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First 798 results for ” H Fritsch”

1. Modelling the response of glaciers to climate warming

   Dynamic ice-flow models for 12 glaciers and ice caps have been forced with various climate change...

   J Oerlemans, B Anderson, A Hubbard, P Huybrechts, T Jóhannesson, WH Knap, M Schmeits, AP Stroeven, RSW Van de Wal, J Wallinga, Z Zuo | Status: published | Journal: Clim. Dyn. | Volume: 14 | Year: 1998 | First page: 267 | Last page: 274 | doi: 10.1007/s003820050222

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2. Trace Gas Measurements Along the Trans-Siberian Railroad and River Ob, the Troica Expedition

   The chemical composition of the surface boundary layer over the Eurasian continent is still an ar...

   EA Oberlander, CAM Brenninkmeijer, PJ Crutzen, NF Elansky, GS Golitsyn, IG Granberg, DH Scharffe, R Hofmann, IB Belikov, HG Paretzke, PJF van Velthoven | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4206 | doi: 10.1029/2001JD000953

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3. 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

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4. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions

   Accurate forecasts of solar irradiance are required for the large-scale integration of solar phot...

   Frank P.M. Kreuwel, Wouter Knap, Maurice Schmeits, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden | Journal: Solar Energy | Volume: 258 | Year: 2023 | First page: 57 | Last page: 71 | doi: https://doi.org/10.1016/j.solener.2023.04.050

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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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