Abstract

Input data collection, quality assurance and preparation are central but time_consuming steps in environmental modeling. Errors due to manual processing of model input data can result in an incorrect representation of an environmental system and may consequently lead to implausible model simulations. Correct input data preparation and thorough quality check at an early stage of the model setup procedure are essential to build confidence in model simulation results. Typically, in environmental model applications, many steps in the input data preparation phase have to be repeated with the inflow of new, additional or corrected data. In this study, we selected the widely used SWAT + ecohydrological model as an illustrative example to investigate challenges related to input data preparation. To assist in these tasks, we developed an R package named SWATprepR, which provides functions for typical and repeating SWAT + model input data preparation tasks. The package supports the preparation of weather input files, atmospheric deposition, soil parameters, crop rotations, and observed (control or calibration) data, to name a few, presently with focus on European applications. The SWATprepR functions are integrated in R script workflows and can help SWAT + modelers to avoid repetitive tasks, secure reproducibility and transparently document the data processing steps. Application of the package is illustrated with a test case of a SWAT + model for a small catchment in central Poland.

中文翻译：

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SWAT + 在脚本化工作流程中准备输入数据：SWATprepR

摘要

输入数据收集、质量保证和准备是环境建模的核心但耗时的步骤。由于手动处理模型输入数据而产生的错误可能会导致环境系统的不正确表示，并可能因此导致不可信的模型模拟。在模型设置过程的早期阶段正确的输入数据准备和彻底的质量检查对于建立对模型模拟结果的信心至关重要。通常，在环境模型应用中，随着新的、附加的或校正的数据的流入，必须重复输入数据准备阶段的许多步骤。在本研究中，我们选择广泛使用的 SWAT + 生态水文模型作为说明性示例来研究与输入数据准备相关的挑战。为了协助完成这些任务，我们开发了一个名为 SWATprepR 的 R 包，它提供了典型和重复的 SWAT + 模型输入数据准备任务的功能。该软件包支持准备天气输入文件、大气沉降、土壤参数、作物轮作和观测（控制或校准）数据等，目前重点关注欧洲应用。SWATprepR 函数集成在 R 脚本工作流程中，可以帮助 SWAT + 建模者避免重复任务、确保可重复性并透明地记录数据处理步骤。该软件包的应用通过波兰中部一个小流域的 SWAT + 模型测试案例进行了说明。