Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nedjeljka Zagar"'
Autor:
Kevin Raeder, Jeffrey Anderson, Moha El Gharamti, Benjamin Johnson, Benjamin Gaubert, Soyoung Ha, Craig Schwartz, Nedjeljka Zagar, Shixuan Zhang, Helen Kershaw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a4dc0b22be8931c9cf9bdf1cedae78
https://doi.org/10.1002/essoar.10510010.1
https://doi.org/10.1002/essoar.10510010.1
Autor:
Nedjeljka Žagar, Joseph Tribbia
This book reviews the theory and applications of the normal-mode functions in numerical weather prediction and weather and climate dynamics. The normal-mode functions, the eigensolutions of the linearized primitive equations describing the evolution
Autor:
Blaz Jasenko, Frano Matić, Martina Tudor, Ivica Vilibić, Nedjeljka Zagar, Hrvoje Mihanović, Hrvoje Kalinić
Publikováno v:
OCEANS 2015 - Genova.
Self-Organising Maps (SOM) method has been used for obtaining characteristic surface wind patterns modelled by two state-of-the-art mesoscale meteorological models, Aladin/HR and WRF-ARW, operational in the northern Adriatic. SOM patterns encompassed
Autor:
Claudia Christine Stephan, Julia Duras, Lucas Harris, Daniel Klocke, William M. Putman, Mark Taylor, Nils P. Wedi, Nedjeljka Žagar, Florian Ziemen
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 74, Iss 1 (2022)
Eleven 40-day long integrations of five different global models with horizontal resolutions of less than 9 km are compared in terms of their global energy spectra. The method of normal-mode function decomposition is used to distinguish between balanc
Externí odkaz:
https://doaj.org/article/d44099f1ff0946219e6cfe915c1d3052
Autor:
Nedjeljka Žagar
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
This paper discusses the scale-dependent growth of the global forecast uncertainties simulated by the operational ensemble prediction system of the European Centre for Medium-Range Weather Forecasts. It is shown that the initial uncertainties are lar
Externí odkaz:
https://doaj.org/article/daf564af162d4cb297616dc7ff6aa7e2
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
We assess the scale-dependent growth of forecast errors based on a 50-member global forecast ensemble from the European Centre for Medium Range Weather Forecasts. Simulated forecast errors are decomposed into scales and a new parametric model for the
Externí odkaz:
https://doaj.org/article/bdd94ad080a64cc88598da15bc85f29e