Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gyorgyi Gyarmati"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 9, Pp n/a-n/a (2021)
Abstract This study further evaluates the modeling approach of Jia et al. (2019), https://doi.org/10.1029/2019gl081960 (JEA19) to investigate the potential effects of mesoscale sea surface temperature (SST) variability on the atmospheric circulation.
Externí odkaz:
https://doaj.org/article/322ab6860c9d4c51a40d8d5b7900308a
Publikováno v:
Monthly Weather Review. 143:3956-3980
The standard statistical model of data assimilation assumes that the background and observation errors are normally distributed, and the first- and second-order statistical moments of the two distributions are known or can be accurately estimated. Be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::480619004f573b97f84315fb25d03c2f
https://doi.org/10.1175/mwr-d-14-00158.1
https://doi.org/10.1175/mwr-d-14-00158.1
Publikováno v:
Journal of the Atmospheric Sciences. 70:3415-3447
The paper investigates the processes that drive the spatiotemporal evolution of baroclinic transient waves in the Martian atmosphere by a simulation experiment with the Geophysical Fluid Dynamics Laboratory (GFDL) Mars general circulation model (GCM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c78369cd4b3d6132587bb4580fa2bde
https://doi.org/10.1175/jas-d-12-0262.1
https://doi.org/10.1175/jas-d-12-0262.1
Publikováno v:
Monthly Weather Review. 141:1866-1883
This study investigates the benefits of employing a limited-area data assimilation (DA) system to enhance lower-resolution global analyses in the northwest Pacific tropical cyclone (TC) basin. Numerical experiments are carried out with a global analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b501de16dc4012aadcc791a7c28bf509
https://doi.org/10.1175/mwr-d-12-00093.1
https://doi.org/10.1175/mwr-d-12-00093.1
Autor:
Gyorgyi Gyarmati, Eugenia Kalnay, Ross N. Hoffman, Takemasa Miyoshi, R. John Wilson, Steven J. Greybush, Kayo Ide, Istvan Szunyogh, Matthew J. Hoffman, Eric J. Kostelich
Publikováno v:
Icarus. 209:470-481
The local ensemble transform Kalman filter (LETKF) is applied to the GFDL Mars general circulation model (MGCM) to demonstrate the potential benefit of an advanced data assimilation method. In perfect model (aka identical twin) experiments, simulated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0db18d8a3a25a0f7313328bd2b75c6f
https://doi.org/10.1016/j.icarus.2010.03.034
https://doi.org/10.1016/j.icarus.2010.03.034
Autor:
David D. Kuhl, D. J. Patil, Gyorgyi Gyarmati, Istvan Szunyogh, Eric J. Kostelich, Brian R. Hunt, Michael Oczkowski, Edward Ott, James A. Yorke, Eugenia Kalnay
Publikováno v:
Journal of the Atmospheric Sciences. 64:1116-1140
In this paper, the spatiotemporally changing nature of predictability is studied in a reduced-resolution version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS), a state-of-the-art numerical weather prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c5cabfd1f575a1397d1d4a1b8996264
https://doi.org/10.1175/jas3885.1
https://doi.org/10.1175/jas3885.1
Autor:
Istvan Szunyogh, Edward Ott, Eric J. Kostelich, James A. Yorke, Gyorgyi Gyarmati, Eugenia Kalnay, D. J. Patil, Brian R. Hunt
Publikováno v:
Tellus A; Vol 57, No 4 (2005)
The accuracy and computational efficiency of the recently proposed local ensemble Kalman filter (LEKF) data assimilation scheme is investigated on a state-of-the-art operational numerical weather prediction model using simulated observations. The mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::057a18303617aeb2d0d3b3ee168b2c12
https://doi.org/10.1111/j.1600-0870.2005.00136.x
https://doi.org/10.1111/j.1600-0870.2005.00136.x
Autor:
Istvan Szunyogh, Brian R. Hunt, Gyorgyi Gyarmati, Eugenia Kalnay, Eric J. Kostelich, Elizabeth A. Satterfield, James A. Yorke, Edward Ott
Publikováno v:
Tellus A; Vol 60, No 1 (2008)
The accuracy and computational efficiency of a parallel computer implementation of the Local Ensemble Transform Kalman Filter (LETKF) data assimilation scheme on the model component of the 2004 version of the Global Forecast System (GFS) of the Natio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::028e73657e6134efbccf14a85d4f953a
https://doi.org/10.3402/tellusa.v60i1.15270
https://doi.org/10.3402/tellusa.v60i1.15270