The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset
Author:
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Information Systems
Reference63 articles.
1. TensorFlow: large-scale Machine Learning on Heterogeneous Systems;Abadi,2015
2. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting;Abrahart;Prog. Phys. Geography-Earth Environ.,2012
3. The camels data set: catchment attributes and meteorology for large-sample studies;Addor;Hydrol. Earth Syst. Sci.,2017
4. Impact of the length of observed records on the performance of ann and of conceptual parsimonious rainfall-runoff forecasting models;Anctil;Environ. Model. Software,2004
5. The hazards of split-sample validation in hydrological model calibration;Arsenault;J. Hydrol.,2018
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