Dominant hydrological process identification for ungauged basins: Bayesian approach

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    W[2016AGUFM.H11A1282P]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (3)"]
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ADS bibcode
2016AGUFM.H11A1282P
year
2016
Listed Authors
Prieto, C.
Le Vine, N.
Vitolo, C.
Addor, N.
Medina, R.
Listed Institutions
Department of Civil and Environmental Engineering, Imperial College London, London, SW7, United Kingdom University of Cantabria, Environmental Hydraulics Institute "IH Cantabria", Santander, Spain
Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom; Forecast Department, European Centre for Medium-range Weather Forecasts (ECMWF), Shinfield Park, Reading, United Kingdom
Hydrometeorological Applications Program, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
University of Cantabria, Environmental Hydraulics Institute "IH Cantabria", Santander, Spain

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