Zobrazeno 1 - 10
of 161
pro vyhledávání: '"NUMERICAL WEATHER MODEL"'
Publikováno v:
南方能源建设, Vol 11, Iss 1, Pp 96-104 (2024)
[Introduction] Combining mesoscale numerical model and large eddy simulation (LES) model, numerical sumulation of sub-kilometer-scale project unit placement is carried out, which takes into account atmospheric boundary layer changes. It provides offs
Externí odkaz:
https://doaj.org/article/13a2421195364c0c8fecbf799c517ac3
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4165 (2024)
In recent years, precipitable water vapor has emerged as a key atmospheric parameter in weather prediction research. However, relying on only one parameter does not always accurately predict rainfall, as other atmospheric parameters also contribute t
Externí odkaz:
https://doaj.org/article/9b971334d37b47fa85e6784e6b63b407
Publikováno v:
Meteorological Applications, Vol 30, Iss 6, Pp n/a-n/a (2023)
Abstract The weighted mean temperature (Tm) plays a crucial role in calculating Precipitable Water Vapor (PWV) and integrated water vapor (IWV) using Global Navigation Satellite Systems (GNSS) techniques. Currently, the primary sources for meteorolog
Externí odkaz:
https://doaj.org/article/c7502d07ba104f8d9bd7305aabf1fd8b
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
فصلنامه علوم و فناوری فضایی, Vol 15, Iss ویژه نامه انگلیسی, Pp 15-24 (2022)
In this research, three-dimensional and four-dimensional tomography is used to demonstrate the distribution of wet refractivity index of the troposphere. In this model, spherical cap harmonics are used for the horizontal distribution of the wet refra
Externí odkaz:
https://doaj.org/article/af034ef1cb454e7fb784763e2096e6c7
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Shrivathsan Narayanan, Okuary Osechas
Publikováno v:
Sensors, Vol 22, Iss 23, p 9263 (2022)
This paper introduces a technique to transform between geometric and barometric estimates of altitude and vice-versa. Leveraging forecast numerical weather models, the method is unbiased and has a vertical error with a standard deviation of around 30
Externí odkaz:
https://doaj.org/article/655a313f9ddf4ec3bd9cbbc6d18ef8b8
Autor:
Martina Lagasio, Luca Pulvirenti, Antonio Parodi, Giorgio Boni, Nazzareno Pierdicca, Giovanna Venuti, Eugenio Realini, Giulio Tagliaferro, Stefano Barindelli, Bjorn Rommen
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 16-33 (2019)
This paper presents the first experimental results of a study on the ingestion in the Weather Research and Forecasting (WRF) model, of Sentinel satellites and Global Navigation Satellite Systems (GNSS) derived products. The experiments concern a flas
Externí odkaz:
https://doaj.org/article/446f45541b7a426e983bb93eb5dbb399