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Global Gross Primary Production (GPP) data by Vegetation Photosynthesis Model

Global Gross Primary Production (GPP) data by Vegetation Photosynthesis Model

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Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for understanding the global carbon cycle and predicting future climate change. Multiple GPP products are currently available based on different methods, but their performances vary substantially when validated against GPP estimates from eddy covariance data. This paper provides a new GPP dataset at moderate spatial (500 m) and temporal (8-day) resolutions over the entire globe for 2000–2016. This GPP dataset is based on an improved light use efficiency theory and is driven by satellite data from MODIS and climate data from NCEP Reanalysis II. It also employs a state-of-the-art vegetation index (VI) gap-filling and smoothing algorithm and a separate treatment for C3/C4 photosynthesis pathways. All these improvements aim to solve several critical problems existing in current GPP products. With a satisfactory performance when validated against in situ GPP estimates, this dataset offers an alternative GPP estimate for regional to global carbon cycle studies.
数据使用方法

The files are named by the following rules. "GPP.VPM.v20.YYYY.monthly.CMG_0.05.nc" or "GPP.VPM.v20.YYYY.8-day.CMG_0.05.nc" are for the monthly and 8-day temporal resolutions, respectively. "YYYY" represents the year. The units for the monthly data is g C m^-2 month^-1, and is g C m^-2 day^-1 for the 8-day data.

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文章的引用

1. Zhang, Y., Xiao, X., Wu, X., Zhou, S., Zhang, G., Qin, Y., & Dong, J. (2015) A global moderate resolution dataset of gross primary production of vegetation for 2000–2016, Scientific Data, 4:170165(查看)

数据的引用

张尧. (2021). Global Gross Primary Production (GPP) data by Vegetation Photosynthesis Model. 国家青藏高原科学数据中心, 2021. doi: https://doi.org/10.6084/m9.figshare.c.3789814.v1.
[Zhang, Y. (2021). . National Tibetan Plateau Data Center, 2021]

使用本数据时必须引用“文章的引用”中列出的文献，并进行数据的引用

使用条款

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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关键词
空间位置
East: 180.00 West: -180.00
South: -90.00 North: 90.00
数据细节
  • 时间分辨率：Monthly
  • 空间分辨率：1km - 10km
  • 大小：9500.0 MB
  • 浏览：965 次
  • 下载量：82 次
  • 数据时间范围：2000-03-01 至 2019-12-31
  • 共享方式： 开放获取
  • 元数据更新时间：2021-10-17
联系信息

张尧

分发方： 时空三极环境大数据平台

Email： poles@itpcas.ac.cn

导出元数据
Word JSON

联系方式

中国科学院西北生态环境资源研究院 0931-4967287 poles@itpcas.ac.cn

友情链接

国家青藏高原科学数据中心
三江源国家公园星空地一体化生态监测数据平台
寒区旱区科学数据中心
数字黑河

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