Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements. [PDF]
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Probabilistic SWE reanalysis as a generalization of deterministic SWE reconstruction techniques
Hydrological Processes, 2013AbstractSnow accumulation and melt is highly variable in space and time in complex mountainous environments. Therefore, it is necessary to provide high‐resolution spatially and temporally distributed estimates of sub‐basin snow water equivalent (SWE) to accurately predict the timing and magnitude of snowmelt runoff.
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