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An automatic tool for reconstructing monthly time-series of hydro-climatic variables at ungauged basins
Affiliation:1. Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Università degli Studi di Palermo, Viale delle Scienze, Edificio 8, 90128, Palermo, Italy;2. Dipartimento di Ingegneria Civile, Ambientale e Architettura, Università degli Studi di Cagliari, Viale Marengo, 2, 09123, Cagliari, Italy;1. Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, Italy;2. Institute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, Bulgaria;3. Faculty of Biology, Sofia University, Bulgaria;4. Department of Food Quality and Nutrition, Volatile Compound Facility, Research and Innovation Centre, Fondazione Edmund Mach, Italy;5. Department of Sustainable Agro-ecosystems and Bio-resources, Research and Innovation Centre, Fondazione Edmund Mach, Italy;6. Institute of Ecology, University of Innsbruck, Austria;7. The National Research Council of Italy (CNR), Department of Biology, Agriculture and Food Sciences, Rome, Italy;1. Department of Biology, Faculty of Science, University of Guilan, P.O. Box, 41335-1914 Rasht, Iran;2. Department of Plant Sciences, Norwegian University of Life Sciences, P.O. Box: 5003, 1432 Ås, Norway;1. National Institute of Biological Resources, Incheon 404-708, Republic of Korea;2. Department of Biological Sciences, Daegu University, Gyeongsan 712-714, Republic of Korea;1. Institute of Botany, Jagiellonian University, Gronostajowa 9 Street, 30-387 Cracow, Poland;2. W. Szafer Institute of Botany, Polish Academy of Sciences, 46 Lubicz Street, 31-512 Cracow, Poland;3. Department of Biology, University of Tirana, Bulevardi ZOG I, Tirana, Albania;4. Botanical Institute, Cologne Biocenter, University of Cologne, Zülpicherstr. 47b, 50674 Cologne, Germany;1. State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;2. Beiluhe Observation Station of Frozen Soil Environment and Engineering, Cold and Arid Region Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Integrative information models for filling/reconstructing hydro-climatic time-series are required for a variety of practical applications. A GIS-based model for a rapid and reliable assessment of monthly time-series of several key hydro-climatic variables at the basin scale, is here developed as plug-in and applied to the entire region of Sicily (Italy). The plug-in, once the desired basin outlet section and time-window are selected, uses appropriate spatial techniques and algorithms to identify its drainage area and estimate the corresponding mean areal rainfall and temperatures time-series. A recent regional regressive rainfall-runoff model is successively applied for the assessment of the runoff time-series. Finally, a consolidated temperature-based method is applied to estimate monthly potential evapotranspiration time-series, while, actual evapotranspiration and soil moisture storage time-series are derived through a classical water balance model. The tool, supported by a preliminarily developed database, includes automatic procedures for data retrieving and processing and a user friendly interface.
Keywords:GIS  Monthly time-series  Rainfall-runoff model  Thornthwaite method  Water balance model  MODIS
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