Climate Data, Köppen-Geiger Subclasses and Python Scripts for "A Köppen-Geiger Classification Derivative Tailored for Numerical Modeling of Ecosystems within Watershed Dynamics"

CC_files_sorted.tar.gz This archive contains: MODAL2_E_CLD_FR_YR-MONTH-DAY.FLOAT/ – All the TIFF files used to extract cloud cover data, which were provided as input parameters for the sampling plan through the main_weather.py Python script. sampling_plan.tar.gz This archive contains: All the Python scripts used to extract climate data for building the subclasses (with main_weather.py used to initiate the database construction); Two Python scripts (check_if_absent.py followed by check_if_only_partial.py) used to validate the database construction phase. The files (blocks) containing the sampling plan (latitude, longitude) resultat_degre_polynome_10.tar.gz This archive contains: PolyFit_sous_climats_data/ – For each subclass, the data of the polynomial regression, including fitted values and confidence bands; PolyFit_sous_climats_Figures/ – For each subclass, figures of the polynomial regression with the associated confidence bands. Additional material will be made available shortly in a v2. It will include: Subclass-to-group assignment files corresponding to group numbers (transverse classification) ranging from 8 to 20; All scripts and datasets used to perform GLM simulations of Lake Mendota under stationary conditions.CC_files_sorted.tar.gz 该归档文件包含： MODAL2_E_CLD_FR_YR-MONTH-DAY.FLOAT/——用于提取云量数据的全部标签图像文件格式（TIFF, Tagged Image File Format）文件，此类文件作为输入参数，经由Python脚本`main_weather.py`提供给采样计划。 sampling_plan.tar.gz 该归档文件包含： 用于提取气候数据以构建子类的全部Python脚本（其中`main_weather.py`用于启动数据库构建流程）； 用于验证数据库构建阶段的两个Python脚本（依次执行`check_if_absent.py`与`check_if_only_partial.py`）； 包含采样计划（纬度、经度信息）的文件块。 resultat_degre_polynome_10.tar.gz 该归档文件包含： PolyFit_sous_climats_data/——针对每个子类，存储多项式回归的相关数据，包括拟合值与置信带； PolyFit_sous_climats_Figures/——针对每个子类，生成带有对应置信带的多项式回归可视化图表。 额外配套材料将于v2版本中陆续发布，届时将包含： 对应分组编号（横向分类）为8至20的子类-分组分配文件； 全部用于在稳态条件下开展门多塔湖（Lake Mendota）广义线性模型（GLM, Generalized Linear Model）模拟的脚本与数据集。