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Data-Intensive Seismology: Research Horizons
The seismology community is being offered an unprecedented opportunity to conduct data-driven res...
M Galea, A Rietbrock, A Spinuso, L Trani | Year: 2013
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A Bayesian approach for multi-model downscaling: Seasonal forecasting of regional rainfall and river flows in South America
This study addresses three issues: spatial downscaling, calibration, and combination of seasonal ...
CAS Coelho, DB Stephenson, FJ Doblas-Reyes, M Balmaseda, GJ van Oldenborgh | Status: published | Journal: Meteorological Applications (Royal Met. Society) | Volume: 13 | Year: 2006 | First page: 73 | Last page: 82 | doi: 10.1017/S1350482705002045
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Opportunistic remote sensing of rainfall using microwave links from cellular communication networks
Microwave backhaul links from cellular communication networks provide a valuable
“opportunistic” ...
R Uijlenhoet, A Overeem, H Leijnse | Status: published | Journal: WIREs Water | Volume: 5 | Year: 2018 | First page: 1 | Last page: 15 | doi: 10.1002/wat2.1289
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VN klimaatpanel publiceert rapport over extreem weer
Het Intergovernmental Panel on Climate Change (IPCC) heeft op 18 november het rapport “Report on ...
R van Dorland | Journal: Zenit | Volume: 39 | Year: 2012 | First page: 39
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Data cube and cloud resources as platform for seamless geospatial computation
The data cube paradigm has been successfully applied in several domains of the geosciences. In th...
Giuliano Andrea Pagani and Luca Trani | Journal: Proceedings of the 15th ACM International Conference on Computing Frontiers (CF '18) | Year: 2018 | First page: 293 | Last page: 298 | doi: https://doi.org/10.1145/3203217.3205861
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