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First 3491 results for ” U Andrae”

1. Ozone mixing ratios inside tropical deep convective clouds from OMI satellite measurements

   We have developed a new technique for estimating ozone mixing ratio inside deep convective clouds...

   JR Ziemke, J Joiner, S Chandra, , PK Bhartia, A Vasilkov, DP Haffner, K Yang, MR Schoeberl, L Froidevaux, PF Levelt | Status: published | Journal: Atm. Chem. Phys. | Year: 2009 | First page: 573 | Last page: 583 | doi: 10.5194/acp-9-573-2009

   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. Inter-comparison of different NOX emission inventories and associated variation in simulated surface ozone in Indian region

   n this work, we compare for the first time different anthropogenic NOX emission inventories and e...

   C Jena, SD Ghude, G Beig, DM Chate, R Kumar, G< Pfister, DM Lal, DE Surendran, S Fadnavis, RJ van der A | Status: published | Journal: Atmos. Environm. | Year: 2015 | First page: 61 | Last page: 73 | doi: 10.1016/j.atmosenv.2015.06.057

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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

   Publication