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Published in 2017 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2016.08.010
Abstract: Data-sparse representation techniques are emerging on computing approximate solutions for large scale problems involving matrices with low numerical rank. This representation provides both low memory requirements and cheap computational costs.In this work we consider the…
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Keywords:
data sparse;
sparse;
representation;
sparse approximation ... See more keywords
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Published in 2024 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ad5b07
Abstract: Coastal lowlands and river deltas worldwide are increasingly exposed to coastal, pluvial and fluvial flooding as well as relative sea-level rise (RSLR). However, information about both single and multiple flood-type hazards, their potential impact and…
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Keywords:
coastal lowlands;
ayeyarwady delta;
sparse coastal;
data sparse ... See more keywords
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Published in 2019 at "Journal of Climate"
DOI: 10.1175/jcli-d-18-0705.1
Abstract: More than 6000 independent radiosonde observations from three major Tibetan Plateau experiments during the warm seasons (May–August) of 1998, 2008, and 2015–16 are used to assess the quality of four leading modern atmospheric reanalysis products…
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Keywords:
quality;
data sparse;
tibetan plateau;
region ... See more keywords