The Biodiversity Observing System Simulation Experiment (BOSSE v1.0) ERA5-Land Meteorological time series

This dataset includes two-year long (2020-2022) time series of ERA5-Land hourly meteorological data datasets over 15 randomly sampled locations in each of the four Köppen Climatic Zones (Continental, Dry, Temperate, and Tropical). These data are necessary imputs of the Python pyBOSSE package corresponding to the Biodiversity Observing System Simulation Experiment (BOSSE v1.0). BOSSE aims to support the development of methods estimating plant diveristy and its relationships with ecosystem functions by means of simulating synthetic landscapes. These "Scenes" feature communities of various vegetation species whose traits´s seasonality and ecosystem functions (related to soil, water, and carbon fluxes) respond to meteorology (i.e., this dataset) and other environmental factors. BOSSE generates also various types of remote sensing imagery linked to the traits and functions via radiative transfer theory. pyBOSSE is available in https://github.com/JavierPachecoLabrador/pyBOSSE The files contained must be located in /pyBOSSE/BOSSE_inputs/Meteo_ERA5land本数据集包含2020至2022年共计两年的ERA5-Land逐小时气象时间序列数据，采样覆盖柯本气候分类法（Köppen Climatic Zones）划分的四大气候区——大陆性、干旱性、温带与热带气候区，每个气候区随机选取15个采样点位。该数据集是Python工具包pyBOSSE的必要输入数据，对应生物多样性观测系统模拟试验（Biodiversity Observing System Simulation Experiment, BOSSE v1.0）。BOSSE旨在通过模拟合成景观，开发用于估算植物多样性及其与生态系统功能之间关联的研究方法。此类“模拟场景（Scenes）”包含多样的植被物种群落，其性状的季节动态以及与土壤、水分和碳通量相关的生态系统功能，会响应气象条件（即本数据集）及其他环境因子的变化。BOSSE还可基于辐射传输理论，生成与上述植被性状和生态系统功能相关的多种遥感影像。pyBOSSE工具包的开源地址为https://github.com/JavierPachecoLabrador/pyBOSSE。 本数据集包含的文件需放置于/pyBOSSE/BOSSE_inputs/Meteo_ERA5land路径下。