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First 1314 results for ” A Te Linde”

1. Improving precipitation forecasts using extreme quantile regression

   Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regressio...

   J Velthoen, J Cai, G Jongbloed, M Schmeits | Status: published | Journal: Extremes | Volume: 22 | Year: 2019 | First page: 599 | Last page: 622 | doi: 10.1007/s10687-019-00355-1

   Publication

2. An efficient probabilistic workflow for estimating induced earthquake parameters in 3D heterogeneous media

   We present an efficient probabilistic workflow for the estimation of source parameters of induced...

   La Ode Marzujriban Masfara, Thomas Cullison, Cornelis Weemstra | Journal: Solid Earth | Volume: 13 | Year: 2022 | First page: 1309 | Last page: 1325 | doi: https://doi.org/10.5194/se-13-1309-2022

   Publication

3. Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior

   The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensio...

   La Ode Marzujriban Masfara, Cornelis Weemstra | Journal: Earth and Space Science | Volume: 11 | Year: 2024 | doi: 10.1029/2023EA003184

   Publication

4. Estimating trends and the current climate mean in a changing climate

   Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

   Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

   Publication

5. Drivers of the 2013/14 winter floods in the UK

   In their section on 'Weather and climate change drivers', Huntingford et al.1 propose various dri...

   GJ van Oldenborgh, DB Stephenson, A Sterl, R Vautard, P Yiou, SS Drijfhout, H von Storch, H van de Dool | Status: published | Journal: Nature Climate Change | Volume: 5 | Year: 2015 | First page: 490 | Last page: 491 | doi: 10.1038/nclimate2612

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