Search results

First 72 results for ” G Kwiatek”

1. Advancements in decadal climate predictability: the role of non-oceanic drivers

   Progresses in understanding the role of sea-ice, land surface, stratosphere and aerosols in decad...

   A Bellucci, RJ Haarsma, N Bellouin, B Booth, C Cagnazzo, B van den Hurk, N Keenlyside, T Koenigk, F Massonnet, S Materia, M Weiss | Status: published | Journal: Reviews of Geophysics | Year: 2015 | doi: 10.1002/2014RG000473

   Publication

2. Metingen in buitenlucht op het RIVM-terrein in Bilthoven na het Fukushima kernongeval in maart 2011

   De in Nederland gemeten radioactiviteit uit Japan ligt duizenden keren lager dan tijdens Tsjernob...

   RMW Overwater, PJM Kwakman, CJW Twenhofel, GJ Knetsch, MP Scheele, PFJ van Velthoven, P Le Sager, FC Kroonenberg, RCGM Smetsers | Year: 2011

   Publication

3. The benefits of global high resolution for climate simulation process understanding and the enabling of stakeholder decisions at the regional scale

   The time scales of the Paris Climate Agreement indicate urgent action is required on climate poli...

   MJ Roberts, PL Vidale, C Senior, HT Hewitt, C Bates, S Berthou, P Chang, HM Christensen, S Danilov, ME Demory, SM Griffies, RJ Haarsma, T Jung, G Martin, S Minobe | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2018 | doi: 10.1175/BAMS-D-15-00320.1

   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