Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5333-2022
https://doi.org/10.5194/essd-14-5333-2022
Data description paper
 | 
07 Dec 2022
Data description paper |  | 07 Dec 2022

Global land surface 250 m 8 d fraction of absorbed photosynthetically active radiation (FAPAR) product from 2000 to 2021

Han Ma, Shunlin Liang, Changhao Xiong, Qian Wang, Aolin Jia, and Bing Li

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-131', Anonymous Referee #1, 04 Sep 2022
  • RC2: 'Comment on essd-2022-131', Anonymous Referee #2, 23 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Han Ma on behalf of the Authors (02 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 Nov 2022) by Francesco N. Tubiello
AR by Han Ma on behalf of the Authors (03 Nov 2022)  Manuscript 
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Short summary
The fraction of absorbed photosynthetically active radiation (FAPAR) is one of the essential climate variables. This study generated a global land surface FAPAR product with a 250 m resolution based on a deep learning model that takes advantage of the existing FAPAR products and MODIS time series of observation information. Direct validation and intercomparison revealed that our product better meets user requirements and has a greater spatiotemporal continuity than other existing products.
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