Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data

Gaona, Jaime; Quintana-Seguí, Pere; Escorihuela, María José; Boone, Aaron; Llasat, María Carmen

doi:https://doi.org/10.5194/nhess-22-3461-2022

Articles | Volume 22, issue 10

https://doi.org/10.5194/nhess-22-3461-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-22-3461-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 10

Research article

|

21 Oct 2022

Research article |

| 21 Oct 2022

Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data

Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat

Supplement

https://doi.org/10.5194/nhess-22-3461-2022-supplement

Data sets

MOD16A2 v006 USGS https://lpdaac.usgs.gov/products/mod16a2v006/

SAFRAN analysis over Spain P. Quintana Segui https://doi.org/10.14768/MISTRALS-HYMEX.1388

SURFEX CNRM https://www.umr-cnrm.fr/surfex/spip.php?rubrique

MODIS global terrestrial evapotranspiration (ET) product (MOD16A2/A3 and year-end gap-filled MOD16A2GF/A3GF) NASA Earth Observing System MODIS Land Algorithm (for collection 6) S. W. Running, Q. Mu, M. Zhao, and A. Moreno https://doi.org/10.5067/MODIS/MOD16A2.061

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Short summary

Droughts represent a particularly complex natural hazard and require explorations of their...