Global trend analysis of the MODIS drought severity index

Orvos, P. I.; Homonnai, V.; Várai, A.; Bozóki, Z.; Jánosi, I. M.

doi:https://doi.org/10.5194/gi-4-189-2015

Articles | Volume 4, issue 2

https://doi.org/10.5194/gi-4-189-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-4-189-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 4, issue 2

Research article

|

12 Oct 2015

Research article |

| 12 Oct 2015

Global trend analysis of the MODIS drought severity index

P. I. Orvos, V. Homonnai, A. Várai, Z. Bozóki, and I. M. Jánosi

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Final revised paper (published on 12 Oct 2015)
Preprint (discussion started on 21 Jan 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C1: 'Climate versus direct human impact signatures -- what can be learned from DSI?', Reik Donner, 18 Feb 2015
- AC C33: 'Reply to the comments', Imre M. Janosi, 21 Jun 2015
RC C21: 'Review of "Global trend analysis of the MODIS drought severity index" by P. I. Orvos et al.', Anonymous Referee #2, 22 May 2015
- AC C41: 'Reply to the comments of Referee #2', Imre M. Janosi, 21 Jun 2015

Short summary

The remotely sensed drought severity index (DSI) records compiled by Mu et al. (2013) exhibit significant local trends in several geographic areas. Since the interpretation of DSI values and trends depend on several local factors, standard field significance tests cannot provide more reliable results than the presented local trend survey. The observed continent-wide trends might be related to a slow (decadal) mode of climate variability, a link to global climate change cannot be established.