A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone …
Abstract Ozone concentrations in Houston, Texas, are among the highest in the United
States, posing significant risks to human health. This study aimed to evaluate the impact of …
States, posing significant risks to human health. This study aimed to evaluate the impact of …
An Intercomparison of deep-learning methods for super-resolution bias-correction (SRBC) of Indian summer monsoon rainfall (ISMR) using CORDEX-SA simulations
Abstract The Indian Summer Monsoon Rainfall (ISMR) plays a significant role in India's
agriculture and economy. Our understanding of the climate dynamics of the Indian summer …
agriculture and economy. Our understanding of the climate dynamics of the Indian summer …
Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2. 5 concentrations in South Korea
In this study, we introduce a deep learning-based framework, Deep-BCSI, which leverages
Convolutional Neural Networks (CNN) for bias correction and Partial Convolutional Neural …
Convolutional Neural Networks (CNN) for bias correction and Partial Convolutional Neural …
Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region
N Ding, X Tang, H Wu, L Kong, X Dao, Z Wang… - Atmospheric …, 2024 - Elsevier
Secondary inorganic aerosols (sulfate, nitrate, and ammonium, SNA) are the key
components of PM 2.5 in China. Accurate and seamless SNA concentration data therefore …
components of PM 2.5 in China. Accurate and seamless SNA concentration data therefore …
Improved O3 predictions in China by combining chemical transport model and multi-source data with machining learning techniques
Accurate ozone (O 3) predictions is crucial for assessing its impact on public health and
developing effective prevention and control measures. While ground-based observations …
developing effective prevention and control measures. While ground-based observations …
Machine learning-based improvement of aerosol optical depth from CHIMERE simulations using MODIS satellite observations
We present a supervised machine learning (ML) approach to improve the accuracy of the
regional horizontal distribution of the aerosol optical depth (AOD) simulated by the …
regional horizontal distribution of the aerosol optical depth (AOD) simulated by the …
Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network
The complexity of monitoring is compounded by the environmental and health impacts
linked to air pollution. The elevated expenses and intricate execution involved in …
linked to air pollution. The elevated expenses and intricate execution involved in …
Enhancing real-time PM2. 5 forecasts: A hybrid approach of WRF-CMAQ model and CNN algorithm
YJ Lee, FY Cheng, HC Chien, YC Lin, MT Sun - Atmospheric Environment, 2024 - Elsevier
As fine particulate matter (PM 2.5) poses significant environmental and human health risks,
there is an urgent need for accurate forecasting systems. In Taiwan, the current air quality …
there is an urgent need for accurate forecasting systems. In Taiwan, the current air quality …
MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models
P Kumar, H Vogel, J Bruckert, LJ Muth… - npj Climate and …, 2024 - nature.com
Aerosols influence weather and climate by interacting with radiation through absorption and
scattering. These effects heavily rely on the optical properties of aerosols, which are mainly …
scattering. These effects heavily rely on the optical properties of aerosols, which are mainly …
Development of a recurrent spatiotemporal deep-learning method coupled with data fusion for correction of hourly ozone forecasts
Ambient ozone (O 3) predictions can be very challenging mainly due to the highly nonlinear
photochemistry among its precursors, and meteorological conditions and regional transport …
photochemistry among its precursors, and meteorological conditions and regional transport …