Daily Terra–Aqua MODIS cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019

Muhammad, Sher; Thapa, Amrit

doi:https://doi.org/10.5194/essd-13-767-2021

Articles | Volume 13, issue 2

https://doi.org/10.5194/essd-13-767-2021

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

https://doi.org/10.5194/essd-13-767-2021

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

Articles | Volume 13, issue 2

Data description paper

|

02 Mar 2021

Data description paper |

| 02 Mar 2021

Daily Terra–Aqua MODIS cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019

Sher Muhammad and Amrit Thapa

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Final revised paper (published on 02 Mar 2021)
Preprint (discussion started on 12 Aug 2020)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for ESSD-2020-141', Anonymous Referee #1, 04 Oct 2020
- AC1: 'Reply to Anonymous Referee #1', Sher Muhammad, 04 Oct 2020
RC2: 'Reviewer comments', Anonymous Referee #2, 20 Oct 2020
- AC2: 'Response to Anonymous Referee #2', Sher Muhammad, 12 Nov 2020

Peer-review completion

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

AR by Svenja Lange on behalf of the Authors (12 Nov 2020) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (23 Jan 2021) by Birgit Heim

AR by Sher Muhammad on behalf of the Authors (27 Jan 2021) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (29 Jan 2021) by Birgit Heim

Short summary

Snow is a dominant water resource in high-mountain Asia and crucial for mountain communities and downstream populations. The present MODIS snow products are significantly uncertain and not useful for observation and simulation of climate, hydrology, and other water-related studies. This study reduces uncertainty in the daily MODIS snow data and generates a MODIS Terra–Aqua combined product reducing uncertainties due to cloud cover, data gaps, and other errors caused by sensor limitations.