세계적으로 연구되고 있는 대기순환모형을 인터넷의 WWW를 이용하여 사용가능한 모형들에 대해서 아는데로 적어보았다. 아직 알려지지 않은 대기순환모형들도 많이 있지만 여기에 열거하는 모형들의 적용 범위로는 지역적인 것에서 부터 전 지구에 이르기 까지, CPU의 갯수로는 하나에서 부터 다중 프로세서까지 열거하고 있으며 앞으로 계속 새로운 소식을 추가할 예정이다.
It is a stable, efficient, documented, state of the art atmospheric general circulation model designed for climate research on high-speed supercomputers and select upper-end workstations.
CCM3 is a free resource for scientists and graduate students in a wide array of specialties to use in conducting global modeling experiments in their particular area of expertise without spending decades of their careers developing a complete global climate model of this complexity.
Over the last 10 years, CCM0, CCM1 and CCM2 have been used by numerous scientific institutions around the world for basic research into such areas as CO2 warming and climate change, climate prediction and predictability, atmospheric chemistry, paleoclimate, biosphere-atmosphere transfer and nuclear winter.
CCCma has develped a number of climate simulation models for climate prediction, study of climate change and variability, and to better understand the various processes which govern our climate system. A brief description of these models and their corresponding references can be found in this section.
The CSU GCM is expressed in 175 subroutines and 29 common blocks totalling nearly 40,000 lines of the FORTRAN language to perform its calculations on a computer. The bulk of the code conforms to the FORTRAN77 standard, with the FORTRAN90 extensions of array syntax, dynamic array allocation, and the WHERE statement also in use. The use of computer specific extensions is minimized and their use is controlled by use of C-preprocessor statements that are executed before the compilation step.
The CSU GCM is run on vector processing supercomputers including the Cray YMP, Cray C90, Cray2 and J90 using a single processor with 64 bit arithmetic. It also is run on HP-PA Risc, SGI and SUN workstations with 32 bit precision. At its standard resolution of 4x5 degrees latitude-longitude resolution with 17 levels, it requires 20Mwords of memory on a Cray system, and 128Mbytes of memory on a 32 bit workstation. On the Cray vector machines, the code is capable of multitasking, with a speedup of 4.8 on 6 processors.
The PSU/NCAR mesoscale model is a limited-area, hydrostatic or nonhydrostatic, sigma-coordinate model designed to simulate or predict mesoscale and regional-scale atmospheric circulation. It has been developed at Penn State and NCAR as a community mesoscale model and is continuously being improved by contributions from users at several universities and government laboratories.
The numerical atmospheric models developed independently under the direction of William R. Cotton and Roger A. Pielke have recently been combined into the CSU Regional Atmospheric Modelling System (RAMS). Development of many of the physical modules has been accomplished over the past 15 years and has involved over 50 man years of effort. RAMS is a general and flexible modelling system rather than a single purpose model. For example, current research using RAMS includes atmospheric scales ranging from large eddy simulations to mesoscale simulations of convective systems . This paper will discuss the options available in RAMS, the engineering aspects of the system and how the flexibility is attained.
