Pretrained models + simulations for our HESSD submission "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

Contains all models trained for our publication "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets", as well as the evaluated model simulations. The set contains 48 runs in total, stemming from 3 different models (trained with 8 repetitions) and two different loss functions.

本数据集涵盖为我们发表的学术论文《面向通过机器学习应用于大样本数据集学习普适性、区域与局地水文行为》（Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets）所训练的全部模型，以及经评估的模型模拟结果。该数据集共包含48组实验运行，来源于3种不同的模型（每种模型均进行8次重复训练）与2种不同的损失函数。