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Supplementary material to quot;Quantifying errors in surface ozone predictions associated with clouds over CONUS: A WRF-Chem modeling study using satellite cloud retrievalsquot;

机译：补充材料“在与康群上云相关的表面臭氧预测中的量化误差：使用卫星云检索的WRF-Chem建模研究”

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Young-Hee Ryu; Alma Hodzic; Jerome Barre; Gael Descombes; Patrick Minnis;
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1. Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals [J] . Ryu Young-Hee, Hodzic Alma, Barre Jerome, Atmospheric Chemistry and Physics Discussions . 2018,第10期

机译：量化与CONUS上的云相关的表面臭氧预测中的误差：使用卫星云检索的WRF-Chem建模研究
2. Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals [J] . Ryu Young-Hee, Hodzic Alma, Barre Jerome, Atmospheric chemistry and physics . 2018,第10aPta2期

机译：在康明斯云中量化与云相关的表面臭氧预测的误差：使用卫星云检索的WRF-Chem建模研究
3. Toward a Better Regional Ozone Forecast Over CONUS Using Rapid Data Assimilation of Clouds and Meteorology in WRF-Chem [J] . Young-Hee Ryu, Alma Hodzic, Gael Descombes, Journal of Geophysical Research, D. Atmospheres: JGR . 2019,第23期

机译：利用WRF-Chem中的快速数据同化对康明斯的更好区域臭氧预测
4. ASSIMILATION OF SURFACE-BASED CLOUD OBSERVATIONS AND INFRARED SATELLITE DATA TO IMPROVE SHORT-TERM CLOUD AND SOLAR POWER PREDICTIONS [C] . Kenneth T. Waight III, Glenn E. Van Knowe 40th ASES national solar conference 2011. . 2011

机译：基于表面的云观测和红外卫星数据的同化，以改善短期云和太阳能预测
5. Reducing errors in simulated satellite views of clouds from large-scale models. [D] . Hillman, Benjamin R. 2016

机译：减少大型模型在模拟卫星云视图中的误差。
6. Classification and Prediction of Typhoon Levels by Satellite Cloud Pictures through GC–LSTM Deep Learning Model [O] . Jianyin Zhou, Jie Xiang, Sixun Huang 2020

机译：通过GC-LSTM深入学习模型对卫星云图片台风级别的分类和预测
7. Quantifying errors in surface ozone predictions associated with clouds over the CONUS: a WRF-Chem modeling study using satellite cloud retrievals [O] . Young-Hee Ryu, Alma Hodzic, Jerome Barre, 2018

机译：量化与康群云相关的表面臭氧预测中的误差：使用卫星云检索的WRF-Chem建模研究

Supplementary material to quot;Quantifying errors in surface ozone predictions associated with clouds over CONUS: A WRF-Chem modeling study using satellite cloud retrievalsquot;

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