The spatial downscaling of TRMM precipitation data for the middle part of the Chinese Tianshan Mountains
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-019-4739-8
Abstract: Remote sensing data makes great contribution to complements the inadequacy of the instruments in the region, especially at the high elevation and with complex underlying surfaces. In the paper, downscaling models based on the relationships… read more here.
Keywords: spatial downscaling; tianshan mountains; precipitation; chinese tianshan ... See more keywords
Rainfall Estimation From Ground Radar and TRMM Precipitation Radar Using Hybrid Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "Geophysical Research Letters"
DOI: 10.1029/2019gl084771
Abstract: Remote sensing of precipitation is critical for regional, continental, and global water and climate research. This study develops a deep learning mechanism to link between point‐wise rain gauge measurements, ground‐based, and spaceborne radar reflectivity observations.… read more here.
Keywords: ground; trmm precipitation; radar using; radar ... See more keywords
Application of Clustering Algorithms to TRMM Precipitation over the Tropical and South Pacific Ocean
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Climate"
DOI: 10.1175/jcli-d-19-0537.1
Abstract: AbstractUnderstanding multiscale rainfall variability in the South Pacific convergence zone (SPCZ), a southeastward-oriented band of precipitating deep convection in the South Pacific, is critical ... read more here.
Keywords: south pacific; clustering algorithms; algorithms trmm; application clustering ... See more keywords