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First 157 results for ” E Rignot”

1. Recent Antarctic ice mass loss from radar interferometry and regional climate modelling
   E Rignot, JL Bamber, MR van den Broeke, C Davis, Y Li, WJ van de Berg, E van Meijgaard | Status: published | Journal: Nature Geoscience | Volume: 1 | Year: 2008 | First page: 106 | Last page: 110 | doi: doi:10.1038/ngeo102

   Publication

2. Partitioning Recent Greenland Mass Loss

   Mass budget calculations, validated with satellite gravity observations [from the Gravity Recover...

   M van den Broeke, J Bamber, J Ettema, E Rignot, E Schrama, WJ van den Berg, E van Meijgaard, I Velicogna, B Wouters | Status: published | Journal: Science | Volume: 326 | Year: 2009 | First page: 984 | Last page: 986 | doi: 10.1126/science.1178176

   Publication

3. Barrier layers and tropical Atlantic SST biases in coupled GCMs.
   WP Breugem, P Chang, CJ Jang, J Mignot, W Hazeleger | Status: published | Journal: Tellus | Volume: 5 | Year: 2008 | doi: doi:/10.1111/j.1600-0870.2008.00343.x

   Publication

4. Improved representation of East Antarctic surface mass balance in a regional atmospheric climate model

   This study evaluates the impact of a recent upgrade in the physics package of the regional atmosp...

   JM van Wessem, CH Reijmer, M Morlighem, J Mouginot, E Rignot, B Medley, I Joughin, B Wouters, MA Depoorter, JL Bamber, JTM Lenaerts, WJ van de Berg, MR van den Broeke, E van Meijgaard | Status: published | Journal: J. Glaciology | Volume: 60 | Year: 2014 | First page: 761 | Last page: 770 | doi: 10.3189/2014JoG14J051

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5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

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