Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates

Processed global terrestrial gross primary production (GPP) from three terrestrial biosphere models (TBMs). Two simulations were run with each model, one that selects the rate limiting process of photosynthesis based on the minimum of the potential rates (following Farquhar et al. 1980) and the other that uses quadratic smoothing between the potential rates (following Collatz et al. 1991). The three TBMs are: 1) the Energy Exascale Earth System Model (E3SM) land model (ELM) (release: v1.1.0) (Burrows et al., 2020), a coupled carbon, nitrogen, and phosphorus model with sun/shade big-leaf canopy photosynthesis scaling. 2) The Functionally Assembled Terrestrial Ecosystem Simulator (FATES, tag: sci.1.30.0_api.8.0.0) (Koven et al., 2019), coupled with the Community Land Model (CLM, version 5; Lawrence et al., 2019), a carbon-only vegetation demography model with multi-leaf and multi-canopy layers for scaling photosynthesis, and with a leaf area index (LAI) optimisation scheme. 3) The Sheffield Dynamic Global Vegetation Model (SDGVM, tag: Walkeretal2020_GCB), a carbon-only model with multi-leaf-layer canopy photosynthesis scaling and also with an LAI optimisation scheme (Walker et al., 2017; Woodward & Lomas, 2004). These data were generated to evaluate the effect of Collatz smoothing of limiting rates on simulated GPP across a range of terrestrial biosphere models. Analysis of results can be found in Walker et al. (2020). This dataset is comprised of R scripts to process data and produce figures and .RDS files, a binary format specific to R and read with the 'readRDS' function.

本数据集包含三套陆地生物圈模型（terrestrial biosphere models, TBMs）所输出的经过预处理的全球陆地总初级生产力（terrestrial gross primary production, GPP）数据。为每个模型均运行了两组模拟：一组基于潜在光合速率的最小值选择光合作用限速过程（遵循Farquhar等人1980年的研究范式），另一组则在潜在光合速率之间采用二次平滑方法（遵循Collatz等人1991年的研究范式）。
三套陆地生物圈模型分别为：
1. 能量极端计算地球系统模型（Energy Exascale Earth System Model, E3SM）陆面模型（ELM）（版本：v1.1.0）（Burrows等人，2020）：该模型为碳-氮-磷耦合模型，采用阳生/阴生大叶片冠层光合作用尺度化方案。
2. 功能组装陆地生态系统模拟器（Functionally Assembled Terrestrial Ecosystem Simulator, FATES，版本标签：sci.1.30.0_api.8.0.0）（Koven等人，2019）：该模型与社区陆面模型（Community Land Model, CLM，版本5；Lawrence等人，2019）耦合，为仅含碳循环的植被动态模型，采用多叶片、多层冠层的光合作用尺度化方案，并配备叶面积指数（leaf area index, LAI）优化方案。
3. 谢菲尔德动态全球植被模型（Sheffield Dynamic Global Vegetation Model, SDGVM，版本标签：Walkeretal2020_GCB）：该模型为仅含碳循环的模型，采用多叶片层冠层光合作用尺度化方案，并配备叶面积指数优化方案（Walker等人，2017；Woodward & Lomas，2004）。
本数据集的生成目标为评估：在多套陆地生物圈模型中，限速速率的Collatz平滑方法对模拟总初级生产力结果的影响。相关结果分析可参见Walker等人（2020）的研究。
本数据集包含用于数据处理与图表生成的R脚本，以及R语言专属的二进制格式文件.RDS（可通过`readRDS`函数读取）。