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Wyszukujesz frazę "Wyszogrodzki, A." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Operational setup of the soil-perturbed, time-lagged Ensemble Prediction System at the Institute of Meteorology and Water Management – National Research Institute
Autorzy:
Duniec, G.
Interewicz, W.
Mazur, A.
Wyszogrodzki, A.
Powiązania:
https://bibliotekanauki.pl/articles/108496.pdf
Data publikacji:
2017
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
ensemble forecast
soil parameterization
operational setup
time-lagged ensemble
Opis:
The usage of Ensemble Prediction System (EPS)-based weather forecasts is nowadays becoming very popular and widespread, because ensemble means better represent weather-related risks than a single (deterministic) forecast. Perturbations of the lower boundary state (i.e., layers of soil and the boundary between soil and the lower atmosphere) applied to the governing system are also believed to play an important role at any resolution. As a part of the research project of the Consortium for Small-scale Modelling (COSMO) at the Institute of Meteorology and Water Management – National Research Institute (IMWM-NRI), a simple and efficient method was proposed to produce a reasonable number of valid ensemble members, taking into consideration predefined soil-related model parameters. Tests, case studies and long-term evaluations confirmed that small perturbations of a selected parameter(s) were sufficient to induce significant changes in the forecast of the state of the atmosphere and to provide qualitative selection of a valid member of the ensemble members. Another important factor that added a significant increment to ensemble spread was the time-lagged approach. All these aspects resulted in the preparation of a well-defined ensemble based on the perturbation of soil-related parameters, and introduced in the COSMO model operational setup at the IMWM-NRI. This system is intended for the use in forecasters’ routine work.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2017, 5, 2; 43-51
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulations of Gravity Wave Induced Turbulence Using 512 Pe Cray T3e
Autorzy:
Prusa, J. M.
Smolarkiewicz, P. K.
Wyszogrodzki, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/908075.pdf
Data publikacji:
2001
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fala grawitacyjna
turbulencja
nonhydrostatic gravity wave turbulence
parallel Navier-Stokes solver
Opis:
A 3D nonhydrostatic, Navier-Stokes solver has been employed to simulate gravity wave induced turbulence at mesopause altitudes. This paper extends our earlier 2D study reported in the literature to three spatial dimensions while maintaining fine resolution required to capture essential physics of the wave breaking. The calculations were performed on the 512 processor Cray T3E machine at the National Energy Research Scientific Computing Center (NERSC) in Berkeley. The physical results of this study clearly demonstrate advantages of highly parallel technologies. We briefly outline the physical outcome of the study, as well as compare the relative model performance across several machines using both MPI and Shmem communication software.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2001, 11, 4; 883-897
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Precipitation estimation and nowcasting at IMGW-PIB (SEiNO system)
Autorzy:
Szturc, J.
Jurczyk, A.
Ośródka, K.
Wyszogrodzki, A.
Giszterowicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/108484.pdf
Data publikacji:
2018
Wydawca:
Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
Tematy:
opad atmosferyczny
prognoza probabilistyczna
szacowanie
opad
dane
wysoka rozdzielczość
precipitation
nowcasting
probabilistic forecast
precipitation estimation
high-resolution data
Opis:
A System for the Estimation and Nowcasting of Precipitation (SEiNO) is being developed at the Institute of Meteorology and Water Management – National Research Institute. Its aim is to provide the national meteorological and hydrological service with comprehensive operational tools for real-time high-resolution analyses and forecasts of precipitation fields. The system consists of numerical models for: (i) precipitation field analysis (estimation), (ii) precipitation nowcasting, i.e., extrapolation forecasting for short lead times, (iii) generation of probabilistic nowcasts. The precipitation estimation is performed by the conditional merging of information from telemetric rain gauges, the weather radar network, and the Meteosat satellite, employing quantitative quality information (quality index). Nowcasts are generated by three numerical models, employing various approaches to take account of different aspects of convective phenomena. Probabilistic forecasts are computed based on the investigation of deterministic forecast reliability determined in real time. Some elements of the SEiNO system are still under development and the system will be modernized continuously to reflect the progress in measurement techniques and advanced methods of meteorological data processing.
Źródło:
Meteorology Hydrology and Water Management. Research and Operational Applications; 2018, 6, 1; 1-12
2299-3835
2353-5652
Pojawia się w:
Meteorology Hydrology and Water Management. Research and Operational Applications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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