scholarly journals Global warming projection using NCAR Climate System Model (CSM)

1998 ◽  
Vol 6 ◽  
pp. 187-192
Author(s):  
Hiromaru HIRAKUCHI ◽  
Kohki MARUYAMA ◽  
Jun'ichi TSUTSUI ◽  
Norikazu NAKASHIKI
Keyword(s):  
Global Warming ◽  
Climate System ◽  
System Model ◽  
Climate System Model ◽  
Global Warming Projection

Deep Convective Transition Characteristics in the Community Climate System Model and Changes under Global Warming

2014 ◽  
Vol 27 (24) ◽  
pp. 9214-9232 ◽  
Author(s):  
Sandeep Sahany ◽  
J. David Neelin ◽  
Katrina Hales ◽  
Richard B. Neale
Keyword(s):  
Global Warming ◽  
Water Vapor ◽  
Extreme Events ◽  
Climate System ◽  
System Model ◽  
Frequency Of Occurrence ◽  
Tropospheric Temperature ◽  
Community Climate System Model ◽  
Climate System Model ◽  
Community Climate

Abstract Tropical deep convective transition characteristics, including precipitation pickup, occurrence probability, and distribution tails related to extreme events, are analyzed using uncoupled and coupled versions of the Community Climate System Model (CCSM) under present-day and global warming conditions. Atmospheric Model Intercomparison Project–type simulations using a 0.5° version of the uncoupled model yield good matches to satellite retrievals for convective transition properties analyzed as a function of bulk measures of water vapor and tropospheric temperature. Present-day simulations with the 1.0° coupled model show transition behavior not very different from that seen in the higher-resolution uncoupled version. Frequency of occurrence of column water vapor (CWV) for precipitating points shows reasonable agreement with the retrievals, including the longer-than-Gaussian tails of the distributions. The probability density functions of precipitating grid points collapse toward similar form when normalized by the critical CWV for convective onset in both historical and global warming cases. Under global warming conditions, the following statements can be made regarding the precipitation statistics in the simulation: (i) as the rainfall pickup shifts to higher CWV with warmer temperatures, the critical CWV for the current climate is a good predictor for the same quantity under global warming with the shift given by straightforward conditional instability considerations; (ii) to a first approximation, the probability distributions shift accordingly, except that (iii) frequency of occurrence in the longer-than-Gaussian tail increases considerably, with implications for occurrences of extreme events; and, thus, (iv) precipitation conditional averages on CWV and tropospheric temperature tend to extend to higher values.

scholarly journals A Scalable and Adaptable Solution Framework within Components of the Community Climate System Model

2009 ◽  
pp. 332-341 ◽  
Author(s):  
Katherine J. Evans ◽  
Damian W. I. Rouson ◽  
Andrew G. Salinger ◽  
Mark A. Taylor ◽  
Wilbert Weijer ◽  
...  
Keyword(s):  
Climate System ◽  
System Model ◽  
Community Climate System Model ◽  
Climate System Model ◽  
Community Climate

scholarly journals BCC-CSM2-HR: A High-Resolution Version of the Beijing Climate Center Climate System Model

2020 ◽  
Author(s):  
Tongwen Wu ◽  
Rucong Yu ◽  
Yixiong Lu ◽  
Weihua Jie ◽  
Yongjie Fang ◽  
...  
Keyword(s):  
High Resolution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Climate System ◽  
Sea Surface ◽  
System Model ◽  
Quasi Biennial Oscillation ◽  
Climate System Model ◽  
Medium Resolution ◽  
The Tropics

Abstract. BCC-CSM2-HR is a high-resolution version of the Beijing Climate Center (BCC) Climate System Model. Its development is on the basis of the medium-resolution version BCC-CSM2-MR which is the baseline for BCC participation to the Coupled Model Intercomparison Project Phase 6 (CMIP6). This study documents the high-resolution model, highlights major improvements in the representation of atmospheric dynamic core and physical processes. BCC-CSM2-HR is evaluated for present-day climate simulations from 1971 to 2000, which are performed under CMIP6-prescribed historical forcing, in comparison with its previous medium-resolution version BCC-CSM2-MR. We focus on basic atmospheric mean states over the globe and variabilities in the tropics including the tropic cyclones (TCs), the El Niño–Southern Oscillation (ENSO), the Madden-Julian Oscillation (MJO), and the quasi-biennial oscillation (QBO) in the stratosphere. It is shown that BCC-CSM2-HR keeps well the global energy balance and can realistically reproduce main patterns of atmosphere temperature and wind, precipitation, land surface air temperature and sea surface temperature. It also improves in the spatial patterns of sea ice and associated seasonal variations in both hemispheres. The bias of double intertropical convergence zone (ITCZ), obvious in BCC-CSM2-MR, is almost disappeared in BCC-CSM2-HR. TC activity in the tropics is increased with resolution enhanced. The cycle of ENSO, the eastward propagative feature and convection intensity of MJO, the downward propagation of QBO in BCC-CSM2-HR are all in a better agreement with observation than their counterparts in BCC-CSM2-MR. We also note some weakness in BCC-CSM2-HR, such as the excessive cloudiness in the eastern basin of the tropical Pacific with cold Sea Surface Temperature (SST) biases and the insufficient number of tropical cyclones in the North Atlantic.

scholarly journals A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980–2012 period

2014 ◽  
Vol 66 (1) ◽  
pp. 23967 ◽  
Author(s):  
Florence Sevault ◽  
Samuel Somot ◽  
Antoinette Alias ◽  
Clotilde Dubois ◽  
Cindy Lebeaupin-Brossier ◽  
...  
Keyword(s):  
Regional Climate ◽  
Climate System ◽  
System Model ◽  
Model Design ◽  
Climate System Model ◽  
System Model Design ◽  
Fully Coupled

Improving the prediction skill for China summer rainfall through correcting leading modes in Beijing Climate Center's Climate System Model

2019 ◽  
Vol 39 (11) ◽  
pp. 4329-4339
Author(s):  
Xiaojuan Wang ◽  
Li Liu ◽  
Po Hu ◽  
Zhiqiang Gong ◽  
Guolin Feng
Keyword(s):  
Summer Rainfall ◽  
Climate System ◽  
Prediction Skill ◽  
System Model ◽  
Climate System Model
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