Abstract. Aerosols play a critical role in radiative transfer within the atmosphere, and they have significant impact on climate change. In this paper, we propose implement framework for developing an aerosol model using their microphysical properties. Such properties as size distribution, complex refractive index, percentage of sphericity are derived from global AERosol RObotic NETwork (AERONE...

Abstract. The observation and quantification of mineral dust fluxes from high-latitude sources remains difficult due to a known paucity year-round in situ observations limitations satellite remote sensing data (e.g. cloud cover detection). Here we explore the chronology emissions at instrumented source: Lhù'ààn Mân (Kluane Lake) Yukon, Canada. At this location use oblique time-lapse (RC) camera...

Delhi National Capital Region (NCR) of India is one the most polluted regions in world, yet only two ground-based monitoring sites under AEROsol RObotic NETwork (AERONET) measuring Aerosol Optical Depth (AOD) are operational this region. Here, we assessed performance Terra and Aqua MODIS collection 6.1 AOD product to understand their applicability for studying seasonal spatial variations over D...

The lockdown adopted in Spain to combat the global pandemic due coronavirus disease (COVID-19) led a significant reduction emission of aerosols produced by road traffic and industry. This study aims detect changes column COVID-19 lockdown. High-quality AErosol RObotic NETwork (AERONET) measurements AOD (aerosol optical depth), AE (Ångström exponent) SSA (single scattering albedo) over period 20...

The Advanced Geostationary Radiation Imager (AGRI) is one of the primary payloads aboard FY-4A geostationary meteorological satellite, which can provide high-frequency, wide coverage, and multiple spectral channel observations for China surrounding areas. There are currently few studies on aerosol optical depth (AOD) inversion from AGRI data. Based data, a new land AOD retrieval algorithm calle...

An aerosol optical depth (AOD) three-dimensional variational data assimilation technique is developed for the Gridpoint Statistical Interpolation (GSI) system for which WRF-Chem forecasts are performed with a detailed sectional model, the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC). Within GSI, forward AOD and adjoint sensitivities are performed using Mie computations from ...