil Flaounas, 03 Sep 2016
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RC3: 'Review of Flaounas et al.', Anonymous Referee #2, 11 Jul 2016
- AC1: 'Reply', Emmanouil Flaounas, 03 Sep 2016
- RC1: 'Review of the acp-2016-307 paper', Anonymous Referee #3, 05 Jul 2016
-
RC2: 'Review of the acp-2016-307 paper', Anonymous Referee #3, 05 Jul 2016
- AC2: 'Reply', Emmanouil Flaounas, 03 Sep 2016
-
RC3: 'Review of Flaounas et al.', Anonymous Referee #2, 11 Jul 2016
- AC1: 'Reply', Emmanouil Flaounas, 03 Sep 2016
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Cited
10 citations as recorded by crossref.
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- Improving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module A. Ukhov et al. 10.5194/gmd-14-473-2021
- Spatial-Temporal Variation Characteristics of Vertical Dust Flux Simulated by WRF-Chem Model with GOCART and AFWA Dust Emission Schemes (Case Study: Central Plateau of Iran) T. Mesbahzadeh et al. 10.3390/app10134536
- Ceilometer evaluation of the eastern Mediterranean summer boundary layer height – first study of two Israeli sites L. Uzan et al. 10.5194/amt-9-4387-2016
- Simulating the meteorology and PM10 concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem) P. Hyde et al. 10.1080/10962247.2017.1357662
- Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. 10.1029/2019JD030248
- Combining POLDER-3 satellite observations and WRF-Chem numerical simulations to derive biomass burning aerosol properties over the southeast Atlantic region A. Siméon et al. 10.5194/acp-21-17775-2021
- Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modeling, satellite imagery, and ground observations F. Karagulian et al. 10.1007/s11869-019-00674-z