Using Long Short-term Memory (LSTM) to merge precipitation data over mountainous area in Sierra Nevada

arXiv:2404.10135v1 Announce Type: new
Abstract: Obtaining reliable precipitation estimation with high resolutions in time and space is of great importance to hydrological studies. However, accurately estimating precipitation is a challenging task over high mountainous complex terrain. The three widely used precipitation measurement approaches, namely rainfall gauge, precipitation radars, and satellite-based precipitation sensors, have their own pros and cons in producing reliable precipitation products over complex areas. One way to decrease the detection error probability and improve data reliability is precipitation …

abstract arxiv cs.ai cs.lg data however importance long short-term memory lstm measurement memory merge physics.ao-ph precipitation rainfall sierra space studies type