Probabilistic Hydroclimate Emulation with a Digital Twin Technology for Land Surface Model Ensembles: Supporting Data

Name: Probabilistic Hydroclimate Emulation with a Digital Twin Technology for Land Surface Model Ensembles: Supporting Data
Creator: Ohio State University; University of Wisconsin-Madison; Jet Propulsion Laboratory; University of Notre Dame
Published: 2025-05-28T00:00:00+08:00

Zenodo2025-05-28 更新2026-04-07 收录

水文气候模拟

数字孪生应用

数据链接：

https://zenodo.org/doi/10.5281/zenodo.15532018 数据链接链接失效反馈

官方服务：

资源简介：

This archive contains supporting data files for the manuscript "Probabilistic Hydroclimate Emulation with a Digital Twin Technology for Land Surface Model Ensembles". Python code for running the examples can be found on Github.

提供机构：

Ohio State University; University of Wisconsin-Madison; Jet Propulsion Laboratory; University of Notre Dame

创建时间：

2025-05-28