AORC Subset

The objective of this HydroShare resource is to query AORC v1.0 Forcing data stored on HydroShare's Thredds server and create a subset of this dataset for a designated watershed and timeframe. The user is prompted to define their temporal and spatial frames of interest, which specifies the start and end dates for the data subset. Additionally, the user is prompted to define a spatial frame of interest, which could be a bounding box or a shapefile, to subset the data spatially. Before the subsetting is performed, data is queried, and geospatial metadata is added to ensure that the data is correctly aligned with its corresponding location on the Earth's surface. To achieve this, two separate notebooks were created - [this notebook](https://github.com/CUAHSI/notebook-examples/blob/main/thredds/query-aorc-thredds.ipynb) and [this notebook] (https://github.com/CUAHSI/notebook-examples/blob/main/thredds/aorc-adding-spatial-metadata.ipynb) - which explain how to query the dataset and add geospatial metadata to AORC v1.0 data in detail, respectively. In this notebook, we call functions from the AORC.py script to perform these preprocessing steps, resulting in a cleaner notebook that focuses solely on the subsetting process.本HydroShare资源的目标为查询存储于HydroShare的Thredds服务器（Thredds server）上的AORC v1.0强迫数据（Forcing data），并针对指定流域与时间范围生成该数据集的子集。系统将提示用户定义感兴趣的时间与空间范围，以此明确数据子集的起始与终止日期。此外，用户还需定义感兴趣的空间范围——可采用边界框（bounding box）或形状文件（shapefile），以实现数据的空间子集化。 在执行子集化操作前，需先完成数据查询并添加地理空间元数据（geospatial metadata），以确保数据与地球表面对应位置准确匹配。为达成该目标，我们开发了两份独立的Jupyter Notebook：[此笔记本](https://github.com/CUAHSI/notebook-examples/blob/main/thredds/query-aorc-thredds.ipynb)与[此笔记本](https://github.com/CUAHSI/notebook-examples/blob/main/thredds/aorc-adding-spatial-metadata.ipynb)，二者分别详细说明了如何查询该数据集，以及如何为AORC v1.0数据添加地理空间元数据。在本笔记本中，我们通过调用AORC.py脚本中的函数来完成上述预处理步骤，从而得到一份仅聚焦于子集化流程的简洁笔记本。