GSTDTAP  > 地球科学
DOI10.2172/1147164
报告编号ORNL/TM--2014/21
来源IDOSTI ID: 1147164
Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report
Hoffman, Forest M.; Bochev, Pavel B.; Cameron-Smith, Philip J..
2014-01-15
出版年2014
页数30
语种英语
国家美国
领域地球科学
英文摘要The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach. In particular, this project is implementing and optimizing new computationally efficient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system.
英文关键词Earth System Models climate biospheric feedbacks
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来源平台US Department of Energy (DOE)
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文献类型科技报告
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/6696
专题地球科学
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Hoffman, Forest M.,Bochev, Pavel B.,Cameron-Smith, Philip J... Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report,2014.
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