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Akademický článek

Dynamical reconstruction of the upper-ocean state in the central Arctic during the winter period of the MOSAiC expedition

Autor: I. Kuznetsov, B. Rabe, A. Androsov, Y.-C. Fang, M. Hoppmann, A. Quintanilla-Zurita, S. Harig, S. Tippenhauer, K. Schulz, V. Mohrholz, I. Fer, V. Fofonova, M. Janout

Publikováno v: Ocean Science, Vol 20, Pp 759-777 (2024)

This paper presents a methodological tool for dynamic reconstruction of the state of the ocean, based, as an example, on observations from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) experiment. The data used i

Externí odkaz: https://doaj.org/article/c572f49bd0664514a43cbef10763ac14

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Akademický článek

Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima and Callao

Autor: A. Androsov, S. Harig, N. Zamora, K. Knauer, N. Rakowsky

Publikováno v: Natural Hazards and Earth System Sciences, Vol 24, Pp 1635-1656 (2024)

This investigation addresses the tsunami inundation in Lima and Callao caused by the massive 1746 earthquake (Mw 9.0) along the Peruvian coast. Numerical modeling of the tsunami inundation processes in the nearshore includes strong nonlinear numerica

Externí odkaz: https://doaj.org/article/3ffa382b6274447dae5cd13da3e02a24

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Akademický článek

Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru

Autor: C. Geiß, J. Maier, E. So, E. Schoepfer, S. Harig, J. C. Gómez Zapata, Y. Zhu

Publikováno v: Natural Hazards and Earth System Sciences, Vol 24, Pp 1051-1064 (2024)

In this paper, we anticipate geospatial population distributions to quantify the future number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru. We capitalize upon existing gridded population time series data sets

Externí odkaz: https://doaj.org/article/8e3a8085dbc843ba8147b2b6b82179bf

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Akademický článek

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru

Autor: J. C. Gomez-Zapata, N. Brinckmann, S. Harig, R. Zafrir, M. Pittore, F. Cotton, A. Babeyko

Publikováno v: Natural Hazards and Earth System Sciences, Vol 21, Pp 3599-3628 (2021)

We propose the use of variable resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models for risk assessment to various natural hazards. Such a framework is especially beneficial when the spat

Externí odkaz: https://doaj.org/article/e388f63a595c47ee8df31db6c0e2721a

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Akademický článek

Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations

Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 11, Iss 11, Pp 3794-3815 (2019)

Abstract A new global climate model setup using FESOM2.0 for the sea ice‐ocean component and ECHAM6.3 for the atmosphere and land surface has been developed. Replacing FESOM1.4 by FESOM2.0 promises a higher efficiency of the new climate setup compa

Externí odkaz: https://doaj.org/article/788031fb96614560af7484ebb868377d

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Akademický článek

FESOM-C v.2: coastal dynamics on hybrid unstructured meshes

Autor: A. Androsov, V. Fofonova, I. Kuznetsov, S. Danilov, N. Rakowsky, S. Harig, H. Brix, K. H. Wiltshire

Publikováno v: Geoscientific Model Development, Vol 12, Pp 1009-1028 (2019)

We describe FESOM-C, the coastal branch of the Finite-volumE Sea ice – Ocean Model (FESOM2), which shares with FESOM2 many numerical aspects, in particular its finite-volume cell-vertex discretization. Its dynamical core differs in the implementati

Externí odkaz: https://doaj.org/article/4614ff5157f3413096a584aa133de56d

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Akademický článek

Operational tsunami modelling with TsunAWI – recent developments and applications

Autor: N. Rakowsky, A. Androsov, A. Fuchs, S. Harig, A. Immerz, S. Danilov, W. Hiller, J. Schröter

Publikováno v: Natural Hazards and Earth System Sciences, Vol 13, Iss 6, Pp 1629-1642 (2013)

In this article, the tsunami model TsunAWI (Alfred Wegener Institute) and its application for hindcasts, inundation studies, and the operation of the tsunami scenario repository for the Indonesian tsunami early warning system are presented. TsunAWI w

Externí odkaz: https://doaj.org/article/a34e00e47fd6432c8159bfb9a1db6dbc

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Akademický článek

A new multi-sensor approach to simulation assisted tsunami early warning

Autor: J. Behrens, A. Androsov, A. Y. Babeyko, S. Harig, F. Klaschka, L. Mentrup

Publikováno v: Natural Hazards and Earth System Sciences, Vol 10, Iss 6, Pp 1085-1100 (2010)

A new tsunami forecasting method for near-field tsunami warning is presented. This method is applied in the German-Indonesian Tsunami Early Warning System, as part of the Indonesian Tsunami Warning Center in Jakarta, Indonesia. The method employs a r

Externí odkaz: https://doaj.org/article/883f16e1f3064425bdf9abdbfa2502f8

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