A novel soil moisture‐based drought severity index (DSI) combining water deficit magnitude and frequency. Issue 2 (3rd August 2015)
- Record Type:
- Journal Article
- Title:
- A novel soil moisture‐based drought severity index (DSI) combining water deficit magnitude and frequency. Issue 2 (3rd August 2015)
- Main Title:
- A novel soil moisture‐based drought severity index (DSI) combining water deficit magnitude and frequency
- Authors:
- Cammalleri, Carmelo
Micale, Fabio
Vogt, Jürgen - Abstract:
- Abstract: A correct identification of drought events over vegetated lands can be achieved by detecting those soil moisture conditions that are both unusually dry compared with the 'normal' state and causing severe water stress to the vegetation. In this paper, we propose a novel drought index that accounts for the mutual occurrence of these two conditions by means of a multiplicative approach of a water deficit factor and a dryness probability factor. The former quantifies the actual level of plant water stress, whereas the latter verifies that the current water deficit condition is unusual for the specific site and period. The methodology was tested over Europe between 1995 and 2012 using soil moisture maps simulated by Lisflood, a distributed hydrological precipitation–runoff model. The proposed drought severity index (DSI) demonstrates to be able to detect the main drought events observed over Europe in the last two decades, as well as to provide a reasonable estimation of both extension and magnitude of these events. It also displays an improved adaptability to the range of possible conditions encountered in the experiment as compared with currently available indices based on the sole magnitude or frequency. The results show that, for the analyzed period, the most extended drought events observed over Europe were the ones in Central Europe in 2003 and in southern Europe in 2011/2012, while the events affecting the Iberian Peninsula in 1995 and 2005 and Eastern Europe inAbstract: A correct identification of drought events over vegetated lands can be achieved by detecting those soil moisture conditions that are both unusually dry compared with the 'normal' state and causing severe water stress to the vegetation. In this paper, we propose a novel drought index that accounts for the mutual occurrence of these two conditions by means of a multiplicative approach of a water deficit factor and a dryness probability factor. The former quantifies the actual level of plant water stress, whereas the latter verifies that the current water deficit condition is unusual for the specific site and period. The methodology was tested over Europe between 1995 and 2012 using soil moisture maps simulated by Lisflood, a distributed hydrological precipitation–runoff model. The proposed drought severity index (DSI) demonstrates to be able to detect the main drought events observed over Europe in the last two decades, as well as to provide a reasonable estimation of both extension and magnitude of these events. It also displays an improved adaptability to the range of possible conditions encountered in the experiment as compared with currently available indices based on the sole magnitude or frequency. The results show that, for the analyzed period, the most extended drought events observed over Europe were the ones in Central Europe in 2003 and in southern Europe in 2011/2012, while the events affecting the Iberian Peninsula in 1995 and 2005 and Eastern Europe in 2000 were among the most severe ones. © 2015 European Commission ‐ Joint Research Centre. Hydrological Processes published by John Wiley & Sons Ltd. … (more)
- Is Part Of:
- Hydrological processes. Volume 30:Issue 2(2016)
- Journal:
- Hydrological processes
- Issue:
- Volume 30:Issue 2(2016)
- Issue Display:
- Volume 30, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 30
- Issue:
- 2
- Issue Sort Value:
- 2016-0030-0002-0000
- Page Start:
- 289
- Page End:
- 301
- Publication Date:
- 2015-08-03
- Subjects:
- European Drought Observatory -- EDO -- soil water deficit -- dryness probability
Hydrology -- Periodicals
Hydrology -- Research -- Periodicals
Hydrologic models -- Periodicals
Hydrological forecasting -- Periodicals
631.432 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/hyp.10578 ↗
- Languages:
- English
- ISSNs:
- 0885-6087
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4347.625600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2181.xml