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First 714 results for ” T Nieminen”

1. Observations and numerical simulations of the diurnal cycle of the EUROCS stratocumulus case
   PG Duynkerke, SR de Roode, MC van Zanten, J Calvo, S Cheinet, A Chlond, H Grenier, PJ Jonker, M Koehler, G Lenderink, D Lewellen, CL Lappen, AP Lock, CH Moeng, and five other collaborators | Status: published | Journal: Quart. J. Royal Meteorol. Soc. | Volume: 130 | Year: 2004 | First page: 3269 | Last page: 3296 | doi: 10.1256/qj.03.139

   Publication

2. Monthly, seasonal and annual temperature reconstructions for Central Europe derived from documentary evidence and instrumental records since AD 1500

   Monthly temperature series for Central Europe back to AD 1500 are developed from documentary inde...

   P Dobrovolny, A Moberg, R Brazdil, C Pfister, R Glaser, R Wilson, A van Engelen, D Limanowka, A Kiss, M Halickova, J Mackova, D Riemann, J Luterbacher, R Bohm | Status: accepted | Journal: Climatic Change | Year: 2009 | doi: DOI 10.1007/s10584-009-9724-x

   Publication

3. The variability of European floods since AD1500
   R Glaser, D Riemann, J Schönbein, M Barriendos, R Brazdil, C Bertolin, D Camuffo, M Deutsch, P Dobrovolný, A van Engelen | Status: published | Journal: Climatic Change | Year: 2010 | doi: 10.1007/s10584-010-9816-7

   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

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