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First 2054 results for ” Mark ter; Geffen”

  1. Cyclic Markov chains with an application to ENSO predictability

    We develop the theory of cyclic Markov chains and apply it to the El Nino-Southern Oscillation (E...

    RA Pasmanter, A Timmermann | Year: 2001

    Publication

  2. Stochastic Convection Parameterization with Markov Chains in an Intermediate-Complexity GCM

    Conditional Markov chain (CMC) models have proven to be promising building blocks for stochastic ...

    J Dorrestijn, DT Crommelin, AP Siebesma, HJJ Jonker, F Selten | Status: published | Journal: J. Atmos. Sci. | Volume: 73 | Year: 2016 | First page: 1367 | Last page: 1382 | doi: 10.1175/JAS-D-15-0244.1

    Publication

  3. CLIWOC multilingual meteorological dictionary - An English-Spanish-Dutch-French dictionary of wind force terms used by mariners from 1750-1850

    This dictionary is the first attempt to express the wealth of archaic logbook wind force terms in...

    Günther Können, Frits Koek | Year: 2003 | Pages: 50

    Publication

  4. Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project

    On board the Copernicus Sentinel-5 Precursor (S5P) platform, the TROPOspheric Monitoring Instrume...

    I De Smedt, N Theys, H Yu, T Danckaert, C Lerot, S Compernolle, M Van Roozendael1, A Richter, A Hilboll, E Peters, M Pedergnana, D Loyola, S Beirle, T Wagner, HJ Eskes, JHG van Geffen, KF Boersma, JP Veefkind | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 2395 | Last page: 2426 | doi: 10.5194/amt-11-2395-2018

    Publication

  5. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble

    The Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) instrument, launched in October 2017...

    John Douros, Henk Eskes, Jos van Geffen, K. Folkert Boersma, Steven Compernolle, Gaia Pinardi, Anne-Marlene Blechschmidt, Vincent-Henri Peuch, Augustin Colette, and Pepijn Veefkind | Journal: GMD | Volume: Volume 16, Issue 2 | Year: 2023 | doi: https://doi.org/10.5194/gmd-16-509-2023

    Publication