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First 456 results for ”S Khanal”

1. 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

2. A Standardized Atmospheric Measurement Data (SAMD) Archive for distributed cloud and precipitation process-oriented observations in Central Europe

   Multitude of clouds and precipitation observations in Germany is described. Data are available no...

   A Lammert, A Hansen, F Ament, S Crewell, G Dick, V Grützen, H Klein Baltink, V Lehmann, A Macke, B Pospichal, W Schubotz, P Seifert, E Stamnas, B Stevens | Status: published | Journal: BAMS | Year: 2019 | doi: 10.1175/BAMS-D-18-0174.1

   Publication

3. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations: Reactive gases

   The Copernicus Atmosphere Monitoring Service (CAMS) is operationally providing forecast and reana...

   Wagner, A., Bennouna, Y., Blechschmidt, A.-M., Brasseur, G., Chabrillat, S., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Hansen, K. M., Inness, A., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Zerefos, C. | Journal: Elementa: Science of the Anthropocene | Volume: 9 | Year: 2021 | First page: 00171 | doi: 10.1525/elementa.2020.00171

   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