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First 67 results for ” Tas”

1. The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6

   The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible...

   R Döscher, M Acosta, A Alessandri, P Anthoni, A Arneth, T Arsouze, T Bergman, R Bernadello, S Boussetta, L-P Caron, G Carver, M Castrillo, F Catalano, I Cvijanovic, P Davini, E Dekker, FJ Doblas-Reyes, D Docquier, P Echevarria, U Fladrich, R Fuentes-Franco, M, Gröger, J v. Hardenberg, J Hieronymus, MP Karami, J-P Keskinen, T Koenigk, R Makkonen, F Massonnet, M Ménégoz, PA Miller, E, Moreno-Chamarro, L Nieradzik, T van Noije, P Nolan, D O’Donnell, P Ollinaho, G van den Oord, P Ortega, OT Prims, A Ramos, T Reerink, C Rousset, Y Ruprich-Robert, P Le Sager, T Schmith, R Schrödner, F Serva, V Sicardi, M Sloth Madsen, B Smith, T Tian, E Tourigny, P Uotila, M Vancoppenolle, S Wang, D Wårlind, U Willén, K Wyser, S Yang, X Yepes-Arbós, Q Zhang | Status: submitted | Journal: Geosci. Model Dev. | Volume: 15 | Year: 2022 | First page: 2973 | Last page: 3020 | doi: 10.5194/gmd-15-2973-2022

   Publication

2. 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

   Publication

3. Self-supervision, remote sensing and abstraction: representation learning across 3 million locations

   Self-supervision based deep learning classification approaches have received considerable attenti...

   Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson | Journal: Digital Image Computing: Techniques and Applications (DICTA) | Year: 2022 | doi: https://doi.org/10.1109/DICTA52665.2021.9647061

   Publication

4. S-ProvFlow. Storing and Exploring Lineage Data as a Service

   We present a set of configurable Web service and interactive tools, s-ProvFlow, for managing and ...

   Alessandro Spinuso, Malcolm Atkinson, Federica Magnoni | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00128

   Publication

5. Determination of the mixing layer height from ceilometer backscatter profiles

   The mixing layer height (MLH) is a key parameter in studies of many atmospheric boundary layer pr...

   MJ de Haij, H Klein Baltink, WMF Wauben | Journal: KNMI Kenniscentrum | Year: 2010

   Publication