Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States

Farahmand, Alireza; Stavros, E. Natasha; Reager, John T.; Behrangi, Ali; Randerson, James T.; Quayle, Brad

doi:https://doi.org/10.5194/nhess-20-1097-2020

Articles | Volume 20, issue 4

https://doi.org/10.5194/nhess-20-1097-2020

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

https://doi.org/10.5194/nhess-20-1097-2020

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

Articles | Volume 20, issue 4

Research article

|

24 Apr 2020

Research article |

| 24 Apr 2020

Satellite hydrology observations as operational indicators of forecasted fire danger across the contiguous United States

Alireza Farahmand, E. Natasha Stavros, John T. Reager, Ali Behrangi, James T. Randerson, and Brad Quayle

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Final revised paper (published on 24 Apr 2020)
Preprint (discussion started on 02 May 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 06 Jun 2019
- AC1: 'Respond to RC1', Alireza Farahmand, 26 Dec 2019
SC1: 'Comment on the manuscript “Satellite Hydrology Observations as Operational Indicators of Forecasted Fire Danger across the Contiguous United States” by Farahmand et al.', Matin Rahnamay Naeini, 18 Jul 2019
- AC2: 'Respond to SC1', Alireza Farahmand, 26 Dec 2019
RC2: 'Review comments on the manuscript by Farahmand et al.', Anonymous Referee #2, 31 Oct 2019
- AC3: 'Respond to RC2', Alireza Farahmand, 26 Dec 2019

Peer-review completion

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

ED: Reconsider after major revisions (further review by editor and referees) (28 Dec 2019) by Vassiliki Kotroni

AR by Alireza Farahmand on behalf of the Authors (15 Jan 2020)

ED: Referee Nomination & Report Request started (29 Jan 2020) by Vassiliki Kotroni

RR by Anonymous Referee #2 (01 Mar 2020)

ED: Publish as is (08 Mar 2020) by Vassiliki Kotroni

AR by Alireza Farahmand on behalf of the Authors (19 Mar 2020)

Short summary

Wildfires result in billions of dollars of losses each year. Most wildfire predictions have a 10 d lead-time. This study introduces a framework for a 1-month lead-time prediction of wildfires based on vapor pressure deficit and surface soil moisture in the US. The results show that the model can successfully predict burned area with relatively small margins of error. This is especially important for operational wildfire management such as national resource allocation.