WRF simulated monthly data using different vegetation dynamics

This dataset is utilized for studying the role of vegetation dynamics in assessing the impacts of irrigation. It contains monthly averages (2005-2014) of irrigation-related variables generated from WRF with a dynamic double-cropping module. The source code of the module is publicly available at https://doi.org/10.5281/zenodo.10729554.

There are three groups (i.e., DYNM, BARE, and LUSH), each employing different vegetation dynamics. Within each group, there are two experiments: one with irrigation (after irrigation, abbreviated as AFT) and one without irrigation (before irrigation, abbreviated as BEF). The details for each group are as follows:

DYNM: This simulation group uses dynamic vegetation, where both AFT and BEF are generated using the improved WRF model.

BARE: This simulation group employs static vegetation. In this case, BEF is generated using the standard WRF model, while AFT is modified to be as bare as BEF.

LUSH: This simulation group also uses static vegetation, but here, AFT is generated with the standard WRF model, and BEF is modified to be as bare as AFT.

本数据集旨在探究植被动态在评估灌溉影响中的作用。数据集包含2005年至2014年的月均灌溉相关变量数据，这些数据由搭载动态双季作物模块的WRF模型生成。该模块的源代码可通过https://doi.org/10.5281/zenodo.10729554公开获取。
数据集共包含三组模拟方案（即DYNM、BARE与LUSH），各组采用不同的植被动态设置。每组内均设置两组试验：一组为灌溉后（After Irrigation，缩写AFT），另一组为灌溉前（Before Irrigation，缩写BEF）。各组详情如下：
DYNM组：该模拟方案采用动态植被模式，其AFT与BEF试验均基于改进版WRF模型生成。
BARE组：该模拟方案采用静态植被模式。其中BEF试验采用标准WRF模型生成，而AFT试验被修改为与BEF相同的裸地状态。
LUSH组：该模拟方案同样采用静态植被模式，但此处AFT试验采用标准WRF模型生成，而BEF试验被修改为与AFT相同的裸地状态。