A daily, 250&thinsp;m and real-time gross primary productivity product (2000–present) covering the contiguous United States

Jiang, Chongya; Guan, Kaiyu; Wu, Genghong; Peng, Bin; Wang, Sheng

doi:https://doi.org/10.5194/essd-13-281-2021

Articles | Volume 13, issue 2

https://doi.org/10.5194/essd-13-281-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-281-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Data description paper

|

09 Feb 2021

Data description paper |

| 09 Feb 2021

A daily, 250 m and real-time gross primary productivity product (2000–present) covering the contiguous United States

Chongya Jiang, Kaiyu Guan, Genghong Wu, Bin Peng, and Sheng Wang

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Final revised paper (published on 09 Feb 2021)
Supplement to the final revised paper
Preprint (discussion started on 25 May 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review', Anonymous Referee #1, 03 Jul 2020
- AC1: 'Reply to Reviewer #1', chongya jiang, 01 Oct 2020
RC2: 'Review of "A daily, 250 m, and real-time gross primary productivity product (2000 – present) covering the Contiguous United States"', Anonymous Referee #2, 06 Jul 2020
- AC2: 'Reply to Reviewer #2', chongya jiang, 01 Oct 2020
RC3: 'Review Report', Anonymous Referee #3, 01 Aug 2020
- AC3: 'Reply to Reviewer #3', chongya jiang, 01 Oct 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by chongya jiang on behalf of the Authors (04 Nov 2020) Author's response Manuscript

ED: Publish as is (11 Nov 2020) by Jens Klump

AR by chongya jiang on behalf of the Authors (20 Nov 2020) Manuscript

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Short summary

Photosynthesis, quantified by gross primary production (GPP), is a key Earth system process. To date, there is a lack of a high-spatiotemporal-resolution, real-time and observation-based GPP dataset. This work addresses this gap by developing a SatelLite Only Photosynthesis Estimation (SLOPE) model and generating a new GPP product, which is advanced in spatial and temporal resolutions, instantaneity, and quantitative uncertainty. The dataset will benefit a range of research and applications.