LPJ-GUESS Europe hourly rtot for 2020

LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly rtot for 2020, Miscellaneous, https://hdl.handle.net/11676/pq-r_bHHkLWhXaSh1-pCt1bI

LPJ-GUESS（修订版6562）经每小时ERA5气候数据集强制驱动，以模拟全球陆地净生态系统生产力（NEE）、总初级生产力（GPP）和总呼吸作用，空间分辨率为0.5度。LPJ-GUESS是一种基于过程的动态全球植被模型，它采用时间序列数据（例如，气候强迫和大气二氧化碳浓度，采用WMO CO2 X2019标准）作为输入，以模拟环境变化对植被结构及组成的影响，具体体现在欧洲植物功能类型（PFTs）、土壤水文学和生物地球化学方面（Smith等人，2001年，https://web.nateko.lu.se/lpj-guess/）。Wu, Z., Miller, P., Mischurow, M.（2023年）. LPJ-GUESS欧洲2020年每小时rtot数据，杂项，https://hdl.handle.net/11676/pq-r_bHHkLWhXaSh1-pCt1bI。