EXPLORING THE EFFECTS OF UNCERTAINTY IN HYDROLOGIC MODELING AND RECONCILING SPATIOTEMPORAL DATA GAPS AT THE CONTINENTAL SCALE
Spatiotemporally continuous estimates of the hydrologic cycle are often generated through hydrologic modeling, reanalysis, or remote sensing methods, and commonly applied as a supplement to, or a substitute for, in-situ measurements when observational data are sparse or unavailable. Increased access over the past decade to distributed cloud systems and high-performance clusters have greatly increased the computational processing power available to the hydrologic community. In turn, the number of these modeled products estimating various components of the hydrologic cycle over continental and ...
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