Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is
key to understanding and constraining the dust cycle and its interactions with the Earth …

Monitoring and describing the spatiotemporal variability in dust aerosols is crucial for
understanding their multiple effects, related feedbacks, and impacts within the Earth system …

This study aims to investigate global, regional and seasonal temporal dust changes as well
as the effect of dust particles on total aerosol loading using the ModIs Dust AeroSol (MIDAS) …

We derived two observation-based global monthly mean dust aerosol optical depth (DAOD)
climatological datasets from 2007 to 2019 with a 2∘(latitude)× 5∘(longitude) spatial …

By mass, dust is the largest contributor to global aerosol burden, yet long-term observational
records of dust, particularly over the ocean, are limited. Here, two nearly global …

The role of mineral dust in climate and ecosystems has been largely quantified using global
climate and chemistry model simulations of dust emission, transport, and deposition …

In this study, we developed a novel algorithm based on the collocated Moderate Resolution
Imaging Spectroradiometer (MODIS) thermal infrared (TIR) observations and dust vertical …

Mineral dust impacts key processes in the Earth system, including the radiation budget,
clouds, and nutrient cycles. We evaluate dust aerosols in 16 models participating in the sixth …

Dust aerosol is important in modulating the climate system at local and global scales, yet its
spatiotemporal distributions simulated by global climate models (GCMs) are highly …

We present a comprehensive analysis of the interannual variability and trend of dust aerosol
in Central Asia (37°–55° N, 50°–80° E) from 2000 to 2014, based on a set of dust emission …