The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)

Smith, Craig D.; Mekis, Eva; Hartwell, Megan; Ross, Amber

doi:https://doi.org/10.5194/essd-14-5253-2022

Articles | Volume 14, issue 12

https://doi.org/10.5194/essd-14-5253-2022

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

https://doi.org/10.5194/essd-14-5253-2022

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

Articles | Volume 14, issue 12

Data description paper

|

30 Nov 2022

Data description paper |

| 30 Nov 2022

The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)

Craig D. Smith, Eva Mekis, Megan Hartwell, and Amber Ross

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Final revised paper (published on 30 Nov 2022)
Preprint (discussion started on 19 Jul 2022)

Interactive discussion

Status: closed

RC1: 'Comment on essd-2022-208', John Kochendorfer, 29 Jul 2022

My review is included in a seperate pdf.

Citation: https://doi.org/10.5194/essd-2022-208-RC1
RC2: 'Comment on essd-2022-208', Anonymous Referee #2, 02 Sep 2022

“The hourly wind-bias adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001-2019)” provides a concise, comprehensive description of a new data set resulting from the evaluation and adjustment of hourly precipitation data at 397 automated climate stations across Canada. The authors provide a strong introduction, summarizing the issues with solid precipitation undercatch and justification for adjustments to precipitation measurements under various wind speeds and station configurations. Data and supporting documentation are available through a link provided in the manuscript. The documentation and station catalogue are comprehensive and informative, and the data set is high quality, complete, and useful. This manuscript was very well written and a pleasure to review. I have a few suggestions for revision, outlined below.

Page 3, section 1.2. It would be beneficial to provide more background information on WMO-SPICE

Page 6, section 2.1. Additional stations were selected for proximity to AHCCD, as well as data quality and site longevity. What parameters or thresholds were used for data quality and site longevity?

Page 14, line 9. Define TF; be consistent between using ‘TF’ or ‘transfer function’ throughout the manuscript

Citation: https://doi.org/10.5194/essd-2022-208-RC2
AC1: 'Comment on essd-2022-208 - Author's response to referee comments', Craig Smith, 07 Oct 2022

Please find attached our author's comments in reply to the referee comments. We would like to express our appreciation to Dr. John Kochendorfer and the Anonymous Referee for contributing their time and expertise to review this manuscript and for offering thoughtful feedback for improvements.

Citation: https://doi.org/10.5194/essd-2022-208-AC1

Peer review completion

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

AR by Craig Smith on behalf of the Authors (24 Oct 2022) Author's response Author's tracked changes Manuscript

ED: Publish as is (05 Nov 2022) by David Carlson

AR by Craig Smith on behalf of the Authors (08 Nov 2022)

Short summary

It is well understood that precipitation gauges underestimate the measurement of solid precipitation (snow) as a result of systematic bias caused by wind. Relationships between the wind speed and gauge catch efficiency of solid precipitation have been previously established and are applied to the hourly precipitation measurements made between 2001 and 2019 in the automated Environment and Climate Change Canada observation network. The adjusted data are available for download and use.