Published January 3, 2020 | Version v1
Other Open

Evaluation of a combined drought indicator and its potential for agricultural drought prediction in southern Spain

  • 1. Department of Agronomy, University of Córdoba
  • 2. CEIGRAM, Universidad Politécnica de Madrid
  • 3. nstitute for Sustainable Agriculture, CSIC, Cordova

Description

Drought prediction is crucial, especially where the rainfall regime is irregular, such as in Mediterranean countries. A new combined drought indicator (CDI) integrating rainfall, soil moisture and vegetation dynamics is proposed. Standardized precipitation index (SPI) is used for evaluating rainfall trends. A bucket-type soil moisture model is employed for keeping track of soil moisture and calculating
anomalies, and, finally, satellite-based normalized difference vegetation index (NDVI) data are used for monitoring vegetation
response. The proposed CDI has four levels, at increasing degrees of severity: watch, warning, alert type I and alert type II.
This CDI was thus applied over the period 2003–2013 to five study sites, representative of the main grain-growing areas
of SW Spain. The performance of the CDI levels was assessed by comparison with observed crop damage data. Observations show a good match between crop damage and the CDI. Important crop drought events in 2004–2005 and 2011–2012, distinguished by crop damage in between 70% and 95% of the total insured area, were correctly predicted by the proposed CDI in all five areas.

Notes

Published by Copernicus Publications on behalf of the European Geosciences Union.

Files

nhess-20-21-2020.pdf

Files (5.9 MB)

Name Size
md5:a9c307c10909d88e6dcd9c81a2e00f37
5.9 MB Preview Download

Additional details

Funding

European Commission
BEACON - Boosting Agricultural Insurance based on Earth Observation data 821964