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dispel4py: An agile framework for data-intensive escience
We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...
Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40
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Mapping Solid Earth Data and Research Infrastructures to CERIF
EPOS is a Research Infrastructure plan that is undertaking the challenge of integrating data from...
D Bailo, D Ulbricht, M L Nayembil, L Trani, A Spinuso, K G Jeffery | Conference: 13th International Conference on Current Research Information Systems, CRIS2016, Communicating and Measuring Research Responsibly: Profiling, Metrics, | Organisation: euroCRIS | Place: St. Andrews | Year: 2016 | doi: https://doi.org/10.1016/j.procs.2017.03.043
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Quality assessment of high resolution wind and temperature observation from ModeS
Wind, temperature and humidity observations from radiosonde and aircraft are the main sources of ...
Siebren de Haan | Year: 2009 | Pages: 31
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Global hotspots in soil moisture-based drought trends
Decreasing soil moisture and increasing frequency and intensity of soil drought episodes are amon...
Jan Řehoř, , Miroslav Trnka, . Rudolf Brazdil, Milan Fischer, Jan Balek, Gerard van der Schrier and Song Feng | Journal: Environmental Research Letters | Volume: 19 | Year: 2024 | First page: 014021 | doi: 10.1088/1748-9326/ad0f01
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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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