Zobrazeno 1 - 10
of 56
pro vyhledávání: '"K. Eb"'
Publikováno v:
Финансы: теория и практика, Vol 28, Iss 4, Pp 97-107 (2024)
Capital inflows could thwart monetary policies by stimulating reckless lending and asset bubbles, resulting in financial instability. This study examines the effect of inward capital flows on financial stability in Nigeria, spanning over 2003 to 2019
Externí odkaz:
https://doaj.org/article/16ab8882c49e4d80b39358a62223cdc4
Autor:
A. Walbröl, J. Michaelis, S. Becker, H. Dorff, K. Ebell, I. Gorodetskaya, B. Heinold, B. Kirbus, M. Lauer, N. Maherndl, M. Maturilli, J. Mayer, H. Müller, R. A. J. Neggers, F. M. Paulus, J. Röttenbacher, J. E. Rückert, I. Schirmacher, N. Slättberg, A. Ehrlich, M. Wendisch, S. Crewell
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 8007-8029 (2024)
How air masses transform during meridional transport into and out of the Arctic is not well represented by numerical models. The airborne field campaign HALO-(𝒜𝒞)3 applied the High Altitude and Long-range Research Aircraft (HALO) within the fra
Externí odkaz:
https://doaj.org/article/0e9dc7812a7b4711874aefedab6cdb40
Autor:
M. Belda, N. Benešová, J. Resler, P. Huszár, O. Vlček, P. Krč, J. Karlický, P. Juruš, K. Eben
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3867-3878 (2024)
This paper introduces FUME 2.0, an open-source emission processor for air quality modeling, and documents the software structure, capabilities, and sample usage. FUME provides a customizable framework for emission preparation tailored to user needs.
Externí odkaz:
https://doaj.org/article/12af1c14d44f41119fbe4c5be892fd4f
Publikováno v:
Wasit Journal of Engineering Sciences. 8:1-11
This paper presents an experimental investigation on the effects of incorporating coarse recycled concrete aggregates (RCA) on the punching and flexural behaviour of reinforced concrete two-way slabs. For this purpose, four concrete mixes were design
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 2901-2927 (2024)
We present the process of and difficulties in acquiring the proper boundary conditions (BCs) for the state-of-the-art large-eddy simulation (LES)-based PALM model system. We use the mesoscale Weather Research and Forecasting (WRF) model as a source o
Externí odkaz:
https://doaj.org/article/6d8dd643098f406c95867ecef80a125f
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 4347-4387 (2024)
Fine particulate matter (PM2.5) is among the air pollutants representing the most critical threat to human health in Europe. For designing strategies to mitigate this kind of air pollution, it is essential to identify and quantify the sources of its
Externí odkaz:
https://doaj.org/article/54992f1079024f74bd7a200fe5a87bad
Autor:
G. Chellini, R. Gierens, K. Ebell, T. Kiszler, P. Krobot, A. Myagkov, V. Schemann, S. Kneifel
Publikováno v:
Earth System Science Data, Vol 15, Pp 5427-5448 (2023)
We present a comprehensive quality-controlled 15-month dataset of remote sensing observations of low-level mixed-phase clouds (LLMPCs) taken at the high Arctic site of Ny-Ålesund, Svalbard, Norway. LLMPCs occur frequently in the Arctic region and ex
Externí odkaz:
https://doaj.org/article/e881462da5424f0387c62fdec0f0ae6c
Publikováno v:
Periodicals of Engineering and Natural Sciences (PEN). 9:831
This paper presents an experimental investigation on the effects of incorporating Stainless-Steel Fibers (SSF) on the flexural behavior of reinforced concrete two-way slabs. For this deal, three types of steel fiber (straight, hooked, and corrugated
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 2903-2918 (2023)
The role of clouds in the Arctic radiation budget is not well understood. Ground-based and airborne measurements provide valuable data to test and improve our understanding. However, the ground-based measurements are intrinsically sparse, and the air
Externí odkaz:
https://doaj.org/article/7e047bf6923d4f26aff999885e1a5cef
Publikováno v:
علوم آب و خاک, Vol 26, Iss 4, Pp 281-297 (2023)
In this study, the accuracy of the Adaptive Network-Based Fuzzy Inference System (ANFIS) in integrating with the Gray Wolf Algorithm (ANFIS-GWO) in predicting groundwater level was evaluated for the first time using unpublished observational data fro
Externí odkaz:
https://doaj.org/article/cb530ab0351f4165b38804c9ac5d2fd7