Our study develops and tests a geostatistical technique for locally enhancing macro-scale rainfall–runoff simulations on the basis of observed streamflow data that were not used in calibration. We consider Tyrol (Austria and Italy) and two different types of daily streamflow data: macro-scale rainfall–runoff simulations at 11 prediction nodes and observations at 46 gauged catchments. The technique consists of three main steps: (1) period-of-record flow–duration curves (FDCs) are geostatistically predicted at target ungauged basins, for which macro-scale model runs are available; (2) residuals between geostatistically predicted FDCs and FDCs constructed from simulated streamflow series are computed; (3) the relationship between duration and residuals is used for enhancing simulated time series at target basins. We apply the technique in cross-validation to 11 gauged catchments, for which simulated and observed streamflow series are available over the period 1980–2010. Our results show that (1) the procedure can significantly enhance macro-scale simulations (regional LNSE increases from nearly zero to  ≈ 0.7) and (2) improvements are significant for low gauging network densities (i.e. 1 gauge per 2000km2).

Alessio Pugliese, S.P. (2018). A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations. HYDROLOGY AND EARTH SYSTEM SCIENCES, 22(9), 4633-4648 [10.5194/hess-22-4633-2018].

A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations

Alessio Pugliese;Simone Persiano;Stefano Bagli;Alberto Montanari;Attilio Castellarin
2018

Abstract

Our study develops and tests a geostatistical technique for locally enhancing macro-scale rainfall–runoff simulations on the basis of observed streamflow data that were not used in calibration. We consider Tyrol (Austria and Italy) and two different types of daily streamflow data: macro-scale rainfall–runoff simulations at 11 prediction nodes and observations at 46 gauged catchments. The technique consists of three main steps: (1) period-of-record flow–duration curves (FDCs) are geostatistically predicted at target ungauged basins, for which macro-scale model runs are available; (2) residuals between geostatistically predicted FDCs and FDCs constructed from simulated streamflow series are computed; (3) the relationship between duration and residuals is used for enhancing simulated time series at target basins. We apply the technique in cross-validation to 11 gauged catchments, for which simulated and observed streamflow series are available over the period 1980–2010. Our results show that (1) the procedure can significantly enhance macro-scale simulations (regional LNSE increases from nearly zero to  ≈ 0.7) and (2) improvements are significant for low gauging network densities (i.e. 1 gauge per 2000km2).
2018
Alessio Pugliese, S.P. (2018). A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations. HYDROLOGY AND EARTH SYSTEM SCIENCES, 22(9), 4633-4648 [10.5194/hess-22-4633-2018].
Alessio Pugliese, Simone Persiano, Stefano Bagli, Paolo Mazzoli, Juraj Parajka, Berit Arheimer, René Capell, Alberto Montanari, Günter Blöschl, Attili...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/645402
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