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First 911 results for ” TI Marjoribanks”

1. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

   Large-ensemble climate model simulations can provide deeper understanding of the characteristics ...

   T Kelder, N Wanders, K van der Wiel, TI Marjoribanks, LJ Slater, RI Wilby, C Prudhomme | Journal: Environmental Research Letters | Volume: 17 | Year: 2022 | First page: 044052 | doi: 10.1088/1748-9326/ac5cf4

   Publication

2. 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

3. 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

4. Hoe extreem was de droogte van 2018?

   In H2O Augustus 2019 Te downloaden/bekijken via: https://www.h2owaternetwerk.nl/vakartikele...

   Nienke Kramer, Marjolein Mens, Jules Beersma, Neeltje Kielen | Year: 2019

   Publication

5. Validatie van OMI Aerosol waarnemingen met GLOBE Aerosol waarnemingen door scholieren in 2007

   Het GLOBE-aerosol project loopt sinds 2000 in de VS en sinds 2002 op het KNMI. In het kader van d...

   Joris de Vroom | Year: 2008 | Pages: 15

   Publication