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Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data

Kecheng Peng, Jinyuan Xin, Xiaoqian Zhu, Xiaoyuan Wang, Xiaoqun Cao, Yongjing Ma, Xinbing Ren, Dandan Zhao, Junji Cao, Zifa Wang

2023Atmospheric Research23 citationsDOI

Topics & Concepts

Mean absolute percentage errorBeijingPlanetary boundary layerWind speedMeteorologyEnvironmental scienceMean squared errorMathematicsAtmospheric sciencesStatisticsGeographyPhysicsTurbulenceChinaArchaeologyMeteorological Phenomena and SimulationsClimate variability and modelsSolar Radiation and Photovoltaics
Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data | Litcius