Fine particulate matter predictions using high resolution Aerosol Optical Depth (AOD) retrievals

Keyphrases

• High-resolution 100%
• Aerosol Optical Depth 100%
• Depth Retrieval 100%
• Fine Particulate Matter 100%
• Particulate Matter Prediction 100%
• Particulate Matter 40%
• PM2.5 Concentration 40%
• Concentration Profile 20%
• Model Prediction 20%
• United States 20%
• Urban Areas 20%
• Model Accuracy 20%
• Spatial Coverage 20%
• Spatial Variability 20%
• Spatial Resolution 20%
• Land Use 20%
• 10-fold Cross Validation 20%
• Atmospheric Correction Algorithm 20%
• Particulate Matter 2.5 (PM2.5) 20%
• PM2.5 Level 20%
• Boston 20%
• Urban Places 20%
• New Haven 20%
• High Traffic 20%
• Spatiotemporal Pattern 20%
• Meteorological Variables 20%
• MODIS Satellite 20%
• Depth Data 20%
• New England 20%
• Inverse Probability Weighting 20%
• Atmospheric Correction 20%
• Day-to-day Variability 20%
• Missing at Random 20%
• Varying Parameters 20%
• Pollution Level 20%
• Intra-urban 20%
• Urban Air Quality 20%
• Correction Data 20%
• Ground Reflectivity 20%
• Specific Calibration 20%
• Urban Exposure 20%
• Particle Optical Properties 20%
• Exposure Contrast 20%

Earth and Planetary Sciences

• Particular Matter 2.5 100%
• Fine Particulate Matter 100%
• Atmospheric Aerosol 50%
• Atmospheric Correction 50%
• Land Use 25%
• MODIS 25%
• Spatial Resolution 25%
• Spatial Variation 25%
• Optical Property 25%
• United States 25%
• Urban Air Quality 25%
• Surface Reflectance 25%
• England 25%