官方服务:
资源简介:
Training and analysing code and data for CRO-LSTM model
应用场景:
相关数据集
长江中下游水文情势预测数据集(2016-2052)
长江中下游水文情势预测数据集(2016-2052)。由“长江与两湖耦合一二维水沙整体数学模型软件”计算得到,并总结汇总在课题研究报告中,研究报告技术内容已通过专家评审验收,合理性得到认可。
国家地球系统科学数据中心2022-06-10 更新60
Future flows hydrology data
Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Fu
DataCite Commons2026-03-26 更新50
Explainable AI for LSTMs in Regional Hydrology - test_DATASET
This is data published by paper: An Explainable AI Approach for Interpreting Regionally Optimized Deep Neural Networks in Hydrological Prediction F. Hosseini a , C. Prieto a , C. Álvarez a a Instit
Zenodo2025-03-27 更新30
Murray River reconstruction
Data and code associated with the paper "Examining past and projecting future: an 800-year streamflow reconstruction of the Australian Murray river".
NIAID Data Ecosystem50
Comparison of effects of RNNs-Bayesian model.
Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and inaccuracy in small watersheds, and the reliability and accuracy performance of traditional probabili
Figshare2025-04-21 更新30



