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Data for: The importance of relatively short-term time series in the runoff forecasting model based on long short-term memory

Mendeley Data2020-07-31 更新2026-04-09 收录

径流预测

LSTM时间序列建模

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https://data.mendeley.com/datasets/bcnk2zbskj 数据链接链接失效反馈

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资源简介：

runoff data

应用场景：

创建时间：

2020-07-31

水资源

径流预测

Infiltration excess overland flow is the dominant mechanism for runoff generation in many dryland watersheds. Event-based rainfall-runoff models therefore partition precipitation into two components

DataCite Commons2025-06-01 更新150

Comparison of seven simple loss models for runoff prediction at the plot, hillslope and catchment scale in the semiarid southwestern U.S.

径流预测

水文模型

Infiltration excess overland flow is the dominant mechanism for runoff generation in many dryland watersheds. Event-based rainfall-runoff models therefore partition precipitation into two components:

NIAID Data Ecosystem100

Headwaters Hydrology Project (HHP) ML-Based Streamflow Estimates

径流预测

极端水文事件

Accurate streamflow estimates in ungaged basins are essential for hydrologic research, water management, and drought/flood monitoring. The Headwaters Hydrology Project (HHP) addresses limitations in e

Zenodo2025-04-08 更新40

Lepsamanjoki_durF_projection_ipsl-cm6a-lr_ssp370_1985-2014_spatially-distributed_Yearly.nc

水文气候模拟

径流预测

:unav

DataCite Commons2025-04-01 更新110

Leveraging a novel hybrid ensemble and optimal interpolation approach for...

径流预测

气象数据同化

In the face of escalating instances of inland and flash flooding spurred by intense rainfall and hurricanes, the accurate prediction of rapid streamflow variations has become...

University Corporation for Atmospheric Research60

Data for: The importance of relatively short-term time series in the runoff forecasting model based on long short-term memory

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