A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces

Schaffitel, Axel; Schuetz, Tobias; Weiler, Markus

doi:https://doi.org/10.5194/essd-12-501-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-501-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Data description paper

|

03 Mar 2020

Data description paper |

| 03 Mar 2020

A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces

Axel Schaffitel, Tobias Schuetz, and Markus Weiler

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Final revised paper (published on 03 Mar 2020)
Preprint (discussion started on 17 Jun 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of „A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces “ by Schaffitel et al.', Heye Bogena, 27 Jun 2019
- AC1: 'Response to the comments of referee#1 Heye Bogena', Axel Schaffitel, 31 Oct 2019
RC2: 'Review ESSD-2019-97', Anonymous Referee #2, 05 Sep 2019
- AC2: 'Response to the comments of referee#2 (anonymous)', Axel Schaffitel, 31 Oct 2019

Peer-review completion

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

AR by Axel Schaffitel on behalf of the Authors (20 Dec 2019) Author's response Manuscript

ED: Publish as is (09 Jan 2020) by David Carlson

AR by Axel Schaffitel on behalf of the Authors (15 Jan 2020)

Short summary

This paper contains detailed information about the instrumentation of permeable pavements with soil moisture sensors and the performance of infiltration experiments on these surfaces. The collected data are beneficial for studying urban water and energy cycles. They contain valuable information about the hydrological behavior of permeable pavements and urban subsurface heat anomalies. Due to the lack of similar data, we are convinced that the dataset is of great scientific value.