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First 1086 results for ” Martin Drews”

  1. Advancing Data Quality Assurance with Machine Learning: A Case Study on Wind Vane Stalling Detection

    High-quality observational datasets are essential for climate research and models, but validating...

    V. S. de Feiter, J. M. I. Strickland, I. Garcia-Marti | Journal: Atmosphere, 16(2) | Volume: 129 | Year: 2025 | First page: 1 | Last page: 23 | doi: https://doi.org/10.3390/atmos16020129

    Publication

  2. High variability of climate and surface mass balance induced by Antarctic ice rises

    Ice rises play key roles in buttressing the neighbouring ice shelves and potentially provide pala...

    JTM Lenaerts, J Brown, MR van den Broeke, K Matsuoka, R Drews, D Callens, M Philippe, IV Gorodetskaya, E van Meijgaard, CH Reijmer, F Pattyn, NPM van Lipzig | Status: published | Journal: J. Glaciology | Volume: 60 | Year: 2014 | First page: 1101 | Last page: 1110 | doi: 10.3189/2014JoG14J040

    Publication

  3. Meltwater produced by wind–albedo interaction stored in an East Antarctic ice shelf

    Surface melt and subsequent firn air depletion can ultimately lead to disintegration of Antar...

    JTM Lenaerts, S Lhermitte, R Drews, SRM Ligtenberg, S Berger, V Helm, CJJM Smeets, MR van den Broeke, WJ van de Berg, E van Meijgaard, M Eijkelboom, O Eisen, F Pattyn | Status: published | Journal: Nature Climate Change | Year: 2016 | doi: 10.1038/NCLIMATE3180

    Publication

  4. Historical Maritime Wind Scales until 1947

    The strongly increasing interest for historical climate data (HISKLIM, CLIWOC, RECLAIM, ACRES) ov...

    H Wallbrink, FB Koek | Year: 2009

    Publication

  5. A cyclic Markov chain study of ENSO predictability

    We use yearly-cyclic Markov chains in order to analyse the predictability characteristics of ENSO...

    RA Pasmanter, A Timmermann | Conference: Chaos in Geophysical Flows, ISSAOS 2001 | Organisation: Univ. dell\'Aquila | Place: L\'Aquila, Italy | First page: 181 | Last page: 207

    Publication