Drought Monitoring in Terms of Evapotranspiration Based on Satellite Data from Meteosat in Areas of Strong Land–Atmosphere Coupling

Julia S. Stoyanova (), Christo G. Georgiev and Plamen N. Neytchev
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Julia S. Stoyanova: National Institute of Meteorology and Hydrolohy, 1784 Sofia, Bulgaria
Christo G. Georgiev: National Institute of Meteorology and Hydrolohy, 1784 Sofia, Bulgaria
Plamen N. Neytchev: National Institute of Meteorology and Hydrolohy, 1784 Sofia, Bulgaria

Land, 2023, vol. 12, issue 1, 1-21

Abstract: This study was focused on a key aspect of drought monitoring that has not been systematically studied in the literature: evaluation of the capacity of evapotranspiration data retrieved using geostationary meteorological satellites for use as a water stress precursor. The work was methodologically based on comparisons between constructed indexes of vegetation water stress (evapotranspiration drought index (ETDI) and evaporative stress ratio (ESR)) derived from the EUMETSAT LSASAF METREF and DMET satellite products and soil moisture availability (SMA) from a SVAT model. Long-term (2011–2021) data for regions with strong land–atmosphere coupling in Southeastern Europe (Bulgaria) were used. Stochastic graphical analysis and Q–Q (quantile–quantile) analyses were performed to compare water stress metrics and SMA. Analyses confirmed the consistency in the behavior of vegetation water-stress indexes and SMA in terms of their means, spatiotemporal variability at monthly and annual levels, and anomalous distributions. The biophysical aspects of the drought evaluation confirmed the complementary and parallel interaction of potential (METREF) and actual (DMET) evapotranspiration (in view of the Bouchet hypothesis) for the studied region. Anomalies in evapotranspiration stress indexes can provide useful early signals of agricultural/ecological drought, and the results confirm the validity of using their satellite-based versions to characterize SMA in the root zone and drought severity.

Keywords: geostationary satellite observations; evapotranspiration-based drought monitoring; EUMETSAT LSASAF products; water stress indexes; SVAT model; soil moisture availability; Southeastern Europe (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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