A review on vulnerable atmospheric aerosol nanoparticles: Sources, impact on the health, ecosystem and management strategies
The Earth's atmosphere contains ultrafine particles known as aerosols, which can be either
liquid or solid particles suspended in gas. These aerosols originate from both natural …
liquid or solid particles suspended in gas. These aerosols originate from both natural …
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
M Gonçalves Ageitos, V Obiso, RL Miller… - Atmospheric …, 2023 - acp.copernicus.org
Soil dust aerosols are a key component of the climate system, as they interact with short-and
long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play …
long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play …
Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) version 2.0
We present the dust module in the Multiscale Online Non-hydrostatic AtmospheRe
CHemistry model (MONARCH) Version 2.0, a chemical weather prediction system that can …
CHemistry model (MONARCH) Version 2.0, a chemical weather prediction system that can …
Inverse modeling of the 2021 spring super dust storms in East Asia
This spring, super dust storms reappeared in East Asia after being absent for a (two) decade
(s). The event caused enormous losses both in Mongolia and in China. Accurate simulation …
(s). The event caused enormous losses both in Mongolia and in China. Accurate simulation …
Observing mineral dust in northern Africa, the Middle East, and Europe: current capabilities and challenges ahead for the development of dust Services
Mineral dust produced by wind erosion of arid and semiarid surfaces is a major component
of atmospheric aerosol that affects climate, weather, ecosystems, and socioeconomic …
of atmospheric aerosol that affects climate, weather, ecosystems, and socioeconomic …
[HTML][HTML] A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1. 0 and chemical transport model results from GEOS …
Statistical methods, particularly machine learning models, have gained significant popularity
in air quality predictions. These prediction models are commonly trained using the historical …
in air quality predictions. These prediction models are commonly trained using the historical …
Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations …
S Lolli, M Sicard, F Amato, A Comeron… - Atmospheric …, 2023 - acp.copernicus.org
Aerosols are one of the most important pollutants in the atmosphere and have been
monitored for the past few decades by remote sensing and in situ observation platforms to …
monitored for the past few decades by remote sensing and in situ observation platforms to …
Assimilating spaceborne lidar dust extinction improves dust forecasts
J Escribano, E Di Tomaso, O Jorba… - Atmospheric …, 2021 - acp.copernicus.org
Atmospheric mineral dust has a rich tri-dimensional spatial and temporal structure that is
poorly constrained in forecasts and analyses when only column-integrated aerosol optical …
poorly constrained in forecasts and analyses when only column-integrated aerosol optical …
[HTML][HTML] Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting
Dust storms pose significant risks to health and property, necessitating accurate forecasting
for preventive measures. Despite advancements, dust models grapple with uncertainties …
for preventive measures. Despite advancements, dust models grapple with uncertainties …
Evaluating the effects of columnar NO2 on the accuracy of aerosol optical properties retrievals
T Drosoglou, IP Raptis, M Valeri… - Atmospheric …, 2022 - amt.copernicus.org
We aim to evaluate the NO 2 absorption effect in aerosol properties derived from sun-sky
radiometers as well as the possible retrieval algorithm improvements by using more …
radiometers as well as the possible retrieval algorithm improvements by using more …