Modeling of observed mineral dust aerosols in the arctic and the impact on winter season low-level clouds

2013 ◽  
Vol 118 (19) ◽  
pp. 11,161-11,174 ◽  
Author(s):  
Song-Miao Fan
Keyword(s):  
Mineral Dust ◽  
Winter Season ◽  
The Arctic ◽  
Low Level ◽  
Dust Aerosols ◽  
The Impact ◽  
Mineral Dust Aerosols

The Impact of Mixed-Phase Microphysical Processes on the Turbulence in Low-level Clouds in the Arctic

2021 ◽  
Author(s):  
Jan Chylik ◽  
Roel Neggers
Keyword(s):  
Boundary Layer ◽  
Climate Models ◽  
Weather Forecast ◽  
Mixed Phase ◽  
The Arctic ◽  
Contributing Factors ◽  
Microphysics Scheme ◽  
Low Level ◽  
Microphysical Processes ◽  
The Impact

<p>The proper representation of Arctic mixed-phased clouds remains a challenge in both weather forecast and climate models. Amongst the contributing factors is the complexity of turbulent properties of clouds. While the effect of evaporating hydrometeors on turbulent properties of the boundary layer has been identified in other latitudes, the extent of similar studies in the Arctic has been so far limited.</p><p>Our study focus on the impact of heat release from mixed-phase microphysical processes on the turbulent properties of the convective low-level clouds in the Arctic. We  employ high-resolution simulations, properly constrained by relevant measurements.<br>Semi-idealised model cases are based on convective clouds observed during the recent campaign in the Arctic: ACLOUD, which took place May--June 2017 over Fram Strait. The simulations are performed in Dutch Atmospheric Large Eddy Simulation (DALES) with double-moment mixed-phase microphysics scheme of Seifert & Beheng.</p><p>The results indicate an enhancement of boundary layer turbulence is some convective regimes.<br>Furthermore, results are sensitive to aerosols concentrations. Additional implications for the role of mixed-phase clouds in the Arctic Amplification will be discussed.</p>

scholarly journals Modelling lidar-relevant optical properties of complex mineral dust aerosols

Tellus B ◽  
2011 ◽  
Vol 63 (4) ◽  
pp. 725-741 ◽  
Author(s):  
Josef Gasteiger ◽  
Matthias Wiegner ◽  
Silke Groß ◽  
Volker Freudenthaler ◽  
Carlos Toledano ◽  
...  
Keyword(s):  
Optical Properties ◽  
Mineral Dust ◽  
Dust Aerosols ◽  
Mineral Dust Aerosols

Properties and challenges of mineral dust aerosol modelling in the latest Earth System Models

2020 ◽  
Author(s):  
Ramiro Checa-Garcia ◽  
Yves Balkanski ◽  
Tommi Bergman ◽  
Ken Carslaw ◽  
Mohit Dalvi ◽  
...  
Keyword(s):  
Optical Depth ◽  
Mineral Dust ◽  
Regional Scale ◽  
Climate System ◽  
Deposition Flux ◽  
Dust Aerosols ◽  
Earth Systems ◽  
Imperfect Knowledge ◽  
Sahel Region ◽  
Mineral Dust Aerosols

<p>Mineral dust aerosols participate in the climate system and biogeochemistry processes due to its interactions with key components of Earth Systems: radiation, clouds, soil and chemical components. A central element to improve our understanding of mineral dust is through its modeling with Earth Systems Models where all these interactions are included. However, current simulations of dust variability exhibit important uncertainties and biases, which are model-dependent, whose cause is our imperfect knowledge about how to best represent the dust life cycle. For these reasons a continuous evaluation of the performance and properties of the different models compared against measurements is a crucial step to improve our knowledge of the dust cycle and its role in the climate system and biogeochemical cycles. Here we present an exhaustive evaluation of mineral dust aerosols in CRESCEND-ESMs over global, regional and local scales. We compare models against three networks of instruments for total dust deposition flux, yearly surface concentrations, and optical depths. Global and regional dust optical depths are compared with MODIS and MISR derived products. Specific analyses are done over the Sahel region where improved and compressive dust observational datasets are available. The results indicate that all the models capture the general properties of the global dust cycle, although the role of larger particles remains challenging. Differences are partially due to surface winds as nudged simulations improve the inter-model comparison and the performance in optical depth compared to MODIS. At the regional scale, there is an optical depth reasonable agreement over main source areas, but a joint inter-comparison including fluxes and concentration indicates larger differences. At the local scale, the uncertainties increase and current models are not able to reproduce together several observables at the same time.</p>

A method to determine the effect of mineral dust aerosols on air quality

2009 ◽  
Vol 43 (34) ◽  
pp. 5463-5468 ◽  
Author(s):  
Eliezer Ganor ◽  
Amnon Stupp ◽  
Pinhas Alpert
Keyword(s):  
Air Quality ◽  
Mineral Dust ◽  
Dust Aerosols ◽  
Mineral Dust Aerosols

scholarly journals Characterization of iron oxides in mineral dust aerosols: Implications for light absorption

2006 ◽  
Vol 111 (D21) ◽  
Author(s):  
Sandra Lafon ◽  
Irina N. Sokolik ◽  
Jean Louis Rajot ◽  
Sandrine Caquineau ◽  
Annie Gaudichet
Keyword(s):  
Iron Oxides ◽  
Light Absorption ◽  
Mineral Dust ◽  
Dust Aerosols ◽  
Mineral Dust Aerosols

Simulation of mineral dust aerosols in southwestern iran through numerical prediction models

2017 ◽  
Vol 37 (4) ◽  
pp. 1380-1393 ◽  
Author(s):  
Parya Broomandi ◽  
Bahram Dabir ◽  
Babak Bonakdarpour ◽  
Yousf Rashidi ◽  
Ali Akherati
Keyword(s):  
Prediction Models ◽  
Mineral Dust ◽  
Numerical Prediction ◽  
Dust Aerosols ◽  
Southwestern Iran ◽  
Mineral Dust Aerosols
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