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Autor:
Keller, Kai Rasmus
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
TDR. Tesis Doctorales en Red
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
TDR. Tesis Doctorales en Red
instname
With the increasing power of supercomputers, ever more detailed models of physical systems can be simulated, and ever larger problem sizes can be considered for any kind of numerical system. During the last twenty years the performance of the fastest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6eae3f9864d394ac3bafd4c141194ad9
https://hdl.handle.net/2117/37024010803/674763
https://hdl.handle.net/2117/37024010803/674763
Publikováno v:
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Ensemble data assimilation is a powerful tool for increasing the accuracy of climatological states. It is based on combining observations with the results from numerical model simulations. The method comprises two steps, (1) the propagation, where th