Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations

Autor: Uz, Metehan, Atman, Kazım Gökhan, Akyilmaz, Orhan, Shum, C.K., Keleş, Merve, Ay, Tuğçe, Tandoğdu, Bihter, Zhang, Yu, Mercan, Hüseyin
Zdroj: In Science of the Total Environment 15 July 2022 830
Databáze: ScienceDirect