Skip to main content

Currently Skimming:

Appendix E: Climate Modeling Survey: Summary Response
Pages 105-112

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 105...
... (I6L, I6S) 39 Majority research oriented 3 Majority operations oriented ~ Out of the responses that were majority research oriented, some stated that their research had direct operational relevance.
From page 106...
... climate and weather modeling capabilities relative to overseas efforts. Please describe where differences in capabilities exist and what you feel are the causes for these differences.
From page 107...
... · U.S. should take the lead in the physics of the climate system and its parameterization · Devolve computing resources away from computer centers to the users · Develop a responsive, interactive computing environment · Make it easier to access climate models for climate applications and to long-term model simulation data for analysis What additional upgrades would be incorporated if funds were available?
From page 108...
... (IV1L) 4 Massively parallel architecture is better 18 Parallel vector architecture is better MPP architecture is better but: - There are a lack of compilers for these systems - The transfer of code to MPP is not easy - Vendors are not ready to supply the needed systems Other comments: MPP is harder to use MPP benefit is that the processing time is cheaper as the cost of the systems and maintenance is less than for parallel vector systems MPP offers more CPU power and memory per dollar spent Some new models can only be run on MPP MPP requires longer code development MPP is not scalable MPP offers poor system software and is unstable MPP requires additional personnel MPP offers poor communication among processors 9.
From page 109...
... Are you currently planning to (or intending to in the future) convert model codes to run on massively parallel machines?
From page 110...
... (VIII1S) 11 Yes 1 No 1 Skilled personnel are not centrally located 1 No long-term strategy 1 Data outputs need to be made more user friendly 1 Satellite data needs to be made more user friendly Access to computing 1 Access to global models 1 Stable funding Do you feel that your modeling efforts are being limited by lack of sufficient high-end computing resources?
From page 111...
... (VI2L) 11 Enhanced computing capabilities 8 Enhanced human resources 7 Improved physical performance of the models 1 Build a modeling system infrastructure 4 Increase the number of models 7 Increase model resolution
From page 112...
... 112 APPENDIX E 1 Develop a high performance regional climate model 1 Adapt model code for parallel systems 1 Perform simulations on non-local systems 1 Additional R& D research funding 18. Do you feel that future modeling efforts will be hindered by the availability of quality graduate students?


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.