青藏高原总初级生产力数据集（1980-2018）

该数据集是基于16个动态全球植被模式（TRENDY v8）在S2情景下（CO2+Climate）模拟的GPP，表征生态系统总初级生产力。数据来源于Le Quéré et al. (2019)，具体信息和方法参见文章。源数据范围为全球，本数据集选取了青藏高原区域，空间上用最近邻方法插值到0.5度，时间上保持了原有的月尺度。该数据集是标准的模型输出数据，常被用作评定总初级生产力的时间和空间格局，且与其它遥感观测、通量观测等数据进行比较和参考，具有实际意义和理论价值。

This dataset includes gross primary productivity (GPP) simulations from 16 dynamic global vegetation models (TRENDY v8) under the S2 scenario (CO₂ + Climate), where GPP stands for ecosystem gross primary productivity. The original data is sourced from Le Quéré et al. (2019), and detailed information and methodologies can be found in the original paper. The raw dataset covers the entire globe, while this subset focuses on the Tibetan Plateau region. Spatially, the data was interpolated to a 0.5° spatial resolution using the nearest neighbor method, and the original monthly temporal resolution was retained. As a standard model output, this dataset is frequently utilized to evaluate the temporal and spatial patterns of gross primary productivity. It also acts as a reference for comparative analyses with other datasets such as remote sensing observations and flux tower observations, carrying both practical and theoretical research significance.

搜集汇总

背景与挑战

背景概述

该数据集是基于16个动态全球植被模式（TRENDY v8）在S2情景下模拟的青藏高原总初级生产力（GPP）数据，时间跨度为1980年至2018年，空间分辨率为10km-100km，时间分辨率为月。它通过插值方法聚焦于青藏高原区域，常用于评估生态系统总初级生产力的时空格局，并与遥感观测等数据进行比较，具有重要的实际应用和理论研究价值。