1&thinsp;km monthly temperature and precipitation dataset for China from 1901 to 2017

Peng, Shouzhang; Ding, Yongxia; Liu, Wenzhao; Li, Zhi

doi:https://doi.org/10.5194/essd-11-1931-2019

Articles | Volume 11, issue 4

https://doi.org/10.5194/essd-11-1931-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-11-1931-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Data description paper

|

13 Dec 2019

Data description paper |

| 13 Dec 2019

1 km monthly temperature and precipitation dataset for China from 1901 to 2017

Shouzhang Peng, Yongxia Ding, Wenzhao Liu, and Zhi Li

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Final revised paper (published on 13 Dec 2019)
Supplement to the final revised paper
Preprint (discussion started on 02 Sep 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of Peng et al "1-km monthly temperature and precipitation dataset for China from 1901–2017"', Anonymous Referee #1, 09 Sep 2019
- RC2: 'review', Anonymous Referee #2, 12 Sep 2019
  - AC2: 'Response to Referee 2' comments and revised manuscript', Shouzhang Peng, 29 Oct 2019
- AC1: 'Response to Referee 1' comments and revised manuscript', Shouzhang Peng, 29 Oct 2019

Peer-review completion

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

AR by Shouzhang Peng on behalf of the Authors (29 Oct 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Nov 2019) by Ge Peng

RR by Anonymous Referee #1 (10 Nov 2019)

ED: Publish as is (11 Nov 2019) by Ge Peng

Short summary

This study describes a 1 km monthly minimum, maximum, and mean temperatures and precipitation dataset for the mainland area of China during 1901–2017. It is the first dataset developed with such a high spatiotemporal resolution over such a long time period for China. The dataset is well evaluated by the observations using 496 national weather stations, and the evaluation indicated the dataset is sufficiently reliable for use in investigation of climate change across China.