Search results

First 442 results for ”K Whan”

1. 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

2. 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

3. Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales

   Recent work has shown that (sub-)seasonal variability in tropical Pacific convection, closely lin...

   Chiem van Straaten, Dim Coumou, Kirien Whan, Bart van den Hurk, and Maurice Schmeits | Journal: Weather and Climate Dynamics | Volume: 4 | Year: 2023 | First page: 887 | Last page: 903 | doi: https://doi.org/10.5194/wcd-4-887-2023

   Publication

4. From proof-of-concept to proof-of-value: Approaching third-party data to operational workflows of national meteorological services

   National meteorological services (NMS) are limited by practical and financial boundaries in the n...

   Irene Garcia-Marti Aart Overeem Jan Willem Noteboom Lotte de Vos Marijn de Haij Kirien Whan | Journal: International Journal of Climatology | Year: 2022 | First page: 1 | Last page: 18 | doi: 10.1002/joc.7757

   Publication

5. Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World

   Statistical postprocessing techniques are nowadays key components of the forecasting suites in ma...

   Vannitsem, S., Bremnes, J. B., Demaeyer, J., Evans, G. R., Flowerdew, J., Hemri, S., Lerch, S., Roberts, N., Theis, S., Atencia, A., Ben Bouallègue, Z., Bhend, J., Dabernig, M., De Cruz, L., Hieta, L., Mestre, O., Moret, L., Plenković, I. O., Schmeits, M., Taillardat, M., Van den Bergh, J., Van Schaeybroeck, B., Whan, K., and Ylhaisi, J. | Journal: Bulletin of the American Meteorological Society | Volume: 102 | Year: 2021 | First page: E681 | Last page: E699 | doi: 10.1175/BAMS-D-19-0308.1

   Publication