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First 735 results for ”A Stepek”

  1. Significant atmospheric nonlinearities in the ENSO cycle

    The nonlinearities that cause El Nino events to deviate more from the mean state than La Nina ev...

    SY Philip, GJ van Oldenborgh | Status: published | Journal: J. Climate | Volume: 22 | Year: 2009 | First page: 4014 | Last page: 4028 | doi: 10.1175/2009JCLI2716.1

    Publication

  2. Earth observation Water Cycle Multi-Mission Observation Strategy (WACMOS)

    Observing and monitoring the different components of the global water cycle and their dynamics ar...

    Z Su, RA Roebeling, P Stammes, P Wang, E Wolters, et. al | Journal: Hydrol. Earth Syst. Sci. Discuss., | Volume: 7 | Year: 2011 | First page: 7899 | Last page: 7956 | doi: doi:10.5194/hessd-7-7899-2010

    Publication

  3. Measuring Low-Altitude Winds with a Hot-Air Balloon and Their Validation with Cabauw Tower Observations

    A field experiment with a hot-air balloon was conducted in the vicinity of the meteorological obs...

    EIF de Bruijn, FC Bosveld, S de Haan, BG Heusinkveld | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 37 | Year: 2020 | First page: 263 | Last page: 277 | doi: https://doi.org/10.1175/JTECH-D-19-0043.1

    Publication

  4. Extracting low signal-to-noise ratio events with the Hough transform from sparse array data

    Low-frequency acoustic, i.e., infrasound, waves are measured by sparse arrays of microbarometers....

    G Averbuch, JD Assink, PSM Smets, LG Evers | Status: published | Journal: Geophysics | Year: 2018 | doi: 10.1190/GEO2017-0490.1

    Publication

  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