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Models and predictions for "How to deal w___ missing input data"

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Zenodo2025-03-15 更新2026-05-26 收录
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How to deal w___ missing input data This repository contains the models, configs, and results files for the paper Gauch et al., "How to deal w___ missing input data". The corresponding analysis code is available on GitHub: https://github.com/gauchm/missing-inputs. Contents of this repository missing-inputs.ipynb -- Jupyter notebook to reproduce figures from the paper. results/ -- Folder with model weights, configs, and predictions used in missing-inputs.ipynb. patches/ -- Contains patches for local modifications to reproduce experiments from the paper. Required setup Clone neuralhydrology: git clone https://github.com/neuralhydrology/neuralhydrology.git. Install an editable version of neuralhydrology: cd neuralhydrology && pip install -e .. Download the following data: the CAMELS US dataset (CAMELS time series meteorology, observed flow, meta data, version 1.2) from NCAR into some data directory (has to match data_dir in the config files). the extended Maurer and NLDAS forcings set available on HydroShare: Maurer, NLDAS. the models, results, and config files from this paper avaliable on this Zenodo repository. Note that to reproduce the experiments, local modifications to NeuralHydrology are necessary. To do so, apply the patches in the patches/ directory: git apply patches/experiment-N.patch.

如何处理缺失输入数据 本代码仓库包含Gauch等人发表的论文《How to deal w___ missing input data》(如何处理缺失输入数据)所对应的模型、配置文件与结果文件。 对应的分析代码已发布于GitHub:https://github.com/gauchm/missing-inputs。 本仓库内容如下: missing-inputs.ipynb:用于复现论文中图表的Jupyter交互式笔记本(Jupyter Notebook)。 results/目录:存放missing-inputs.ipynb中用到的模型权重、配置文件与预测结果。 patches/目录:包含用于复现论文中实验的本地修改补丁文件。 环境配置要求 克隆neuralhydrology仓库:执行命令 git clone https://github.com/neuralhydrology/neuralhydrology.git。 安装可编辑模式的neuralhydrology包:依次执行 cd neuralhydrology 与 pip install -e . 命令。 下载如下数据集: 1. 从NCAR获取CAMELS美国数据集(CAMELS时间序列气象数据、实测径流数据与元数据,版本1.2),并存储至任意数据目录(需与配置文件中的data_dir参数匹配)。 2. 获取HydroShare平台上发布的扩展型Maurer与NLDAS强迫数据集:Maurer, NLDAS。 3. 获取本论文对应的模型、结果文件与配置文件,可从该Zenodo仓库下载。 请注意,若要复现论文中的实验,需对NeuralHydrology进行本地修改。具体操作为:应用patches/目录下的补丁文件,执行命令 git apply patches/experiment-N.patch。

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Zenodo
创建时间:
2025-03-14
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