"...the growing need for continental-scale land surface models that consider improved, scale-appropriate parameterizations of the water, energy and biogeochemical cycles at resolutions on the order of 10^2 to 10^3m grid resolutions."
"There are many new building blocks available for the research into hyper-resolution modeling: (1) new data sources and measurement techniques for precipitation, topography, vegetation cover, soils, but also soil moisture, evapotranspiration, water storages (rivers, lakes, groundwater storages, soil moisture); (2) new physics - new sets of governing equations, including new approaches to developing closure relations; (3) new approaches to handling known and unknown uncertainties in model structure, variables and numerics, including characterizing subgrid heterogeneity (including new ways to capture their effects) based on new insights into ecohydrology and hydropedology and approaches that utilize the coevolution of climate, soils, vegetation and topography; (4) new approaches that can better include nonlinear feedbacks between various subsystems, and local, regional and global cycles and teleconnections; (5) new regionalization efforts aimed at learning from comparative analysis across climatic, geologic and human-impact gradients, and (6) new data assimilation techniques which can contribute to improvements in models and observations, including uncertainty quantification."
"To ignore the challenge to develop global-scale hyper-resolution land modeling capability by hydrologists, is to accept the role of noninvolvement and marginalization as atmospheric scientists implement their land surface models at hyper-resolution into their climate and weather models.We as hydrologists and hydrochemists need to engage with the climate science community to define what is needed to develop robust hyper-resolution Earth System Models that include appropriate hyper-resolution land-surface (and groundwater) parameterizations."
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