Zobrazeno 1 - 10
of 132
pro vyhledávání: '"S. Vannitsem"'
Publikováno v:
Earth System Dynamics, Vol 15, Pp 893-912 (2024)
This study delves into the predictability of atmospheric blocking, zonal, and transition patterns utilizing a simplified coupled model. This model, implemented in Python, emulates midlatitude atmospheric dynamics with a two-layer quasi-geostrophic ch
Externí odkaz:
https://doaj.org/article/4d5ce5a0131f4110a2c0d94aeb62af87
Publikováno v:
Nonlinear Processes in Geophysics, Vol 31, Pp 115-136 (2024)
Correlation does not necessarily imply causation, and this is why causal methods have been developed to try to disentangle true causal links from spurious relationships. In our study, we use two causal methods, namely, the Liang–Kleeman information
Externí odkaz:
https://doaj.org/article/ef08da2c71234ec494ac867f1c6fa35a
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3169-3189 (2023)
The exceptional flood of July 2021 in central Europe impacted Belgium severely. As rainfall was the triggering factor of this event, this study aims to characterize rainfall amounts in Belgium from 13 to 16 July 2021 based on two types of observation
Externí odkaz:
https://doaj.org/article/c4dc58263f7c44898e7afe81a1f09bec
Autor:
J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallègue, J. Chen, M. Dabernig, G. Evans, J. Faganeli Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, S. Vannitsem
Publikováno v:
Earth System Science Data, Vol 15, Pp 2635-2653 (2023)
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://doaj.org/article/144bb11863294241bac719d5cb6e5518
Publikováno v:
Earth System Dynamics, Vol 14, Pp 577-591 (2023)
Exchanges of mass, momentum and energy between the ocean and atmosphere are of large importance in regulating the climate system. Here, we apply for the first time a relatively novel approach, the rate of information transfer, to quantify interaction
Externí odkaz:
https://doaj.org/article/565d0fb75d3042f68c32d8e8ffd5e128
Autor:
S. Vannitsem
Publikováno v:
Nonlinear Processes in Geophysics, Vol 30, Pp 1-12 (2023)
The impact of climate change on weather pattern dynamics over the North Atlantic is explored through the lens of the information theory of forced dissipative dynamical systems. The predictability problem is first tackled by investigating the evolut
Externí odkaz:
https://doaj.org/article/3ddb5a2cb049404b8d674304b878781e
Publikováno v:
Earth System Science Data, Vol 14, Pp 1901-1916 (2022)
We explore a methodology to statistically downscale snowfall – the primary driver of surface mass balance in Antarctica – from an ensemble of historical (1850–present day) simulations performed with an earth system model over the coastal region
Externí odkaz:
https://doaj.org/article/e0ea05ad1da04fc0b97a4ad08de88843
Publikováno v:
Earth System Dynamics, Vol 12, Pp 837-855 (2021)
Atmosphere and ocean dynamics display many complex features and are characterized by a wide variety of processes and couplings across different timescales. Here we demonstrate the application of multivariate empirical mode decomposition (MEMD) to inv
Externí odkaz:
https://doaj.org/article/08c2257313784076a51f1338e3867068
Autor:
J. Demaeyer, S. Vannitsem
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 307-327 (2020)
For most statistical postprocessing schemes used to correct weather forecasts, changes to the forecast model induce a considerable reforecasting effort. We present a new approach based on response theory to cope with slight model changes. In this fra
Externí odkaz:
https://doaj.org/article/b71f116a0cb3427eb0248b88d543713f
Publikováno v:
Nonlinear Processes in Geophysics, Vol 27, Pp 187-207 (2020)
Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically mode
Externí odkaz:
https://doaj.org/article/f1335a6efa7246758aa212d48beea7f2