Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-21-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-21-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2020
Research article |
| 03 Jan 2020
| 03 Jan 2020
Evaluation of a combined drought indicator and its potential for agricultural drought prediction in southern Spain
María del Pilar Jiménez-Donaire
CORRESPONDING AUTHOR
Department of Agronomy, University of Córdoba, Córdoba, 14071, Spain
Ana Tarquis
CEIGRAM, Universidad Politécnica de Madrid, Madrid, 28040, Spain
Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, Madrid, 28040, Spain
Juan Vicente Giráldez
Department of Agronomy, University of Córdoba, Córdoba, 14071, Spain
Institute for Sustainable Agriculture, CSIC, Cordova,
14071, Spain
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34 citations as recorded by crossref.
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- Effects of dry spells on soil moisture and yield anomalies at a montane managed grassland site: A lysimeter climate experiment V. Forstner et al. 10.1002/eco.2518
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- Exploring factors affecting psychological resilience of farmers living in drought-affected regions in Iran: a qualitative study A. Tahernejad et al. 10.3389/fpsyg.2024.1418361
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- A revision of the Combined Drought Indicator (CDI) used in the European Drought Observatory (EDO) C. Cammalleri et al. 10.5194/nhess-21-481-2021
- Assessment of Spatiotemporal Variation of Agricultural and Meteorological Drought in Gujarat (India) Using Remote Sensing and GIS S. Bhukya et al. 10.1007/s12524-023-01715-y
- Agricultural drought severity in NE Italy: Variability, bias, and future scenarios G. Sofia et al. 10.1016/j.iswcr.2023.07.003
- Multivariate index for monitoring drought (case study, Northeastern of Iraq) I. Hasan & R. Abdullah 10.1007/s11069-023-05837-x
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- A combined drought index for monitoring and assessment of drought severity over India by integrating CHIRPS, MODIS and GRACE data S. Tarate et al. 10.1007/s10668-024-05555-9
- A seasonally blended and regionally integrated drought index using Bayesian network theory A. Raza et al. 10.1002/met.1992
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- Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM Z. Tian 10.1016/j.engappai.2020.103573
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Latest update: 23 Nov 2024
Short summary
A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and...
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