European hourly GPP for 2017 based on LPJ-GUESS (generated in 2024)

The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 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 EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
GPP is defined as the rate of the total amount of carbon fixed by plants in the process of photosynthesis in a given length of time. Positive values are fluxes into the biosphere
Wu, Z., Michurow, M., Miller, P., 2024. European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/W3N3-9S4D

该产品生成于2024年。LPJ-GUESS（版本4.0，修订号6562）通过强制施加每小时ERA5气候数据集，以0.5度分辨率模拟欧洲陆地CO2通量。LPJ-GUESS是一款基于过程的动态全球植被模型，它利用时间序列数据（例如气候强迫和大气二氧化碳浓度，采用WMO CO2 X2019尺度）作为输入，模拟环境变化对植被结构及组成的效应，具体针对欧盟植物功能类型（PFTs）、土壤水文学和生物地球化学（Smith 等，2001年，https://web.nateko.lu.se/lpj-guess/）。此模拟通过自然过程，如生物量分配、生长、繁殖、建立、死亡和干扰等，模型化自然通量，例如植被和土壤在气候变化下的通量。这意味着它不包括人为活动，如森林管理或农业管理。正值表示从大气中吸收CO2，而负值表示向大气释放CO2。
GPP定义为在特定时间段内，植物通过光合作用固定碳的总量的速率。正值代表生物圈内的通量。
Wu, Z., Michurow, M., Miller, P., 2024. 基于LPJ-GUESS 2024年生成的2010-2023年欧洲每小时NEP、NPP、GPP和异养呼吸（https://doi.org/10.18160/W3N3-9S4D）。