Zobrazeno 1 - 10
of 602
pro vyhledávání: '"J, Majda"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract Cumulus parameterization (CP) in state‐of‐the‐art global climate models is based on the quasi‐equilibrium assumption (QEA), which views convection as the action of an ensemble of cumulus clouds, in a state of equilibrium with respect
Externí odkaz:
https://doaj.org/article/dc74e120656a451ab0843e834a716e75
Autor:
Andrew J. Majda, Andrea L. Bertozzi
This book is a comprehensive introduction to the mathematical theory of vorticity and incompressible flow ranging from elementary introductory material to current research topics. While the contents center on mathematical theory, many parts of the bo
Publikováno v:
Journal of Climate. 34:3481-3501
El Niño–Southern Oscillation (ENSO) diversity has a significant impact on global climate and seasonal prediction. However, it is still a challenging problem for present-day global climate models to simulate different types of ENSO events with real
Publikováno v:
Journal of the Atmospheric Sciences. 78:1545-1565
The barrier effect of the Maritime Continent (MC) in stalling or modifying the propagation characteristics of the MJO is widely accepted. The strong diurnal cycle of convection over the MC is believed to play a dominant role in this regard. This hypo
Autor:
G. A. Gottwald, A. J. Majda
Publikováno v:
Nonlinear Processes in Geophysics, Vol 20, Iss 5, Pp 705-712 (2013)
We study catastrophic filter divergence in data assimilation procedures whereby the forecast model develops severe numerical instabilities leading to a blow-up of the solution. Catastrophic filter divergence can occur in sparse observational grids wi
Externí odkaz:
https://doaj.org/article/b0a242f0b1f745ed857f25e02f2004ca
Publikováno v:
Journal of Nonlinear Science. 30:3235-3263
Recent laboratory experiments of Bolles et al. (Phys Rev Fluids 4(1):011801, 2019) demonstrate that an abrupt change in bottom topography can trigger anomalous statistics in randomized surface waves. Motivated by these observations, Majda et al. (Pro
Autor:
C. T. Sabeerali, V. Praveen, R. S. Ajayamohan, D. S. Pai, Andrew J. Majda, Boualem Khouider, M. Rajeevan
Publikováno v:
Journal of Hydrometeorology. 21:909-933
Rain gauge data are routinely recorded and used around the world. However, their sparsity and inhomogeneity make them inadequate for climate model calibration and many other climate change studies. Various algorithms and interpolation techniques have
Autor:
Andrew J. Majda, Nan Chen
Publikováno v:
Entropy, Vol 20, Iss 9, p 644 (2018)
Complex multiscale systems are ubiquitous in many areas. This research expository article discusses the development and applications of a recent information-theoretic framework as well as novel reduced-order nonlinear modeling strategies for understa
Externí odkaz:
https://doaj.org/article/f44d84d090aa4826aecc7e9306eaeb6f
Autor:
Nan Chen, Andrew J. Majda
Publikováno v:
Entropy, Vol 20, Iss 7, p 509 (2018)
A conditional Gaussian framework for understanding and predicting complex multiscale nonlinear stochastic systems is developed. Despite the conditional Gaussianity, such systems are nevertheless highly nonlinear and are able to capture the non-Gaussi
Externí odkaz:
https://doaj.org/article/34c2ac4342204a3daef9861fdf541e05
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