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First 182 results for ” H Nissan”

1. Global predictability of temperature extremes
   Coughlan de Perez, Aalst, Bischiniotis, Mason, Nissan, Pappenberger, Stephens, Zsoter, Hurk | Status: accepted | Journal: Environmental Research Letters | Year: 2018 | doi: 10.1088/1748-9326/aab94a

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2. Should seasonal forecasts be used for flood preparedness?

   Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

   E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

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3. Active Provenance for Data-Intensive Workflows: Engaging Users and Developers

   We present a practical approach for provenance capturing in Data-Intensive workflow systems. It p...

   Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.0007

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4. Scoping the potential usefulness of seasonal climate forecasts for solar power management
   M De Felice, M Soares, A Alessandri, A Troccoli | Status: published | Journal: Renewable and Sustainable Energy Reviews | Volume: 142 | Year: 2019 | First page: 215 | Last page: 223 | doi: https://doi.org/10.1016/j.renene.2019.03.134

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5. 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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