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Título

Assessment of multi-scale drought datasets to quantify drought severity and impacts in agriculture: a case study for Slovenia

AutorCeglar, Andrej; Medved-Cvikl, Barbara; Morán-Tejeda, Enrique ; Vicente Serrano, Sergio M. ; Kajfež-Bogataj, Lučka
Palabras claveInteroperability
EuroGEOSS
DMCSEE
European Drought Portal
Drought monitoring
Standardized Precipitation Index
Agricultural drought
Maize yield
Water balance
Fecha de publicación2012
EditorEuropean Commission
CitaciónInternational Journal of Spatial Data Infrastructures Research 7: 464-487 (2012)
ResumenReal-time information on the development of the drought conditions is one of the fundamental requisites for reinforcing the drought mitigation and preparedness. The EuroGEOSS interoperability approach promotes the development of monitoring and early warning systems based on real-time information. Different climatic databases, which are based on publicly available meteorological information, are available on real time by climatic research institutions. Commonly, publicly available information has much lower spatial resolution than the existing available national datasets. The capability of low resolution climatic datasets to quantify drought severity and drought impacts is limited and has therefore been analysed in the framework of the EuroGEOSS project. Initial operating capacity, which was built during the project, provided the framework for the analysis. The Standardized Precipitation Index, obtained from the low-resolution precipitation datasets, has been compared to the national high-resolution datasets in Slovenia. The areas of low spatial agreement between different drought datasets were determined. In addition, various statistical measures were used to compare the drought characteristics, originating from different drought datasets. Furthermore, the capabilities of these datasets to identify the drought impacts in different drought prone systems were analyzed. Even though, low resolution datasets failed to realistically detect the spatial patterns of specific drought episodes, they were able to reproduce the general drought temporal variability, especially at the short time scales. The low resolution dataset also provided reliable outputs in terms of knowing the impacts of drought on agriculture.
Descripción24 páginas, 5 figuras
Versión del editorhttp://dx.doi.org/10.2902/1725-0463.2012.07.art21
URIhttp://hdl.handle.net/10261/81893
DOI10.2902/1725-0463.2012.07.art21
ISSN1725-0463
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