Results 61 to 70 of about 1,912 (186)

Validation of AERONET-Estimated Upward Broadband Solar Fluxes at the Top-Of-The-Atmosphere with CERES Measurements

Remote Sensing, 2019
The AERONET (Aerosol Robotic Network) global network provides estimations of broadband solar radiative fluxes at the surface and at the TOA (Top-Of-the-Atmosphere).
Michaël Sicard
doaj   +1 more source

Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data

npj Climate and Atmospheric Science, 2023
Direct radiative forcing (DRF) of aerosols is driven by aerosol concentration, size, and mixing state, and solar radiation. This work introduces Core-Shell Mie model optimization (COSMO) to compute top of the atmosphere (TOA) forcing based on inversely ...
Pravash Tiwari, Jason Blake Cohen, Xinying Wang, Shuo Wang, Kai Qin   +4 more
doaj   +1 more source

Correlated Modes of Spatiotemporal Variations Between Biomass Burning Aerosols and Tropospheric Temperature Over the Indian Region

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 1, 16 January 2026.
Abstract Biomass burning aerosols influence atmospheric temperatures by absorbing solar radiation, thereby altering the contrast between day and night temperatures. This study investigates the correlation between these aerosols and day‐night (D‐N) temperature changes over India by applying principal component analysis (PCA) in long‐term (2003–2021 ...
Lakhima Chutia, Jun Wang, Xi Chen, Zhendong Lu, Meng Zhou, Eric M. Wilcox   +5 more
wiley   +1 more source

Aerosol size distribution retrieved from optical depth measurements in Tamanrasset and Blida

Revue des Énergies Renouvelables, 2012
Since we are often faced with limited, insufficient or contaminated observations in remote sensing. We will employ a theoretical technique for the retrieval of the particle size distribution.
O. Aïssani, A. Mokhnache
doaj  

Assessment of Dust Size Retrievals Based on AERONET: A Case Study of Radiative Closure From Visible‐Near‐Infrared to Thermal Infrared

Geophysical Research Letters
Super‐coarse dust particles (diameters >10 μm) are evidenced to be more abundant in the atmosphere than model estimates and contribute significantly to the dust climate impacts.
Jianyu Zheng, Zhibo Zhang, Sergio DeSouza‐Machado, Claire L. Ryder, Anne Garnier, Claudia Di Biagio, Ping Yang, Ellsworth J. Welton, Hongbin Yu, Africa Barreto, Margarita Y. Gonzalez   +10 more
doaj   +1 more source

Extreme wildfire conditions shift coastal phytoplankton community structure in California

Limnology and Oceanography, Volume 71, Issue 1, January 2026.
Abstract Extreme wildfires have increased in frequency and intensity globally, particularly in the Western United States. Here we examine how the 2020 Lightning Complex Fires in California influenced coastal phytoplankton communities using monitoring network data products in the Monterey Bay, the ocean region closest to this large fire.
Dante Capone, Patrick Daniel, Raphael Kudela, Andrew D. Barton, Mati Kahru, Moira Décima   +5 more
wiley   +1 more source

Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring

Remote Sensing, 2019
In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations.
Zhongbin Li, David P. Roy, Hankui K. Zhang, Eric F. Vermote, Haiyan Huang   +4 more
doaj   +1 more source

A semi‐analytical Bayesian estimate retrieval algorithm for the inversion of remote‐sensing reflectance in optically deep and shallow waters

Limnology and Oceanography: Methods, Volume 24, Issue 1, January 2026.
Abstract The inverse problem in remote sensing of aquatic environment consists in retrieving optically significant constituents (OSCs) from a spectral measurement of the remote sensing reflectance (Rrs).Optically significant constituent includes chlorophyll a concentration (Chl a), a proxy of phytoplankton biomass, absorption of colored detrital matter
Soham Mukherjee, Raphaël Mabit, Simon Bélanger   +2 more
wiley   +1 more source

Physics‐Guided CNN‐LSTM Model With Multi‐Head Attention for Aerosol Optical Depth Prediction

Earth and Space Science, Volume 13, Issue 1, January 2026.
Abstract Accurate aerosol optical depth (AOD) prediction remains challenging due to complex aerosol‐radiation interactions and highly variable spatio‐temporal patterns. Three critical scientific issues motivate this work: understanding whether and how physical principles can enhance deep learning predictions, identifying which aerosol properties most ...
Liu Zeyang, Tan Yujun, Zhou Shengnan, Li Yarong, Zhang Jing, Yang Yadong, Shi Zhongrong, Zhou Xiancun   +7 more
wiley   +1 more source

Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models

International Journal of Climatology, Volume 45, Issue 16, 30 December 2025.
We evaluate MERRA‐2 and CAMS reanalysis products against AERONET observations and compare them with CMIP6 models. CAMS shows better performance in capturing fire‐derived aerosols (BC AOD and OC AOD), with peak values during the dry season (August–October). Both reanalyses capture spatiotemporal AOD variability, although systematic overestimation occurs
Fernando P. Forgioni, Gabriela V. Müller, Damaris Kirsch Pinheiro, Mariela N. Uhrig, Hassan Bencherif   +4 more
wiley   +1 more source