Latest Research in Air Quality Monitoring and Forecasting

Top Research Topics in Air Quality Monitoring and Forecasting

• Air Quality Monitoring and Forecasting — 11 papers
• Ocean Waves and Remote Sensing — 4 papers
• Atmospheric aerosols and clouds — 2 papers
• Methodology — 2 papers
• Radio Wave Propagation Studies — 1 papers
• Planetary Science and Exploration — 1 papers
• Atmospheric chemistry and aerosols — 1 papers
• Meteorological Phenomena and Simulations — 1 papers
• Air Quality and Health Impacts — 1 papers
• Plant responses to elevated CO2 — 1 papers

Highest-Cited Papers

1. Exploring the added value of assimilating satellite altimeter measurements in a North Sea wave model using the Deterministic Ensemble Kalman Filter
2. Validation of PurpleAir PM2.5 Sensors in Temperate Urban Environments
3. An AI-based algorithm for retrieving aerosol optical depth and single scattering albedo using All-Sky Imager observations
4. The impact of large-eddy simulation grid resolution on electromagnetic wave propagation in the presence of a cloudy boundary layer
5. Evaluating Graph-Centrality Context for Station-Level Correction of CAMS Air Quality Reanalysis in Lombardy from 2018 to 2021
6. A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm
7. Attention-Based LSTM Forecasting of O3, NO2, and NO Concentrations in Eastern Santiago, Chile
8. Climate-stratified assessment of PM2.5 using machine learning: Geographic controls dominate meteorological factors
9. TALOS: Basin magnetic contrasts and the limits of Martian dynamo attribution
10. Fusing Physics and AI Enhances Accuracy and Diagnostic Capabilities in Air Quality Forecasting
11. A novel Gauss-Hermite High-Order Sampling Hybrid ensemble filter for computationally efficient data assimilation in geosciences – Part 1: Application to Lorenz-96 in PythonDA v1.2.2
12. Bayesian Modeling of PM10 in Kraków Using Meteorological and Seasonal Factors
13. Spatially Adaptive Ensemble Learning with Calibrated Predictive Uncertainty
14. PPDRTL: A novel framework for predicting pollutant deposition on roadside tree leaves using linear regression
15. Ensemble machine learning-based comparative prediction of NO2 and O3 concentrations in Bengaluru, India
16. Effect of surface waves on estimates of offshore wind energy and turbulence intensity
17. A Dual-Tower Global–Local Framework for Short-Term Multi-Buoy Significant-Wave-Height Forecasting
18. Image-based estimation of ambient particulate matter: a scoping review
19. Data-driven short-crested wave prediction with improved generalization via hybrid feature standardization and training strategy
20. Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process