A 1&thinsp;km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019

Song, Peilin; Zhang, Yongqiang; Guo, Jianping; Shi, Jiancheng; Zhao, Tianjie; Tong, Bing

doi:https://doi.org/10.5194/essd-14-2613-2022

Articles | Volume 14, issue 6

https://doi.org/10.5194/essd-14-2613-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-2613-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 6

Data description paper

|

08 Jun 2022

Data description paper |

| 08 Jun 2022

A 1 km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019

Peilin Song, Yongqiang Zhang, Jianping Guo, Jiancheng Shi, Tianjie Zhao, and Bing Tong

Download

Final revised paper (published on 08 Jun 2022)
Preprint (discussion started on 10 Jan 2022)

Interactive discussion

Status: closed

RC1:
'Comment on essd-2021-428', Anonymous Referee #1, 02 Feb 2022

Please find my comments attached.

Citation: https://doi.org/10.5194/essd-2021-428-RC1
- AC1: 'Reply on RC1', Peilin Song, 21 Mar 2022
  
  Dear Referee,
  please see the supplement for our repsone to your comments.
  
  Citation: https://doi.org/10.5194/essd-2021-428-AC1
RC2:
'Comment on essd-2021-428', Anonymous Referee #2, 20 Feb 2022

The authors present a downscaled soil moisture product, which combines the advantages of a 36-km resolution passive microwave remote sensing product with a 1-km resolution MODIS LST product. Such high-resolution soil moisture is very important for agriculture and water resource management. The manuscript is generally well-organized, I suggest accepting it with considering the following revisions:

1. The quality of the figures should be improved. Currently, some legends are too small to identify.

2. Fig. 7. was not used in the main text.

3. Also in Fig.7., it shows that the original PM SSM almost does not have any data in the winter season on the Tibetan Plateau. It is reasonable since, in the winter season, the soil is frozen and generally covered by snow, and then it is difficult for microwave remote sensing to identify soil moisture. However, as shown in this figure, the new 1-km downscaling product has some soil moisture data. How did it come? What did the soil moisture value during this season on the Tibetan Plateau mean? How about the accuracy of these downscaled SSM?

4. It is recommended to draw some time series of the soil moisture products, the new one, the original one, and SMAP high resolution one, on several stations, to demonstrate the advantages of this daily 1-km product.

Citation: https://doi.org/10.5194/essd-2021-428-RC2
- AC2: 'Reply on RC2', Peilin Song, 21 Mar 2022
  
  Dear Referee,
  please see the supplement for our repsone to your comments.
  
  Citation: https://doi.org/10.5194/essd-2021-428-AC2

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Peilin Song on behalf of the Authors (21 Mar 2022) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (01 Apr 2022) by Yuyu Zhou

RR by Hui Lu (06 Apr 2022)

RR by Anonymous Referee #1 (13 Apr 2022)

ED: Reconsider after major revisions (14 Apr 2022) by Yuyu Zhou

AR by Peilin Song on behalf of the Authors (02 May 2022) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (05 May 2022) by Yuyu Zhou

RR by Anonymous Referee #1 (13 May 2022)

ED: Publish as is (16 May 2022) by Yuyu Zhou

AR by Peilin Song on behalf of the Authors (17 May 2022) Manuscript

Short summary

Soil moisture information is crucial for understanding the earth surface, but currently available satellite-based soil moisture datasets are imperfect either in their spatiotemporal resolutions or in ensuring image completeness from cloudy weather. In this study, therefore, we developed one soil moisture data product over China that has tackled most of the above problems. This data product has the potential to promote the investigation of earth hydrology and be extended to the global scale.