Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region)

Rizza, Umberto; Miglietta, Mario Marcello; Mangia, Cristina; Ielpo, Pierina; Morichetti, Mauro; Iachini, Chiara; Virgili, Simone; Passerini, G.

doi:10.1016/j.atmosres.2017.10.022

Cited by 37 publications

(23 citation statements)

References 46 publications

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“…They showed a significant socioeconomic impact of all studied dust events reflected in the degradation of visibility and air quality conditions. Radi et al (2008) verified predictions of the Weather Research Forecasting-Chemistry (WRF-Chem) model against local observations of CO, NO X , SO 2 , and O 3 over the United Arab Emirates (UAE). They showed acceptable model performance as WRF-Chem-simulated AOD agreed well with observed AERONET AOD values.…”

Section: Introductionsupporting

confidence: 59%

Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modeling, satellite imagery, and ground observations

Karagulian

Temimi

Ghebreyesus

et al. 2019

Air Qual Atmos Health

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This study presents a comprehensive analysis of an extreme dust event recorded in the Arabian Peninsula and the United Arab Emirates (UAE) between 31 March and 3 April 2015. Simulations of the dust event with the Weather Research and Forecasting model coupled with the Chemistry module (WRF-Chem) were analyzed and verified using MSG-SEVIRI imagery and aerosol optical depth (AOD) from the recent 1-km Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm for MODIS Terra/Aqua. Data from the National Centers for Atmospheric Prediction/National Center for Atmospheric Research (NCEP/NCAR) and the upper-air radiosonde observations were used to understand the synoptic of the event. In addition, the impact of the event on atmospheric and air quality conditions is investigated. The Air Quality Index (AQI) was calculated prior, during, and after the event to assess the degradation of air quality conditions. Simulated temperature, relative humidity, wind speed, and surface radiation were compared to observations at six monitoring stations in the UAE giving R 2 values of 0.84, 0.63, 0.60, and 0.84, respectively. From 1 to 2 April 2015, both observations and simulations showed an average drop in temperature from 33 to 26°C and radiance reduction from about 950 to 520 Wm −2. The AOD modeled by WRF-Chem showed a good correlation with Aerosol Robotic Network (AERONET) measurements in the UAE with R 2 of 0.83. The AQI over the UAE reached hazardous levels during the peak of the dust event before rapidly decreasing to moderate-good air quality levels. This work is the first attempt to demonstrate the potential of using WRF-Chem to estimate AQI over the UAE along with two satellite products (MODIS-MAIAC and MSG-SEVIRI) for dust detection and tracking.

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Section: Introductionsupporting

confidence: 59%

Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modeling, satellite imagery, and ground observations

Karagulian

Temimi

Ghebreyesus

et al. 2019

Air Qual Atmos Health

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“…This last has been modified to better match the diurnal precipitation changes with the observations. Numerous studies [23,[35][36][37] have demonstrated the success of the GOCART aerosol module in simulating AOD and other observable aerosol properties.…”

Section: Aerosol Speciesmentioning

confidence: 99%

Aerosol Optical Depth of the Main Aerosol Species over Italian Cities Based on the NASA/MERRA-2 Model Reanalysis

et al. 2019

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The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) provides data at 0.5° × 0.625° resolution covering a period from 1 January 1980 to the present. Natural and anthropogenic aerosols are simulated in MERRA-2, considering the Goddard chemistry, aerosol, radiation, and transport model. This model simulates the sources, sinks, and chemistry of mixed aerosol tracers: dust, sea salt, hydrophobic and hydrophilic black carbon and organic carbon, and sulfate. MERRA-2 aerosol reanalysis is a pioneering tool for investigating air quality issues, noteworthy for its global coverage and its distinction of aerosol speciation expressed in the form of aerosol optical depth (AOD). The aim of this work was to use the MERRA-2 reanalysis to study urban air pollution at a national scale by analyzing the AOD. AOD trends were evaluated for a 30-year period (1987–2017) over five Italian cities (Milan, Rome, Cagliari, Taranto, and Palermo) in order to investigate the impacts of urbanization, industrialization, air quality regulations, and regional transport on urban aerosol load. AOD evolution predicted by the MERRA-2 model in the period 2002–2017 showed a generalized decreasing trend over the selected cities. The anthropogenic signature on total AOD was between 50% and 80%, with the largest contribution deriving from sulfate.

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“…The Weather Research and Forecasting model coupled with chemistry (WRF-Chem; [18]) has been previously used by many research groups to study this argument, among the others we may cite Bossioli et al [19] that studied the influence of biomass burning during summertime over the eastern Mediterranean, Georgiou et al [20] who investigated an intense photochemical activity and their impact on air quality over the eastern Mediterranean, Chaibou et al [21] who evaluated dust extinction and vertical profiles with different dust emission schemes into the WRF-Chem (v4.02) model over North Africa, and Su and Fung [22] and LeGrand et al [23] that evaluated the model performance in the simulation of dust concentrations over an eastern Asia domain using different dust emission formulations. Previous studies of the WRF-Chem reproduction of the AOD over the Mediterranean area have been performed by Flaunas et al [24] that made a sensitivity analysis over the broader Mediterranean regions of the WRF-Chem (V3.6.1) model to different dust emission parametrization, by Rizza et al [9,25], that evaluated the different dust emission schemes in the same version of the WRF-Chem model and by Tsarpalis et al [26] that implemented a dust wet deposition scheme in a dust module of WRF-Chem (V3.8).…”

Section: Introductionmentioning

confidence: 99%

“…It is important to remark that rather than discovering new dust-emission parameterizations we are mainly interested in finding the optimal WRF-Chem configuration in term of physics and chemistry setup. We partially did this in a previous work [25] were we tested the UoC dust emission scheme using two different WRF land surface schemes and found very different results only by changing the surface land model. The paper outline is the following: Section 2 describes materials and methods utilized for this study; Section 3 depicts results and the relative analysis; and finally, in Section 4, the conclusions of the study are drawn.…”

Section: Introductionmentioning

confidence: 99%

Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling

et al. 2021

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The Weather Research and Forecasting (WRF) model with online coupled chemistry (WRF-Chem) is applied to study an intense Saharan dust outbreak event affecting the Italian peninsula in 15 and 16 April, 2018. According to the MODIS retrievals, this intrusion was characterized by an intense aerosol optical depth (AOD) peak value in the southern Mediterranean. Measurements within the Dry Deposition Network Across the Mediterranean (XMed-Dry) are compared with the output of the WRF-Chem model. XMed-Dry samples from Lecce (Italy), Athens (Greece) and San Lawrenz/Gozo (Malta) were analysed with respect to aerosol particle size distribution, relative dust contribution, and composition. The discrepancy between the model and measured deposition indicate the need to formulate in WRF-Chem more sophisticated deposition schemes, this will need to evaluate the sensitivity of the results to the precise particle size limits chosen for the aerosol model. Moreover, satellite retrievals from MODIS sensors elaborated with the MAIAC algorithm, Aeronet stations, and measurements of at the selected sites were also considered. In a numerical domain that spans the Mediterranean and the northern Saharan desert, two different dust emission schemes, namely Gocart-AFWA and the Shao-2001, were tested and compared with multiplatform observations for simulation period covering the dust outbreak. Actual results indicate that both emission schemes would benefit from replacing the static erodibility map and soil particle distribution with remote sensed and in-situ observational data.

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Sensitivity of WRF-Chem model to land surface schemes: Assessment in a severe dust outbreak episode in the Central Mediterranean (Apulia Region)

Cited by 37 publications

References 46 publications

Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modeling, satellite imagery, and ground observations

Analysis of a severe dust storm and its impact on air quality conditions using WRF-Chem modeling, satellite imagery, and ground observations

Aerosol Optical Depth of the Main Aerosol Species over Italian Cities Based on the NASA/MERRA-2 Model Reanalysis

Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling

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