Results 51 to 60 of about 3,937 (185)

Making a Dust Source Map: Can We Build, Implement, and Learn From a Reflectance Derived Sediment Supply Map in the Unified Forecast System (UFS)?

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract Mineral dust is an important part of the climate system we live in. Dust hotspots in deserts and arid regions emit tons of dust annually, influenced by local meteorology and soil characteristics. As one of the most abundant aerosols, it is important to characterize and define the climate and human impacts of dust.
E. Faber, B. Baker, A. Rocha Lima, K. Schepanski   +3 more
wiley   +1 more source

The Global Spatial Pattern of Aerosol Optical, Microphysical and Chemical Properties Derived from AERONET Observations

Remote Sensing
This study, based on global AERONET observation data from 2023, employs a synergistic inversion algorithm that integrates aerosol optical, microphysical, and chemical properties to retrieve the global distribution of aerosol parameters.
Ying Zhang, Qiyu Wang, Zhuolin Yang, Chaoyu Yan, Tong Hu, Yisong Xie, Yu Chen, Hua Xu   +7 more
doaj   +1 more source

An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation [PDF]

Atmospheric Chemistry and Physics, 2011
As an update to our previous use of the collection 4 Moderate Resolution Imaging Spectroradiometer (MODIS) over-ocean aerosol optical depth (AOD) data, we examined ten years of Terra and eight years of Aqua collection 5 data for its potential usage in ...
Y. Shi, J. Zhang, J. S. Reid, B. Holben, E. J. Hyer, C. Curtis   +5 more
doaj   +1 more source

MERRA2_CNN_HAQAST_PM25: Hourly Bias‐Corrected PM2.5 Datasets for Global Air Quality Assessment

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
The study introduces a new hourly global PM2.5 dataset combining MERRA‐2 reanalysis with CNN techniques. It addresses global air quality data gaps using AI and atmospheric science, providing valuable insights for health, environmental monitoring and climate research applications for diverse stakeholders.
Pawan Gupta, Alqamah Sayeed
wiley   +1 more source

Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave [PDF]

Atmospheric Chemistry and Physics, 2020
The impact of aerosol–radiation and aerosol–cloud interactions on the radiative forcing is subject to large uncertainties. This is caused by the limited understanding of aerosol optical properties and the role of aerosols as cloud condensation/ice nuclei
L. Palacios-Peña, P. Stier, R. Lorente-Plazas, P. Jiménez-Guerrero, P. Jiménez-Guerrero   +4 more
doaj   +1 more source

Dust‐Induced Losses in Solar Photovoltaic Potential and Their Long‐Term Changes Over North Africa

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract North Africa (NA) offers exceptional potential for large‐scale solar photovoltaic (PV) deployment to mitigate climate change. Dust aerosols, however, pose a barrier to PV performance by dimming sunlight dimming effect (DE) and settling on panels soiling effect (SE), yet their relative roles across NA's diverse climate zones remain unclear ...
Yuhan Zhang, Yawen Liu, Kang‐En Huang, Hanzheng Zhu, Minghuai Wang   +4 more
wiley   +1 more source

Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system

Atmospheric Chemistry and Physics, 2022
Abstract. The Copernicus Atmosphere Monitoring Service (CAMS) provides near-real-time forecast and reanalysis of aerosols using the ECMWF Integrated Forecasting System with atmospheric composition extension, constrained by the assimilation of MODIS and the Polar Multi-Sensor Aerosol Optical Properties (PMAp) aerosol optical depth (AOD).
Sebastien Garrigues, Samuel Remy, Julien Chimot, Melanie Ades, Antje Inness, Johannes Flemming, Zak Kipling, Istvan laszlo, Angela Benedetti, Roberto Ribas, Soheila Jafariserajehlou, Bertrand Fougnie, Shobha Kondragunta, Richard Engelen, Vincent-Henri Peuch, Mark Parrington, Nicolas Bousserez, Margarita Vazquez Navarro, Anna Agusti-Panareda   +18 more
openaire   +3 more sources

Stratospheric Aerosol Particle Size Explains Divergent Limb and Solar Occultation Measurements After the Hunga Eruption

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract The 2022 Hunga eruption significantly perturbed the stratosphere by injecting substantial water vapor and SO2 ${\text{SO}}_{2}$, drastically changing the Aerosol Optical Depth (AOD) and particle size. Post‐eruption, satellite limb‐scattering retrievals of aerosol extinction from Ozone Mapping and Profiler Suite Limb Profiler (OMPS‐LP) and ...
Cara Remai, Daniel Zawada, Adam Bourassa, Kimberlee Dubé, Alexandre Baron, Kate Smith, Landon Rieger, Douglas Degenstein   +7 more
wiley   +1 more source

Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China [PDF]

Remote Sensing, 2018
The Himawari-8 geostationary weather satellite, which is an Earth observing satellite launched in October 2014, has been applied in climate, environment, and air quality studies. Using hourly observation data from the Advanced Himawari Imager (AHI) on board Himawari-8, a new dark target algorithm was proposed to retrieve the aerosol optical depth (AOD)
Fukun Yang, Yang Wang, Jinhua Tao, Zifeng Wang, Meng Fan, Gerrit De Leeuw, Liangfu Chen   +6 more
openaire   +1 more source

Deriving All‐Hour Aerosol Optical Depth Over China From Automated Visibility Observations

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract All‐hour aerosol monitoring remains challenging due to limited spatiotemporal coverage of current observational systems. Here we developed a machine‐learning based framework that derives 24‐hr aerosol optical depth (AOD) from automated visibility measurements.
Zhou Yang, Hengheng Zhao, Zhaoliang Zeng, Ke Gui, Xutao Zhang, Nanxuan Shang, Yu Zheng, Lei Li, Huizheng Che   +8 more
wiley   +1 more source