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First 1107 results for ” E Martinez”

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

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2. Propagation of uncertainty from observing systems and NWP into hydrological models: COST-731 Working Group 2

   The COST-731 action is focused on uncertainty propagation in hydro-meteorological forecasting cha...

   M Zappa, K Beven, M Bruen, A Cofino, K Kok, E Martin, P Nurmi, B Orfila, E Roulin, A Seed, K Schroter, J Szturc, B Vehvilainen, U Germann, A Rossa | Status: published | Journal: Atmos. Sci. Lett. | Volume: 11 | Year: 2010 | First page: 83 | Last page: 91 | doi: 10.1002/asl.248

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3. From model intercomparison towards benchmark UV spectra for six real atmospheric cases
   M van Weele, TJ Martin, M Blumthaler, C Brogniez, PN den Outer, O Engelsen, J Lenoble, B Mayer, G Pfister, A Ruggaber, B Walravens, P Weihs, BG Gardiner, D Gillotay, D Haferl | Status: published | Journal: J. Geophys. Res. | Volume: 105 | Year: 2000 | First page: 4915 | Last page: 4926 | doi: 10.1029/1999JD901103

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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

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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

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