Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Soner Yorgun"'
Autor:
M. Soner Yorgun, Richard B. Rood
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 8, Iss 4, Pp 1769-1785 (2016)
Abstract An object‐based evaluation method using a pattern recognition algorithm (i.e., classification trees) is applied to the simulated orographic precipitation for idealized experimental setups using the National Center of Atmospheric Research (
Externí odkaz:
https://doaj.org/article/e2c765fc052744c783b2ebbf511b8f0f
Autor:
Alessandro Fasso, Greg Bodeker, Soner Yorgun, Birgit Hassler, Jeffrey K. Lazo, Kai-Lan Chang, Christopher T. M. Clack, Jason M. English, Dale F. Hurst
Publikováno v:
Journal of Applied Meteorology and Climatology. 56:3211-3228
Observing systems consisting of a finite number of in situ monitoring stations can provide high-quality measurements with the ability to quality assure both the instruments and the data but offer limited information over larger geographic areas. This
Autor:
Soner Yorgun, M.1,2 soner.yorgun@noaa.gov, Rood, Richard B.3
Publikováno v:
Journal of Advances in Modeling Earth Systems. Dec2016, Vol. 8 Issue 4, p1769-1785. 17p.
Autor:
Richard B. Rood, M. Soner Yorgun
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 8, Iss 4, Pp 1769-1785 (2016)
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems
An object‐based evaluation method using a pattern recognition algorithm (i.e., classification trees) is applied to the simulated orographic precipitation for idealized experimental setups using the National Center of Atmospheric Research (NCAR) Com
Autor:
Richard B. Rood, M. Soner Yorgun
Publikováno v:
Journal of Climate. 27:9139-9154
An object-based evaluation method to quantify biases of general circulation models (GCMs) is introduced using the National Center of Atmospheric Research (NCAR) Community Atmosphere Model (CAM). Idealized experiments with different topography are des