Land Surface Snow Phenology Based on an Improved Downscaling Method in the Southern Gansu Plateau, China

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 12; p. 2848
• Main Authors: Wu, Lei, Li, Changbin, Xie, Xuhong, Lv, Jianan, Zou, Songbing, Zhou, Xuan, Shen, Na
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2022
• Subjects: Air temperature; Altitude; China; climate; Climate change; Computer centers; Cryosphere; Distribution functions; evolution; High altitude; Hydrology; land surface snow phenology; landscapes; Low temperature; Methods; Phenology; Precipitation; Probability distribution; Probability distribution functions; Radiation; Regional analysis; Remote sensing; Reprocessing; Rivers; Snow; Snow accumulation; Snow depth; Solar radiation; southern Gansu Plateau; Spatial analysis; Spatial data; Spatial discrimination; Spatial resolution; Statistical analysis; statistical downscaling; Statistical methods; Temperature; Terrain; Topography; Water conservation; Yellow River; Tibetan Plateau; China; Yangtze River; Yellow River

Snow is involved in and influences water–energy processes at multiple scales. Studies on land surface snow phenology are an important part of cryosphere science and are a hot spot in the hydrological community. In this study, we improved a statistical downscaling method by introducing a spatial prob...