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Novel methods to spatially downscale water demands
To understand water scarcity, it is vital to have reliable water demand data at suitable spatial and temporal resolutions. While more hydrological models are including human influences, and at increasingly fine resolutions, this improvement in process representation is not matched by improved data for driving or validating the models. Water demand dataHelen Baron +4 more
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Regression-based downscaling of spatial variability for hydrologic applications
Journal of Hydrology, 2005There is an obvious imbalance between, on the one hand, the importance of spatio-temporal variability of precipitation for river flows and, on the other, their representation in current empirical downscaling models that are applied for climate scenarios. The imperfect variability results from incomplete forcing of the large scales. The last IPCC report
Bürger, G., Chen, Y.
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The experience turn of the Danish periphery: The downscaling of new spatial strategies
European Urban and Regional Studies, 2012This article discusses the new wave of spatial development strategies in small, peripheral municipalities, based on the notion of the experience economy as a local response to the challenges of globalization and industrial restructuring. The notion of the experience economy, originally derived from strategic management, is more encompassing than the ...
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Spatial extrapolation of downscaled geochemical data using conditional GAN
Computers & Geosciences, 2023Xingnian Jiang +5 more
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Coherent predictand areas for spatially coherent precipitation downscaling
2013Statistical downscaling aims at finding relationships between local precipitation (predictand) and large-scale predictor fields, in various contexts, from medium-term forecasting to climate change impact studies. For distributed hydrological modelling the downscaled precipitation spatial fields have furthermore to be coherent over possibly large river ...
Radanovics, S. +4 more
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A review of spatial downscaling of satellite remotely sensed soil moisture
Reviews of Geophysics, 2017Alexander Loew +2 more
exaly
Spatial scenario creation based on downscale methods
2020Daisuke Murakami, Yoshiki Yamagata
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Comparison of regression methods for spatial downscaling of soil organic carbon stocks maps
Computers and Electronics in Agriculture, 2017Pierre Roudier +2 more
exaly