The Implementation of a Mineral Dust Wet Deposition Scheme in the GOCART-AFWA Module of the WRF Model

Tsarpalis, Konstantinos; Παπαδόπουλος, Αναστάσιος; Mihalopoulos, Nikolaos; Spyrou, Christos; Michaelides, Silas; Katsafados, Petros

doi:10.3390/rs10101595

Cited by 16 publications

(22 citation statements)

References 70 publications

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“…As far as wet deposition is concerned, the scheme of Seinfeld and Pandis [75] is implemented for both in and below cloud scavenging. It is shown in literature that especially the in-cloud area plays a leading role in the scavenging of suspended particles affecting the entire spatiotemporal distribution of the dust particles [89]. However, indirect effects concerning dust aerosols with cloud interactions are not supported.…”

Section: Methodsologymentioning

confidence: 99%

Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean

et al. 2020

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In this study, the performance and characteristics of the advanced cloud nucleation scheme of Fountoukis and Nenes, embedded in the fully coupled Weather Research and Forecasting/Chemistry (WRF/Chem) model, are investigated. Furthermore, the impact of dust particles on the distribution of the cloud condensation nuclei (CCN) and the way they modify the pattern of the precipitation are also examined. For the simulation of dust particle concentration, the Georgia Tech Goddard Global Ozone Chemistry Aerosol Radiation and Transport of Air Force Weather Agency (GOCART-AFWA) is used as it includes components for the representation of dust emission and transport. The aerosol activation parameterization scheme of Fountoukis and Nenes has been implemented in the six-class WRF double-moment (WDM6) microphysics scheme, which treats the CCN distribution as a prognostic variable, but does not take into account the concentration of dust aerosols. Additionally, the presence of dust particles that may facilitate the activation of CCN into cloud or rain droplets has also been incorporated in the cumulus scheme of Grell and Freitas. The embedded scheme is assessed through a case study of significant dust advection over the Western Mediterranean, characterized by severe rainfall. Inclusion of CCN based on prognostic dust particles leads to the suppression of precipitation over hazy areas. On the contrary, precipitation is enhanced over areas away from the dust event. The new prognostic CCN distribution improves in general the forecasting skill of the model as bias scores, the root mean square error (RMSE), false alarm ratio (FAR) and frequencies of missed forecasts (FOM) are limited when modelled data are compared against satellite, LIDAR and aircraft observations.

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Section: Methodsologymentioning

confidence: 99%

Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean

et al. 2020

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“…The gravitational settling parameterization is based on calculation of settling velocity, which depends on particle density and size. The wet deposition parameterization is based on the Jung scheme (Tsarpalis et al 2018 ) and includes both in-cloud (rainout) and below-cloud (washout) scavenging.…”

Section: Methodsmentioning

confidence: 99%

“…The chemical component of WRF-Chem is fully consistent with the meteorological component (Grell and Baklanov 2011). Hence, both meteorological and air quality components use the same physics schemes for the sub-grid scale transport, the same grid on the horizontal and vertical coordinates, and the same atmospheric transport scheme (advection and diffusion) which preserves air and scalar mass (Tsarpalis et al 2018). The GOCART module includes algorithms for dry deposition and gravitational settling (Legrand et al 2018;Ukhov et al 2020).…”

Section: Wrf-chem Modelmentioning

confidence: 99%

Extension of WRF-Chem for birch pollen modelling—a case study for Poland

et al. 2020

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In recent years, allergies due to airborne pollen allergens have shown an increasing trend, along with the severity of allergic symptoms in most industrialized countries, while synergism with other common atmospheric pollutants has also been identified as affecting the overall quality of citizenly life. In this study, we propose the state-of-the-art WRF-Chem model, which is a complex Eulerian meteorological model integrated on-line with atmospheric chemistry. We used a combination of the WRF-Chem extended towards birch pollen, and the emission module based on heating degree days, which has not been tested before. The simulations were run for the moderate season in terms of birch pollen concentrations (year 2015) and high season (year 2016) over Central Europe, which were validated against 11 observational stations located in Poland. The results show that there is a big difference in the model’s performance for the two modelled years. In general, the model overestimates birch pollen concentrations for the moderate season and highly underestimates birch pollen concentrations for the year 2016. The model was able to predict birch pollen concentrations for first allergy symptoms (above 20 pollen m−3) as well as for severe symptoms (above 90 pollen m−3) with probability of detection at 0.78 and 0.68 and success ratio at 0.75 and 0.57, respectively for the year 2015. However, the model failed to reproduce these parameters for the year 2016. The results indicate the potential role of correcting the total seasonal pollen emission in improving the model’s performance, especially for specific years in terms of pollen productivity. The application of chemical transport models such as WRF-Chem for pollen modelling provides a great opportunity for simultaneous simulations of chemical air pollution and allergic pollen with one goal, which is a step forward for studying and understanding the co-exposure of these particles in the air.

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“…The principal objective of the study by Tsarpalis et al [31] is to present and evaluate an advanced dust wet deposition scheme in the WRF model coupled with Chemistry (WRF-Chem). The integration of a dust wet deposition scheme into the WRF-Chem model is assessed through a case study of large-scale Saharan dust transport over the Eastern Mediterranean that is characterized by severe wet deposition over Greece.…”

Section: Overview Of Contributionsmentioning

confidence: 99%

Editorial for Special Issue “Remote Sensing of Precipitation”

Michaelides

2019

Remote Sensing

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This Special Issue hosts papers on all aspects of remote sensing of precipitation, including applications that embrace the use of remote-sensing techniques of precipitation in tackling issues, such as precipitation estimations and retrievals, along with their methodologies and corresponding error assessment; precipitation modelling including validation, instrument comparison, and calibration; understanding of cloud and precipitation microphysical properties; precipitation downscaling; precipitation droplet size distribution; assimilation of remotely sensed precipitation into numerical weather prediction models; and measurement of precipitable water vapor.

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The Implementation of a Mineral Dust Wet Deposition Scheme in the GOCART-AFWA Module of the WRF Model

Cited by 16 publications

References 70 publications

Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean

Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean

Extension of WRF-Chem for birch pollen modelling—a case study for Poland

Editorial for Special Issue “Remote Sensing of Precipitation”

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