Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors
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DOI: 10.2166/wcc.2021.062
Abstract: This study explores the potential of the Deep Learning (DL) approach to develop a model for basin-scale drought assessment using information from a set of primary hydrometeorological precursors, namely air temperature, surface pressure, wind speed,… read more here.
Keywords: hydrometeorological precursors; potential deep; assessment; drought assessment ... See more keywords