scholarly journals An analysis of cloud cover in multiscale modeling framework global climate model simulations using 4 and 1 km horizontal grids

2010 ◽  
Vol 115 (D16) ◽  
Author(s):  
Roger Marchand ◽  
Thomas Ackerman
Keyword(s):  
Multiscale Modeling ◽  
Cloud Cover ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Modeling Framework ◽  
Model Simulations ◽  
Climate Model Simulations ◽  
Multiscale Modeling Framework

scholarly journals Remote sensing of aerosols in the Arctic for an evaluation of global climate model simulations

2014 ◽  
Vol 119 (13) ◽  
pp. 8169-8188 ◽  
Author(s):  
Paul Glantz ◽  
Adam Bourassa ◽  
Andreas Herber ◽  
Trond Iversen ◽  
Johannes Karlsson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
The Arctic ◽  
Model Simulations ◽  
Climate Model Simulations

scholarly journals Elevation-dependent warming in global climate model simulations at high spatial resolution

2018 ◽  
Vol 52 (5-6) ◽  
pp. 2685-2702 ◽  
Author(s):  
Elisa Palazzi ◽  
Luca Mortarini ◽  
Silvia Terzago ◽  
Jost von Hardenberg
Keyword(s):  
Spatial Resolution ◽  
Climate Model ◽  
High Spatial Resolution ◽  
Global Climate ◽  
Global Climate Model ◽  
Model Simulations ◽  
Climate Model Simulations

scholarly journals A vertically resolved, global, gap-free ozone database for assessing or constraining global climate model simulations

2012 ◽  
Vol 5 (2) ◽  
pp. 999-1033 ◽  
Author(s):  
G. E. Bodeker ◽  
B. Hassler ◽  
P. J. Young ◽  
R. W. Portmann
Keyword(s):  
Regression Model ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Initial Guess ◽  
Model Fit ◽  
Total Column Ozone ◽  
Model Simulations ◽  
Climate Model Simulations ◽  
Vertical Level

Abstract. High vertical resolution ozone measurements from eight different satellite-based instruments have been merged with data from the global ozonesonde network to calculate monthly mean ozone values in 5° latitude zones. These "Tier 0" ozone number densities and ozone mixing ratios are provided on 70 altitude levels (1 to 70 km) and on 70 pressure levels spaced ~1 km apart (878.4 hPa to 0.046 hPa). The Tier 0 data are sparse and do not cover the entire globe or altitude range. To provide a gap-free database, a least squares regression model is fitted to the Tier 0 data and then evaluated globally. The regression model fit coefficients are expanded in Legendre polynomials to account for latitudinal structure, and in Fourier series to account for seasonality. Regression model fit coefficient patterns, which are two dimensional fields indexed by latitude and month of the year, from the N-th vertical level serve as an initial guess for the fit at the N+1th vertical level. The initial guess field for the first fit level (20 km/58.2 hPa) was derived by applying the regression model to total column ozone fields. Perturbations away from the initial guess are captured through the Legendre and Fourier expansions. By applying a single fit at each level, and using the approach of allowing the regression fits to change only slightly from one level to the next, the regression is less sensitive to measurement anomalies at individual stations or to individual satellite-based instruments. Particular attention is paid to ensuring that the low ozone abundances in the polar regions are captured. By summing different combinations of contributions from different regression model basis functions, four different "Tier 1" databases have been compiled for different intended uses. This database is suitable for assessing ozone fields from chemistry-climate model simulations or for providing the ozone boundary conditions for global climate model simulations that do not treat stratospheric chemistry interactively.

Assessment of the CMIP5 global climate model simulations of the western tropical Pacific climate system and comparison to CMIP3

2014 ◽  
Vol 34 (12) ◽  
pp. 3382-3399 ◽  
Author(s):  
Michael R. Grose ◽  
Jaclyn N. Brown ◽  
Sugata Narsey ◽  
Josephine R. Brown ◽  
Bradley F. Murphy ◽  
...  
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Tropical Pacific ◽  
Climate System ◽  
Model Simulations ◽  
Western Tropical Pacific ◽  
Climate Model Simulations
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