A Comparative Study of Rain/No-Rain Classification Results Using PCT From GPM/GMI Data by Precipitation Type
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2988597
Abstract: Satellite-based microwave sensors that respond to the vertical distribution of hydrometeors have been continuously employed in the investigation of precipitation systems characteristics. Rain/no-rain classification (RNC) methods often are either applied before retrieving precipitation information from… read more here.
Keywords: rain rain; rain; gpm; rain classification ... See more keywords
Improving Rain/No-Rain Detection Skill by Merging Precipitation Estimates from Different Sources
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-20-0097.1
Abstract: Rain/no-rain detection error is a key source of uncertainty in regional and global precipitation products that propagates into offline hydrological and land surface modeling simulations. Such detection error is difficult to evaluate and/or filter without… read more here.
Keywords: precipitation; rain rain; rain detection; rain ... See more keywords