Combining DMSP/OLS Nighttime Light with Echo State Network for Prediction of Daily PM2.5 Average Concentrations in Shanghai, China

Artificial neural networks forecasting of PM 2.5 pollution using air mass trajectory based geographic model and wavelet transformation

(2015) Xiao Feng et al.   ATMOSPHERIC ENVIRONMENT

Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China

(2014) Jianlin Hu et al.   ATMOSPHERIC ENVIRONMENT

A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data

(2014) Itai Kloog et al.   ATMOSPHERIC ENVIRONMENT

Satellite-Observed Nighttime Light Variation as Evidence for Global Armed Conflicts

(2013) Xi Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Estimation of Citywide Air Pollution in Beijing

(2013) Jin-Feng Wang et al.   PLoS One

Use of satellite-based aerosol optical depth and spatial clustering to predict ambient PM2.5 concentrations

(2012) Hyung Joo Lee et al.   ENVIRONMENTAL RESEARCH

Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks

(2012) G. Manjunath et al.   NEURAL COMPUTATION

Re-visiting the echo state property

(2012) Izzet B. Yildiz et al.   NEURAL NETWORKS

A method to estimate concentrations of surface-level particulate matter using satellite-based aerosol optical thickness

(2012) JinHua Tao et al.   Science China-Earth Sciences

Prediction of 24-hour-average PM2.5 concentrations using a hidden Markov model with different emission distributions in Northern California

(2012) Wei Sun et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model

(2011) Pablo E. Saide et al.   ATMOSPHERIC ENVIRONMENT

An enhanced PM2.5 air quality forecast model based on nonlinear regression and back-trajectory concentrations

(2010) W. Geoffrey Cobourn   ATMOSPHERIC ENVIRONMENT

A neurodynamical model for working memory

(2010) Razvan Pascanu et al.   NEURAL NETWORKS

Testing the capability of the chemistry transport model LOTOS-EUROS to forecast PM10 levels in the Netherlands

(2009) A.M.M. Manders et al.   ATMOSPHERIC ENVIRONMENT

Characteristics of organic and elemental carbon in PM2.5 samples in Shanghai, China

(2009) Yanli Feng et al.   ATMOSPHERIC RESEARCH

Evaluation and intercomparison of meteorological predictions by five MM5-PBL parameterizations in combination with three land-surface models

(2007) Zhiwei Han et al.   ATMOSPHERIC ENVIRONMENT