Articles | Volume 26, issue 7
https://doi.org/10.5194/hess-26-1727-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Technical note: Using long short-term memory models to fill data gaps in hydrological monitoring networks
Data sets
Using Deep Learning to Fill Spatio-Temporal Data Gaps in Hydrological Monitoring Networks: A Case Study at the U.S. Department of Energy's Hanford Site https://sbrsfa.velo.pnnl.gov/datasets/?UUID=14febd81-05b6-47fb-be52-439c4382decd