Global assessment of the standardized evapotranspiration deficit index (SEDI) for drought analysis and monitoring

Sergio M. Vicente-Serrano; Diego G. Miralles; Fernando Domínguez-Castro; Cesar Azorin-Molina; Ahmed El Kenawy; Tim R. Mcvicar; Miquel Tomás-Burguera; Santiago Beguería; Marco Maneta; Marina Peña-Gallardo

doi:10.1175/JCLI-D-17-0775.1

Global assessment of the standardized evapotranspiration deficit index (SEDI) for drought analysis and monitoring

Sergio M. Vicente-Serrano
, Diego G. Miralles
, Fernando Domínguez-Castro
, Cesar Azorin-Molina
, Ahmed El Kenawy
, Tim R. Mcvicar
, Miquel Tomás-Burguera
, Santiago Beguería
, Marco Maneta
, Marina Peña-Gallardo

Geosciences

Research output: Contribution to journal › Article › peer-review

122 Scopus citations

Abstract

This article developed and implemented a new methodology for calculating the standardized evapotranspiration deficit index (SEDI) globally based on the log-logistic distribution to fit the evaporation deficit (ED), the difference between actual evapotranspiration (ETa) and atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used, a log-logistic distribution most optimally fitted the ED time series. As such, in many regions across the terrestrial globe, the SEDI is insensitive to the AEDmethod used for calculation, with the exception of winter months and boreal regions. The SEDI showed significant correlations (p < 0.05) with the standardized precipitation evapotranspiration index (SPEI) across a wide range of regions, particularly for short ( < 3 month) SPEI time scales. This work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, and it assesses the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.

Original language	English
Pages (from-to)	5371-5393
Number of pages	23
Journal	Journal of Climate
Volume	31
Issue number	14
DOIs	https://doi.org/10.1175/JCLI-D-17-0775.1
State	Published - Jul 1 2018

Funding

Acknowledgments. This work was supported by the research projects PCIN-2015-220 and CGL2014-52135-C03-01 financed by the Spanish Commission of Science and Technology and FEDER. IMDROFLOOD financed by the Water Works 2014 co-funded all of the European Commission and INDECIS, which is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (Sweden), DLR (Germany), BMWFW (Austria), IFD (Denmark), MINECO (Spain), and ANR (France), with co-funding by the European Union (Grant 690462). Diego G. Miralles acknowledges support from the European Research Council (ERC) under Grant Agreement 715254 (DRY–2–DRY). Marina Peña-Gallardo was supported by the Spanish Ministry of Economy and Competitiveness and Miquel Tomás-Burguera was supported by a doctoral grant by the Ministerio de Educación, Cultura y Deporte.

Funders	Funder number
715254
European Commission	690462

Keywords

Climate variability
Drought
Evapotranspiration
Hydrometeorology
Indices

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1175/JCLI-D-17-0775.1

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Vicente-Serrano, S. M., Miralles, D. G., Domínguez-Castro, F., Azorin-Molina, C., El Kenawy, A., Mcvicar, T. R., Tomás-Burguera, M., Beguería, S., Maneta, M., & Peña-Gallardo, M. (2018). Global assessment of the standardized evapotranspiration deficit index (SEDI) for drought analysis and monitoring. Journal of Climate, 31(14), 5371-5393. https://doi.org/10.1175/JCLI-D-17-0775.1

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abstract = "This article developed and implemented a new methodology for calculating the standardized evapotranspiration deficit index (SEDI) globally based on the log-logistic distribution to fit the evaporation deficit (ED), the difference between actual evapotranspiration (ETa) and atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used, a log-logistic distribution most optimally fitted the ED time series. As such, in many regions across the terrestrial globe, the SEDI is insensitive to the AEDmethod used for calculation, with the exception of winter months and boreal regions. The SEDI showed significant correlations (p < 0.05) with the standardized precipitation evapotranspiration index (SPEI) across a wide range of regions, particularly for short ( < 3 month) SPEI time scales. This work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, and it assesses the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.",

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Vicente-Serrano, SM, Miralles, DG, Domínguez-Castro, F, Azorin-Molina, C, El Kenawy, A, Mcvicar, TR, Tomás-Burguera, M, Beguería, S, Maneta, M & Peña-Gallardo, M 2018, 'Global assessment of the standardized evapotranspiration deficit index (SEDI) for drought analysis and monitoring', Journal of Climate, vol. 31, no. 14, pp. 5371-5393. https://doi.org/10.1175/JCLI-D-17-0775.1

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AU - Miralles, Diego G.

AU - Domínguez-Castro, Fernando

AU - Azorin-Molina, Cesar

AU - El Kenawy, Ahmed

AU - Mcvicar, Tim R.

AU - Tomás-Burguera, Miquel

AU - Beguería, Santiago

AU - Maneta, Marco

AU - Peña-Gallardo, Marina

PY - 2018/7/1

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N2 - This article developed and implemented a new methodology for calculating the standardized evapotranspiration deficit index (SEDI) globally based on the log-logistic distribution to fit the evaporation deficit (ED), the difference between actual evapotranspiration (ETa) and atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used, a log-logistic distribution most optimally fitted the ED time series. As such, in many regions across the terrestrial globe, the SEDI is insensitive to the AEDmethod used for calculation, with the exception of winter months and boreal regions. The SEDI showed significant correlations (p < 0.05) with the standardized precipitation evapotranspiration index (SPEI) across a wide range of regions, particularly for short ( < 3 month) SPEI time scales. This work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, and it assesses the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.

AB - This article developed and implemented a new methodology for calculating the standardized evapotranspiration deficit index (SEDI) globally based on the log-logistic distribution to fit the evaporation deficit (ED), the difference between actual evapotranspiration (ETa) and atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used, a log-logistic distribution most optimally fitted the ED time series. As such, in many regions across the terrestrial globe, the SEDI is insensitive to the AEDmethod used for calculation, with the exception of winter months and boreal regions. The SEDI showed significant correlations (p < 0.05) with the standardized precipitation evapotranspiration index (SPEI) across a wide range of regions, particularly for short ( < 3 month) SPEI time scales. This work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, and it assesses the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.

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KW - Hydrometeorology

KW - Indices

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Global assessment of the standardized evapotranspiration deficit index (SEDI) for drought analysis and monitoring

Abstract

Funding

Keywords

UN SDGs

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