Search results

Verberg filters
Sort by
Types
Publication types
Publication year
t/m
Toon filters

First 1219 results for ” Benjamin P. Kirtman ”

  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. 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

  3. Nitric acid (HN03) in the upper troposphere and lower stratosphere at mid-latitudes: New results from aircraft based mass spectrometic measurements

    J Schneider, F Arnold, V Burger, B Droste-Franke, F Grimm, G Kirchner, M Klemm, T Stilp, KH Wohlfrom, P Siegmund, PFJ van Velthoven | Status: published | Journal: J. Geophys. Res. | Volume: 103 | Year: 1998 | First page: 25.337 | Last page: 25.344

    Publication

  4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

    Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

    Publication

  5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

    Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

    Publication