中国区域PML-V2陆地蒸散发与总初级生产力数据集（2000.02.26-2020.12.31）

中国区域PML-V2水碳耦合的陆地蒸散发与总初级生产力数据集，即PML-V2(China)，包括总初级生产力（gross primary product, GPP），植被蒸腾（vegetation transpiration, Ec），土壤蒸发（soil evaporation, Es），冠层截流蒸发（vaporization of intercepted rainfall, Ei）和水体、冰雪蒸发（ET_water），共5个要素。数据格式为TIFF，时空分辨率为1天、500米，时间跨度为2000.02.26-2020.12.31。

与全球版本相比，PML-V2(China)产品在中国区域的模拟精度有很大的提升，且具有以下改进和创新：
i. 相较于全球版本的八天分辨率，新产品的时间分辨率升至每日；
ii. 观测数据来自中国26个涡动通量站，其下垫面包括植被稀疏的荒漠在内的9种植被功能型，并用于模型的参数校准（用于率定全球版产品的中国站点仅有8个，只覆盖5种植被类型）；
iii. 2000-2018年使用0.1°的中国区域气象要素驱动数据，2019-2020年使用偏差校正的全球陆面数据同化系统GLDAS-2.1气象数据，这些气象输入数据用来替换原先0.25°的GLDAS输入；
iv. 使用ERA5陆地的地表温度取代空气温度作为输入，用于计算输出长波辐射；
v. 将改进的Whittaker滤波的MODIS叶面积指数作为模型输入，新产品在监测作物耗水量和揭示种植制度特征方面提供了新的见解。

注：本数据集不包含中国南海部分。

The PML-V2(China) dataset refers to the China-specific terrestrial evapotranspiration and gross primary productivity dataset coupled with water-carbon cycles, which includes five variables: gross primary productivity (GPP), vegetation transpiration (Ec), soil evaporation (Es), vaporization of intercepted rainfall (Ei), and evaporation from water bodies, snow and ice (ET_water). The data is stored in TIFF format, with a temporal resolution of 1 day and spatial resolution of 500 meters, covering the period from February 26, 2000 to December 31, 2020.

Compared with the global version of PML-V2, the PML-V2(China) product has greatly improved simulation accuracy across China, and features the following improvements and innovations:
i. The temporal resolution has been upgraded from the 8-day resolution of the global version to daily;
ii. The observational data is sourced from 26 eddy covariance flux stations across China, whose underlying surfaces cover 9 plant functional types including sparsely vegetated desert, and is used for model parameter calibration (only 8 Chinese sites covering 5 vegetation types were used for calibrating the global version of the product);
iii. Meteorological driving data at 0.1° spatial resolution for China was used for the period 2000–2018, while bias-corrected Global Land Data Assimilation System (GLDAS)-2.1 meteorological data was used for 2019–2020, replacing the original 0.25° GLDAS input data;
iv. ERA5 land surface temperature was used as input instead of air temperature for calculating outgoing longwave radiation;
v. The improved Whittaker-filtered MODIS Leaf Area Index (LAI) was adopted as model input, providing new insights into monitoring crop water consumption and revealing cropping system characteristics.

Note: This dataset does not include the South China Sea.

搜集汇总

背景与挑战

背景概述

中国区域PML-V2陆地蒸散发与总初级生产力数据集（2000.02.26-2020.12.31）是一个高时空分辨率的水碳耦合数据集，包含5个关键要素，适用于中国区域的水碳通量研究。