Articles | Volume 14, issue 7
Earth Syst. Sci. Data, 14, 3115–3135, 2022
https://doi.org/10.5194/essd-14-3115-2022
Earth Syst. Sci. Data, 14, 3115–3135, 2022
https://doi.org/10.5194/essd-14-3115-2022
Data description paper
08 Jul 2022
Data description paper | 08 Jul 2022

A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan

Amy McNally et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-420', Anonymous Referee #1, 25 Jan 2022
    • AC1: 'Reply on RC1', Amy McNally, 14 Apr 2022
  • RC2: 'Comment on essd-2021-420', Anonymous Referee #2, 09 Mar 2022
    • AC2: 'Reply on RC2', Amy McNally, 14 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Amy McNally on behalf of the Authors (20 May 2022)  Author's response    Author's tracked changes
ED: Publish subject to technical corrections (06 Jun 2022) by David Carlson
AR by Amy McNally on behalf of the Authors (08 Jun 2022)  Author's response    Manuscript
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Short summary
The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global and Central Asia data streams described here generate routine estimates of snow, soil moisture, runoff, and other variables useful for tracking water availability. These data are hosted by NASA and USGS data portals for public use.