A Global Dataset of Monthly Non-water-limited Canopy Resistance from 1982 to 2014

Non-water-limited canopy resistance is the key paramter in many ecohydrological models. However, yet there is still no such data over large scales, and consequently privious studies usually assumed it to be 0 or 70 s m-1, which would induce large uncertainties in model output. Here the non-water-limited canopy resistance dataset is estimated based on a Jarvis-type canopy resistance model and optimized parameters, using leaf area index, solar radiation, air temperature, air CO2 concentration, vapor pressure deficit, wind speed and root zone soil water content as the drivers.

无水分限制冠层阻力（non-water-limited canopy resistance）是众多生态水文模型中的核心参数。然而当前仍缺乏大尺度范围的此类数据集，既往相关研究通常将其取值假定为0或70 s·m⁻¹，这会给模型模拟结果带来显著不确定性。本数据集基于贾维斯型冠层阻力模型与优化后的参数，以叶面积指数、太阳辐射、气温、大气二氧化碳浓度、水汽压亏缺、风速及根区土壤含水量作为驱动因子，完成估算构建。