Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.883 IF 2.883
  • IF 5-year value: 3.321 IF 5-year
    3.321
  • CiteScore value: 3.07 CiteScore
    3.07
  • SNIP value: 1.336 SNIP 1.336
  • IPP value: 2.80 IPP 2.80
  • SJR value: 1.024 SJR 1.024
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 81 Scimago H
    index 81
  • h5-index value: 43 h5-index 43
Discussion papers
https://doi.org/10.5194/nhess-2019-296
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-296
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 10 Sep 2019

Submitted as: research article | 10 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

A joint probabilistic index for objective drought identification: the case study of Haiti

Beatrice Monteleone1, Brunella Bonaccorso2, and Mario Martina1 Beatrice Monteleone et al.
  • 1Scuola Universitaria Superiore IUSS Pavia, Pavia, 27100, Italy
  • 2Department of Engineering, University of Messina, S. Agata, Messina, 98166, Italy

Abstract. Since drought is a multifaceted phenomenon, more than one variable should be considered for a proper understanding of such extreme event in order to implement adequate risk mitigation strategies such as weather or agricultural indices insurance programs, or disaster risk financing tools. This paper proposes a new composite drought index that accounts for both meteorological and agricultural drought conditions, by combining in a probabilistic framework two consolidated drought indices: the Standardized Precipitation Index (SPI) and the Vegetation Health Index (VHI). The new index, called Probabilistic Precipitation Vegetation Index (PPVI), is scalable, transferable all over the globe and can be updated in near-real time. Furthermore, it is a remote-sensing product, since precipitation are retrieved from satellite and the VHI is a remote-sensing index. In addition, a set of rules to objectively identify drought events is developed and implemented. Both the index and the set of rules have been applied to Haiti. The performance of PPVI has been evaluated by means of the Receiver Operating Characteristics curve and compared to the ones of SPI and VHI considered separately. The new index outperformed SPI and VHI both in drought identification and characterization, thus revealing potential for an effective implementation within drought early warning systems.

Beatrice Monteleone et al.
Interactive discussion
Status: open (until 05 Nov 2019)
Status: open (until 05 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Beatrice Monteleone et al.
Beatrice Monteleone et al.
Viewed  
Total article views: 127 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
95 31 1 127 2 1
  • HTML: 95
  • PDF: 31
  • XML: 1
  • Total: 127
  • BibTeX: 2
  • EndNote: 1
Views and downloads (calculated since 10 Sep 2019)
Cumulative views and downloads (calculated since 10 Sep 2019)
Viewed (geographical distribution)  
Total article views: 62 (including HTML, PDF, and XML) Thereof 61 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 23 Sep 2019
Publications Copernicus
Download
Short summary
This study proposes a new drought index that combines meteorological and agricultural drought aspects. The index is scalable, transferable all over the globe, can be updated in near-real time and is a remote-sensing product, since only satellite-based datasets were employed. A set of rules to objectively identify drought events is also implemented. We found that the set of rules, applied together with the new index, outperformed conventional drought indices in identifying droughts in Haiti.
This study proposes a new drought index that combines meteorological and agricultural drought...
Citation