Publication: Influence of hydro-meteorological data spatial aggregation on streamflow modelling
Influence of hydro-meteorological data spatial aggregation on streamflow modelling
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Girons Lopez, M., & Seibert, J. (2016). Influence of hydro-meteorological data spatial aggregation on streamflow modelling. Journal of Hydrology, 541, 1212–1220. https://doi.org/10.1016/j.jhydrol.2016.08.026
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Data availability is important for virtually any purpose in hydrology. While some parts of the world continue to be under-monitored, other areas are experiencing an increased availability of high-resolution data. The use of the highest available resolution has always been preferred and many efforts have been made to maximize the information content of data and thus improve its predictive power and reduce the costs of maintenance of hydrometric sensor networks. In the light of ever-increasing data resolution, however, it is important t
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- Girons Lopez, Marc
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Girons Lopez, M., & Seibert, J. (2016). Influence of hydro-meteorological data spatial aggregation on streamflow modelling. Journal of Hydrology, 541, 1212–1220. https://doi.org/10.1016/j.jhydrol.2016.08.026
