Global, spatially and temporally explicit estimates of carbon and water fluxes derived from empirical up-scaling eddy covariance measurements would constitute a new and possibly powerful data stream to study the variability of the global terrestrial carbon and water cycle. This paper introduces and validates a machine learning approach dedicated to the upscaling of observations from the current...

The information on transpiration is vital for sustaining fragile ecosystem in arid/semiarid environment, including the Horqin Sandy Land (HSL) located in northeast China. However, such information is scarce in existing literature. The objectives of this study were to: (1) measure sap flow of selected individual stems of two sand-fixing plants, namely Salix gordejevii and Caragana microphylla, i...

Transport and retention of multi-sized suspended granules are common phenomena in fracture media oil, gas geothermal reservoirs. It can lead to severe permeability damage productivity decline, which has a significant impact on the efficient development underground resources. However, granule transport behaviors remain not well understood quantified. The novel stochastic model is proposed for na...

Many super-resolution algorithms have been proposed for upscaling static images, yet upscaling video footages in real-time with descent quality remains a challenging problem. In this work, we started out developing a super-resolution video player based on upscaling from local self-examples[Freedman and Fattal 2010], for the approach is essentially suitable for applications where maintaining tem...

The upscaled models of reservoirs result in coarse representation of flow for simulation gridblocks. This representation discards subgrid heterogeneities and flow complexities which can lead to an inaccurate performance prediction for reservoir processes. To tackle the problem, reconstruction techniques such as multiscale or upscaling–downscaling methods have been developed to recapture the sub...

Scientists and engineers who wish to understand the earth’s subsurface are faced with a daunting challenge. Features of interest range from the microscale (centimeters) to the macroscale (hundreds of kilometers). It is unlikely that computational power limitations will ever allow modeling of this level of detail. Numerical upscaling is one technique intended to reduce this computational burden....

We investigate the temporal scaling properties of mixing in heterogeneous permeability fields with variances ranging from very small (σ lnK = 0.01) to very large (σ lnK = 9). We quantify mixing by the scalar dissipation rate, which we estimate over a large range of temporal scales. For an initial pulse line injection, we find that moderate and strong heterogeneity induce Preprint submitted to E...