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Yalei You
Researcher at University of Maryland, College Park
Publications - 38
Citations - 557
Yalei You is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Precipitation & Global Precipitation Measurement. The author has an hindex of 13, co-authored 32 publications receiving 431 citations. Previous affiliations of Yalei You include Yunnan University & Florida State University.
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Quantifying the Snowfall Detection Performance of the GPM Microwave Imager Channels over Land
TL;DR: In this article, the authors used Global Precipitation Measurement (GPM) Microwave Imager (GMI) and Ka-precipitation radar observations to quantify the snowfall detection performance for different channel (frequency) combinations.
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Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing Flood Event Using Dense Rain Gauge Observations
Sheng Chen,Huijuan Liu,Yalei You,Esther Mullens,Junjun Hu,Ye Yuan,Mengyu Huang,Li He,Yongming Luo,Xingji Zeng,Guoqiang Tang,Yang Hong +11 more
TL;DR: Based on the results, caution should be exercised when using CMORPH and PERSIANN-CCS as input for monitoring and forecasting floods in Beijing urban areas, and the potential for landslides in the mountainous zones west and north of Beijing.
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Comparison of snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/NSSL Multi-Radar Multi-Sensor System
Sheng Chen,Sheng Chen,Yang Hong,Yang Hong,Mark S. Kulie,Ali Behrangi,Phillip M. Stepanian,Qing Cao,Yalei You,Jian Zhang,Junjun Hu,Xinhua Zhang +11 more
TL;DR: In this article, the latest global snowfall product derived from the CloudSat Cloud Profiling Radar (2C-SNOW-PROFILE) is compared with NOAA/National Severe Storms Laboratory's Multi-Radar Multi-Sensor (MRMS/Q3) system precipitation products from 2009 through 2010.
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A prototype precipitation retrieval algorithm over land using passive microwave observations stratified by surface condition and precipitation vertical structure
TL;DR: In this article, a prototype precipitation retrieval algorithm over land has been developed by utilizing 4 year National Mosaic and Multi-Sensor Quantitative Precipitation Estimation and Special Sensor Microwave Imager/Sounder coincident data sets.
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Principal Components of Multifrequency Microwave Land Surface Emissivities. Part I: Estimation under Clear and Precipitating Conditions
TL;DR: In this article, a multi-year global database of microwave surface emissivities encompassing a wide range of surface conditions was retrieved from Advanced Microwave Scanning Radiometer for Earth Observing System (EOS; AMSR-E) radiometric clear scenes using companion A-Train [CloudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), and Atmospheric Infrared Sounder (AIRS)] data.