Compilation and interpretation of photochemical model performance statistics published between 2006 and 2012
H Simon, KR Baker, S Phillips - Atmospheric Environment, 2012 - Elsevier
Regulatory and scientific applications of photochemical models are typically evaluated by
comparing model estimates to measured values. It is important to compare quantitative …
comparing model estimates to measured values. It is important to compare quantitative …
[HTML][HTML] Advances in air quality modeling and forecasting
A Baklanov, Y Zhang - Global Transitions, 2020 - Elsevier
The importance of and interest to research and investigations of atmospheric composition
and its modeling for different applications are substantially increased. Air quality forecast …
and its modeling for different applications are substantially increased. Air quality forecast …
Recommendations on statistics and benchmarks to assess photochemical model performance
Photochemical grid models are addressing an increasing variety of air quality related issues,
yet procedures and metrics used to evaluate their performance remain inconsistent. This …
yet procedures and metrics used to evaluate their performance remain inconsistent. This …
Evaluating environmental performance using data envelopment analysis: The case of European countries
K Matsumoto, G Makridou, M Doumpos - Journal of cleaner production, 2020 - Elsevier
Environmental efficiency is considered to be a critical pillar of sustainable development;
consequently, improving environmental performance has aroused attention at both the local …
consequently, improving environmental performance has aroused attention at both the local …
PM2. 5 analog forecast and Kalman filter post-processing for the Community Multiscale Air Quality (CMAQ) model
I Djalalova, L Delle Monache, J Wilczak - Atmospheric Environment, 2015 - Elsevier
A new post-processing method for surface particulate matter (PM 2.5) predictions from the
National Oceanic and Atmospheric Administration (NOAA) developmental air quality …
National Oceanic and Atmospheric Administration (NOAA) developmental air quality …
Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China
K Xiong, X Xie, J Mao, K Wang, L Huang, J Li… - Environmental Pollution, 2023 - Elsevier
Due to inherent errors in the chemical transport models, inaccuracies in the input data, and
simplified chemical mechanisms, ozone (O 3) predictions are often biased from …
simplified chemical mechanisms, ozone (O 3) predictions are often biased from …
Evaluation of real-time PM2. 5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2. 5 forecasts in Taiwan
FY Cheng, CY Feng, ZM Yang, CH Hsu… - Atmospheric …, 2021 - Elsevier
A real-time air quality forecasting (AQF) system was developed in Taiwan using the Weather
Research and Forecasting meteorological model and Community Multiscale Air Quality …
Research and Forecasting meteorological model and Community Multiscale Air Quality …
[HTML][HTML] Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission …
National emission inventories (NEIs) take years to assemble, but they can become outdated
quickly, especially for time-sensitive applications such as air quality forecasting. This study …
quickly, especially for time-sensitive applications such as air quality forecasting. This study …
Variation and comparison of cloud cover in MODIS and four reanalysis datasets of ERA-interim, ERA5, MERRA-2 and NCEP
H Wu, X Xu, T Luo, Y Yang, Z Xiong, Y Wang - Atmospheric Research, 2023 - Elsevier
Cloud plays an important role in climate change and radiative forcing. Atmospheric
reanalysis datasets provide an economical and efficient way to explore the worldwide cloud …
reanalysis datasets provide an economical and efficient way to explore the worldwide cloud …
New parameter-free simplified swarm optimization for artificial neural network training and its application in the prediction of time series
WC Yeh - IEEE Transactions on Neural Networks and Learning …, 2013 - ieeexplore.ieee.org
A new soft computing method called the parameter-free simplified swarm optimization (SSO)-
based artificial neural network (ANN), or improved SSO for short, is proposed to adjust the …
based artificial neural network (ANN), or improved SSO for short, is proposed to adjust the …