SUMMA and pySUMMA Training Tutorial for Beginners

This resource created to understand how to use pySUMMA for SUMMA simulation step-by-step. Each notebook explains with SUMM online document (https://summa.readthedocs.io/en/latest/) to understand SUMMA at first, then how to use pySUMMA for each part of SUMMA simulation. I recommend users to use "CyberGIS-Jupyter for water" for this pySUMMA training Tutorial.

The first five notebooks are created to understand how to set and manipulate SUMMA input configuration files.
In the SUMMA model, "file manager" is a master configuration file; therefore the first notebook (A. Explore file manger of SUMMA 3.0.3.ipynb) explains how to set and manipulate the file manager file.
The second notebook (B. Explore decision file of SUMMA 3.0.3.ipynb) explains how to set and manipulate the decision file which controls different parameterization in the SUMMA model.
The third notebook (C. Explore forcing data of SUMMA 3.0.3.ipynb) explains how to set and plot the forcing data as SUMMA input.
The fourth notebook (D. Explore local attributes, local parameters (global hru) and basin parameters (global gru) of SUMMA 3.0.3.ipynb) explains how to set and manipulate local attributes, local parameters, and basin parameters.
The fifth notebook (E. Explore Trial parameters, Output control and Noah-MP tables of SUMMA 3.0.3.ipynb) explains how to set and manipulate trial parameters and output control text file.

Then, the next seven notebooks are created to understand how to execute SUMMA with different cases.
The sixth notebook (F-1. SUMMA simulation using Output Control.ipynb) demonstrate the comparison of SUMMA output with different set of output control text file (hourly vs daily simulation)
The seventh notebook (F-2. Ensemble simulation using different parameterizations (decisions).ipynb) demonstrates how to execute SUMMA using different parameterizations.
The eighth notebook (F-3. Ensemble simulation using different values of a Local Parameters (Global HRU).ipynb) demonstrates how to execute SUMMA using different local parameter settings.
The ninth notebook (F-4. Ensemble simulation using different values of a Local Attributes.ipynb) demonstrates how to execute SUMMA using different local attributes settings.
The tenth notebook (F-5. Ensemble simulation using different values of a Trial Parameters.ipynb) demonstrates how to execute SUMMA using different trial parameters settings.
The eleventh notebook (F-6. Ensemble simulation using different file manager files.ipynb) demonstrates how to execute SUMMA using different file manager file settings.
The twelfth notebook (F-7. Ensemble simulation using different decisions and parameter trials setting.ipynb) demonstrate how to execute SUMMA using the combination of different configuration settings (different parameterization using decision file and parameter trial netcdf file).

After understanding these SUMMA and pySUMMA training tutorials, users will understand the next tutorial notebook (Application notebooks) better.

本资源旨在深入解析如何分步使用pySUMMA进行SUMMA模拟。每一份笔记皆以SUMM在线文档（https://summa.readthedocs.io/en/latest/）为参考，首先阐释SUMMA的基础概念，随后详细阐述如何运用pySUMMA操作SUMMA模拟的各个部分。针对本pySUMMA培训教程，建议用户使用“CyberGIS-Jupyter for water”。前五份笔记旨在指导读者掌握如何配置与操作SUMMA的输入配置文件。在SUMMA模型中，“文件管理器”作为主配置文件，因此首份笔记（A. 探索SUMMA 3.0.3的文件管理器.ipynb）着重讲解如何配置与操作文件管理器文件。次份笔记（B. 探索SUMMA 3.0.3的决策文件.ipynb）阐述如何配置与操作决策文件，该文件控制SUMMA模型中的不同参数化设置。第三份笔记（C. 探索SUMMA 3.0.3的强迫数据.ipynb）介绍如何配置与绘制强迫数据作为SUMMA的输入。第四份笔记（D. 探索SUMMA 3.0.3的局部属性、局部参数（全局hru）和流域参数（全局gru）.ipynb）讲解如何配置与操作局部属性、局部参数以及流域参数。第五份笔记（E. 探索SUMMA 3.0.3的试验参数、输出控制和Noah-MP表格.ipynb）解释如何配置与操作试验参数及输出控制文本文件。继此，后续七份笔记旨在阐述如何执行SUMMA模拟的不同案例。第六份笔记（F-1. 使用输出控制进行SUMMA模拟.ipynb）展示如何比较SUMMA输出与不同输出控制文本文件（逐小时与逐日模拟）的差异。第七份笔记（F-2. 使用不同参数化（决策）进行集成模拟.ipynb）演示如何运用不同的参数化设置执行SUMMA模拟。第八份笔记（F-3. 使用不同局部参数（全局HRU）值进行集成模拟.ipynb）展示如何运用不同的局部参数设置执行SUMMA模拟。第九份笔记（F-4. 使用不同局部属性值进行集成模拟.ipynb）演示如何运用不同的局部属性设置执行SUMMA模拟。第十份笔记（F-5. 使用不同试验参数值进行集成模拟.ipynb）展示如何运用不同的试验参数设置执行SUMMA模拟。第十一份笔记（F-6. 使用不同文件管理器文件设置进行集成模拟.ipynb）演示如何运用不同的文件管理器文件设置执行SUMMA模拟。第十二份笔记（F-7. 使用不同决策和参数试验设置进行集成模拟.ipynb）展示如何结合不同的配置设置（通过决策文件和参数试验netcdf文件使用不同的参数化）来执行SUMMA模拟。在掌握这些SUMMA与pySUMMA培训教程之后，用户将能更深入地理解后续的教程笔记（应用笔记）。