Zobrazeno 1 - 10
of 125
pro vyhledávání: '"G. Zängl"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 3297-3308 (2024)
In climate modelling, the reality of simulated flows in the middle atmosphere is largely affected by the model's representation of gravity wave processes that are unresolved, while these processes are usually simplified to facili
Externí odkaz:
https://doaj.org/article/648e3e85234f4ebfbbb9020e5f301955
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 7153-7176 (2022)
This article describes the implementation of grid refinement in the ICOsahedral Nonhydrostatic (ICON) modeling system. It basically follows the classical two-way nesting approach known from widely used mesoscale models like MM5 or WRF, but it differs
Externí odkaz:
https://doaj.org/article/5265e7de4bbd4a5383ae7fa3c7f6181a
Autor:
T. V. Pham, C. Steger, B. Rockel, K. Keuler, I. Kirchner, M. Mertens, D. Rieger, G. Zängl, B. Früh
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 985-1005 (2021)
For the first time, the Limited-Area Mode of the new ICON (Icosahedral Nonhydrostatic) weather and climate model has been used for a continuous long-term regional climate simulation over Europe. Built upon the Limited-Area Mode of ICON (ICON-LAM), IC
Externí odkaz:
https://doaj.org/article/d6e86cb572194097ab872487438f5e63
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 3541-3569 (2019)
How the upper-atmosphere branch of the circulation contributes to and interacts with the circulation of the middle and lower atmosphere is a research area with many open questions. Inertia–gravity waves, for instance, have moved in the focus of res
Externí odkaz:
https://doaj.org/article/19b90139b171475f982dc9af9156e61a
Autor:
J. Schröter, D. Rieger, C. Stassen, H. Vogel, M. Weimer, S. Werchner, J. Förstner, F. Prill, D. Reinert, G. Zängl, M. Giorgetta, R. Ruhnke, B. Vogel, P. Braesicke
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 4043-4068 (2018)
Atmospheric composition studies on weather and climate timescales require flexible, scalable models. The ICOsahedral Nonhydrostatic model with Aerosols and Reactive Trace gases (ICON-ART) provides such an environment. Here, we introduce the most u
Externí odkaz:
https://doaj.org/article/42b1a9e968cd4411895b96e5a5c0f4f6
Autor:
M. A. Giorgetta, R. Brokopf, T. Crueger, M. Esch, S. Fiedler, J. Helmert, C. Hohenegger, L. Kornblueh, M. Köhler, E. Manzini, T. Mauritsen, C. Nam, T. Raddatz, S. Rast, D. Reinert, M. Sakradzija, H. Schmidt, R. Schneck, R. Schnur, L. Silvers, H. Wan, G. Zängl, B. Stevens
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 10, Iss 7, Pp 1613-1637 (2018)
Abstract ICON‐A is the new icosahedral nonhydrostatic (ICON) atmospheric general circulation model in a configuration using the Max Planck Institute physics package, which originates from the ECHAM6 general circulation model, and has been adapted t
Externí odkaz:
https://doaj.org/article/3fc427b856534df281ad5eca3fa98649
Autor:
D. Rieger, M. Bangert, I. Bischoff-Gauss, J. Förstner, K. Lundgren, D. Reinert, J. Schröter, H. Vogel, G. Zängl, R. Ruhnke, B. Vogel
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 6, Pp 1659-1676 (2015)
We present the first stage of a new online-coupled global to regional-scale modeling framework for the simulation of the spatiotemporal evolution of aerosols and trace gases. The underlying meteorological model is the new nonhydrostatic model syste
Externí odkaz:
https://doaj.org/article/f22f9c5925ff423e9461df8ebbd3aea4
Autor:
H. Wan, M. A. Giorgetta, G. Zängl, M. Restelli, D. Majewski, L. Bonaventura, K. Fröhlich, D. Reinert, P. Rípodas, L. Kornblueh, J. Förstner
Publikováno v:
Geoscientific Model Development, Vol 6, Iss 3, Pp 735-763 (2013)
As part of a broader effort to develop next-generation models for numerical weather prediction and climate applications, a hydrostatic atmospheric dynamical core is developed as an intermediate step to evaluate a finite-difference discretization of t
Externí odkaz:
https://doaj.org/article/f2a1bae464b746e7a686043c6e4ad57d
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 3, Pp 1017-1031 (2012)
Downstream models are often used in order to study regional impacts of climate and climate change on the land surface. For this purpose, they are usually driven offline (i.e., 1-way) with results from regional climate models (RCMs). However, the offl
Externí odkaz:
https://doaj.org/article/c9751e2285fe4a2ea9ce5c43550c43dd
Publikováno v:
Geoscientific Model Development, Vol 4, Iss 3, Pp 759-770 (2011)
The present study investigates a statistical approach for the downscaling of climate simulations focusing on those meteorological parameters most commonly required as input for climate change impact models (temperature, precipitation, air humidity an
Externí odkaz:
https://doaj.org/article/a6700282d5414456883ee026ed660cdf